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single cell multiome atac + gene expression kit  (10X Genomics)

 
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    10X Genomics single cell multiome atac + gene expression kit
    Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell <t>Multiome</t> <t>ATAC</t> + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.
    Single Cell Multiome Atac + Gene Expression Kit, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/single cell multiome atac + gene expression kit/product/10X Genomics
    Average 90 stars, based on 1 article reviews
    single cell multiome atac + gene expression kit - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Analysis of changes in intercellular communications in Alzheimer’s disease reveals conserved changes in glutamatergic transmission in mice and humans"

    Article Title: Analysis of changes in intercellular communications in Alzheimer’s disease reveals conserved changes in glutamatergic transmission in mice and humans

    Journal: Scientific Reports

    doi: 10.1038/s41598-025-10795-4

    Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.
    Figure Legend Snippet: Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.

    Techniques Used: Sequencing, Control, Isolation, Gene Expression, Expressing, Marker

    Multiomics approach reveals links between glutamatergic signaling via Grm1 and trophic signaling via BMPs. ( A–C ) Coverage plots of mouse ATAC-seq data with peaks highlighted according to in which genotype linkages were detected using DIRECT-NET. Blue indicates linkage to the gene of interest in control mice only. Red indicates linkage to the gene of interest in 5xFAD mice only. Purple indicates linkage to the gene of interest in both genotypes. Only high confidence (HC) links are plotted. ( A ) Coverage plot of Gria4 and the surrounding genomic area with links to the Gria4 transcriptional start site (TSS). A violin plot of Gria4 RNA expression is shown to the right. Links detected are either in non-coding regions of the genome, or to other parts of the Gria4 gene. ( B ) Coverage plot of Grin2b and surrounding genomic area with links to the Grin2b TSS. Links are detected within non-coding regions of the genome, the Grin2b gene itself, and Gm8994. ( C ) Coverage plot of Grm1 and surrounding genomic area with links to the Grm1 TSS. Links are detected within non-coding regions of the genome, the Grm1 gene itself, and genes Shprh and Fbxo30 . ( D ) Gene regulatory network (GRN) resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 2 months of age. Only HC links were utilized to detect transcription factors interacting with genes. Transcription factors are plotted in light blue, and whether transcription factors are proximal or distal to genes on which they act is shown via color: proximal in purple, and distal in orange. ( E–G ) GO analysis of genes in the GRN obtained in Fig. 5D for biological processes (E), cellular component (F), and molecular function (G). Only significantly enriched terms are shown. ( H ) GRN resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 8 months of age. This is the equivalent to ( D ), but for mice at 8 months of age. Notably, due to larger differences in chromatin accessibility, there are many more genes detected in the network at 8 months of age in mice compared to 2 months of age. ( I–K ) GO analysis of genes in the GRN obtained in Fig. 5H for biological processes (I), cellular component (J), and molecular function (K). Only significantly enriched terms are shown.
    Figure Legend Snippet: Multiomics approach reveals links between glutamatergic signaling via Grm1 and trophic signaling via BMPs. ( A–C ) Coverage plots of mouse ATAC-seq data with peaks highlighted according to in which genotype linkages were detected using DIRECT-NET. Blue indicates linkage to the gene of interest in control mice only. Red indicates linkage to the gene of interest in 5xFAD mice only. Purple indicates linkage to the gene of interest in both genotypes. Only high confidence (HC) links are plotted. ( A ) Coverage plot of Gria4 and the surrounding genomic area with links to the Gria4 transcriptional start site (TSS). A violin plot of Gria4 RNA expression is shown to the right. Links detected are either in non-coding regions of the genome, or to other parts of the Gria4 gene. ( B ) Coverage plot of Grin2b and surrounding genomic area with links to the Grin2b TSS. Links are detected within non-coding regions of the genome, the Grin2b gene itself, and Gm8994. ( C ) Coverage plot of Grm1 and surrounding genomic area with links to the Grm1 TSS. Links are detected within non-coding regions of the genome, the Grm1 gene itself, and genes Shprh and Fbxo30 . ( D ) Gene regulatory network (GRN) resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 2 months of age. Only HC links were utilized to detect transcription factors interacting with genes. Transcription factors are plotted in light blue, and whether transcription factors are proximal or distal to genes on which they act is shown via color: proximal in purple, and distal in orange. ( E–G ) GO analysis of genes in the GRN obtained in Fig. 5D for biological processes (E), cellular component (F), and molecular function (G). Only significantly enriched terms are shown. ( H ) GRN resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 8 months of age. This is the equivalent to ( D ), but for mice at 8 months of age. Notably, due to larger differences in chromatin accessibility, there are many more genes detected in the network at 8 months of age in mice compared to 2 months of age. ( I–K ) GO analysis of genes in the GRN obtained in Fig. 5H for biological processes (I), cellular component (J), and molecular function (K). Only significantly enriched terms are shown.

