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nis elements viewer  (Nikon)


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    Nikon nis elements viewer
    Nis Elements Viewer, supplied by Nikon, used in various techniques. Bioz Stars score: 99/100, based on 39694 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/nis-elements+viewer/NIS-Elements/pmc13039486-341-11-13
    Average 99 stars, based on 39694 article reviews
    nis elements viewer - by Bioz Stars, 2026-09
    99/100 stars

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    DNA Extraction:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Marker:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Bioprocessing:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Injection:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Real-time Polymerase Chain Reaction:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Sequencing:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Software:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Microscopy:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Eye Drops:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    RNAscope:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Immunohistochemistry:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Staining:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    CRISPR:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Knock-Out:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Recombinant:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Cell Counting:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Reverse Transcription:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Whole Genome Amplification:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Virus:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    ATP Assay:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Saline:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Cloning:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Plasmid Preparation:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Gel Extraction:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Mutagenesis:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.


    Enzyme-linked Immunosorbent Assay:

    Article Title: FOXC1 and FOXC2 maintain mitral valve endothelial cell junctions, extracellular matrix, and lymphatic vessels to prevent myxomatous degeneration
    Article Snippet: WM and IHC staining images were acquired using a Nikon A1 Confocal Laser Microscope with the software of NIS-Elements Viewer.

    Article Title: Protocol for investigating astrocytic mitochondria in neurons of adult mice using two-photon microscopy.
    Article Snippet: Zhou et al., STAR Protocols 6, Under pathological conditions, astrocytes can transfer mitochondria to neurons, where they exert neuroprotective effects.. In this context, we present a protocol for capturing astrocytic mitochondria in neurons of adult mice using a two-photonmicroscope.. We describe an approach for constructing a mouse model with combined labeling of astrocytic mitochondria and neurons.

    Article Title: FOXC1 and FOXC2 Ablation Causes Abnormal Valvular Endothelial Cell Junctions and Lymphatic Vessel Formation in Myxomatous Mitral Valve Degeneration
    Article Snippet: WM, RNAscope, and immunohistochemistry staining images were acquired using a Nikon A1 Confocal Laser Microscope with the NIS-Elements Viewer software.

    Article Title: Scramblase activity of proteorhodopsin confers physiological advantages to Escherichia coli in the absence of light
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: NIS-Elements Viewer , Nikon , https://www.microscope.healthcare.nikon.com/ja_JP/products/software/nis-elements/viewer.

    Article Title: In vivo CRISPR screening directly targeting testicular cells
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and algorithms 10x Genomics Cell Ranger 6.0.0 Zheng et al.78 https://github.com/10XGenomics/cellranger ApE Davis et al.79 https://jorgensen.biology.utah.edu/wayned/ape/ CRISP-ID v1.1 Dehairs et al.80 http://crispid.gbiomed.kuleuven.be Customized python script for statistical analysis This paper https://github.com/SuzukiLab-icems/ utils_for_Cell_Genomics_2024 Cutadapt v4.1 Martin et al.81 https://github.com/marcelm/cutadapt DAVID Sherman et al.82 https://david.ncifcrf.gov docker-cellranger litd/docker-cellranger https://github.com/litd/docker-cellranger DSIR Vert et al.83 http://biodev.cea.fr/DSIR/DSIR.html FastQC v0.12.1 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/fastqc/ FlowJo BD Life Sciences https://www.flowjo.com goatools v1.2.4 Klopfenstein et al.84 https://github.com/tanghaibao/goatools guide-caller v1.0.0 This paper https://github.com/SuzukiLab-icems/guide-caller HISAT2 v2.2.1 Perțea, M et al.85 http://daehwankimlab.github.io/hisat2/ Hub-Explorer v1.0.0 This paper https://github.com/SuzukiLab-icems/Hub-Explorer Igv v2.16.1 Robinson et al.86 https://software.broadinstitute.org/software/igv/home ImageJ Schneider et al.87 https://imagej.github.io/software/imagej/ MAGeCK v0.5.9.4 Li et al.88 https://sourceforge.net/p/mageck/wiki/Home/ Matplotlib v3.7.0 Hunter.89 https://github.com/matplotlib/matplotlib NIS-Elements Viewer Nikon https://www.microscope.healthcare.nikon.com/ ja_JP/products/software/nis-elements/viewer Numpy v1.21.2 van der Walt et al.90 https://github.com/numpy/numpy Pandas v1.5.3 McKinney.91 https://pandas.pydata.org Primer Blast Ye et al.92 https://www.ncbi.nlm.nih.gov/tools/primer-blast/ Proteome DiscovererTM software v2.5 Thermo Scientific https://www.thermofisher.com Samtools v1.17 Li et al.93 http://www.htslib.org Seaborn v0.12.1 Waskom.94 https://github.com/mwaskom/seaborn Scanpy v1.9.2 Wolf et al.95 https://github.com/scverse/scanpy Scikit-learn v0.0.post1 Pedregosa et al.96 https://github.com/scikit-learn/scikit-learn Scipy v1.8.0 Virtanen et al.97 https://github.com/scipy/scipy lightSra2Count This paper https://github.com/SuzukiLab-icems/ Sra2Count/tree/main/lightSra2Count SRA toolkit v3.0.5 SRA Toolkit https://hpc.nih.gov/apps/sratoolkit.html StringTie v2.2.1 Perțea et al.98 https://github.com/gpertea/stringtie TrimGalore v0.6.10 Babraham Bioinformatics https://www.bioinformatics.babraham. ac.uk/projects/trim_galore/ Technology ll OPEN ACCESS

    Article Title: Biomanufacturing of glioblastoma organoids exhibiting hierarchical and spatially organized tumor microenvironment via transdifferentiation.
    Article Snippet: Funding information National Science Foundation, Grant/Award Number: 2000053; U.S. Department of Education, Grant/Award Number: P200A210069 Abstract Glioblastoma (GBM) is the most aggressive type of brain tumor that originates from glioblastoma stem cells (GSCs).. In the brain, GSCs are supported by a tumor microenvironment (TME) residing in the perivascular niche and the hypoxic niche.. The GBM TME is highly heterogenous and exhibits complex cell‐to‐cell interactions.




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