    Techniques Used: Control, RNA Expression



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    Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell <t>Multiome</t> <t>ATAC</t> + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.
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    10X Genomics chromium next gem single cell multiome atac + gene expression kit
    Cytokine and chemokine Expression, cell functionality markers, transcription factor predictions, and comparative analysis in AA. (A, B) Heatmaps of cytokine and chemokine expression across cell types. (C) Heatmaps of functional signatures: senescence, exhaustion, activation, cytotoxicity. (D) Word cloud of top transcription factors (TFs) from <t>ATAC-seq</t> data. (E) Dot plots showing top predicted TFs per cell type (NK, CD8+, monocytes). (F) Bar plot of pathway overlap among DEGs. (G) Flow cytometry validation of immune subsets. Statistical analysis is denoted by asterisks: ***p < 0.001, **p < 0.01, *p < 0.05.
    Chromium Next Gem Single Cell Multiome Atac + Gene Expression Kit, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/chromium next gem single cell multiome atac + gene expression kit/product/10X Genomics
    Average 90 stars, based on 1 article reviews
    chromium next gem single cell multiome atac + gene expression kit - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

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    10X Genomics 10x chromium single cell multiome atac + gene expression kit
    Cytokine and chemokine Expression, cell functionality markers, transcription factor predictions, and comparative analysis in AA. (A, B) Heatmaps of cytokine and chemokine expression across cell types. (C) Heatmaps of functional signatures: senescence, exhaustion, activation, cytotoxicity. (D) Word cloud of top transcription factors (TFs) from <t>ATAC-seq</t> data. (E) Dot plots showing top predicted TFs per cell type (NK, CD8+, monocytes). (F) Bar plot of pathway overlap among DEGs. (G) Flow cytometry validation of immune subsets. Statistical analysis is denoted by asterisks: ***p < 0.001, **p < 0.01, *p < 0.05.
    10x Chromium Single Cell Multiome Atac + Gene Expression Kit, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/10x chromium single cell multiome atac + gene expression kit/product/10X Genomics
    Average 90 stars, based on 1 article reviews
    10x chromium single cell multiome atac + gene expression kit - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    10X Genomics chromiumnext gem single nuclei multiome atac +gene expression library & gel bead kit
    Cytokine and chemokine Expression, cell functionality markers, transcription factor predictions, and comparative analysis in AA. (A, B) Heatmaps of cytokine and chemokine expression across cell types. (C) Heatmaps of functional signatures: senescence, exhaustion, activation, cytotoxicity. (D) Word cloud of top transcription factors (TFs) from <t>ATAC-seq</t> data. (E) Dot plots showing top predicted TFs per cell type (NK, CD8+, monocytes). (F) Bar plot of pathway overlap among DEGs. (G) Flow cytometry validation of immune subsets. Statistical analysis is denoted by asterisks: ***p < 0.001, **p < 0.01, *p < 0.05.
    Chromiumnext Gem Single Nuclei Multiome Atac +Gene Expression Library & Gel Bead Kit, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/chromiumnext gem single nuclei multiome atac +gene expression library & gel bead kit/product/10X Genomics
    Average 90 stars, based on 1 article reviews
    chromiumnext gem single nuclei multiome atac +gene expression library & gel bead kit - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    Image Search Results


    Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.

    Journal: Scientific Reports

    Article Title: Analysis of changes in intercellular communications in Alzheimer’s disease reveals conserved changes in glutamatergic transmission in mice and humans

    doi: 10.1038/s41598-025-10795-4

    Figure Lengend Snippet: Characterization of single cell sequencing data from mouse and human postmortem brain samples. ( A ) Diagram of the experimental workflow for snRNA-seq and snATAC-seq performed on the same nuclei. The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations. Cell type clusters are colored accordingly for ( B , G ): glutamatergic neurons in blue, GABAergic neurons in green, OPCs in pink, oligodendrocytes in purple, microglia in red, astrocytes in orange, and endothelial cells in yellow. ( C ) Dotplot showing expression of known marker genes based on previously published work in each detected cell type in the mouse snRNA-seq portion of the multiome data. The size of the dots corresponds to the proportion of cells in which a gene was expressed, and color represents average normalized expression within that cell type. ( D–F ) Coverage plots showing known marker gene accessibility as captured by the snATAC-seq portion of the multiome data. Coverage plots show density of reads within the genome, with a peak on the coverage plot indicating many reads in that portion of the genome, meaning chromatin was open in that region, while a flat line indicates no reads and potential chromatin inaccessibility. Chromatin accessibility was reflective of gene expression (i.e., the area near the transcription start site is more open in genes that are more highly expressed in defined cell types). Shown are coverage plots for Slc17a7 ( D ), a marker for glutamatergic neurons; Mog ( E ), a marker for oligodendrocytes; and C1qb ( F ), a marker for microglia. ( G ) UMAP of merged, re-processed, and annotated snRNA-seq data from postmortem tissue samples obtained from AD, MCI, and non-cognitively impaired human brains, with cell types annotated and colored in the same way as equivalent cell types detected in the corresponding mouse model. This is a combination of previously published datasets (AD and controls) , and newly sequenced tissue (from an individual with MCI). ( H ) Dotplot showing expression of known marker genes, homologous to those used in annotation of mouse data, in the annotated human snRNA-seq data.

    Article Snippet: The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations.

    Techniques: Sequencing, Control, Isolation, Gene Expression, Expressing, Marker

    Multiomics approach reveals links between glutamatergic signaling via Grm1 and trophic signaling via BMPs. ( A–C ) Coverage plots of mouse ATAC-seq data with peaks highlighted according to in which genotype linkages were detected using DIRECT-NET. Blue indicates linkage to the gene of interest in control mice only. Red indicates linkage to the gene of interest in 5xFAD mice only. Purple indicates linkage to the gene of interest in both genotypes. Only high confidence (HC) links are plotted. ( A ) Coverage plot of Gria4 and the surrounding genomic area with links to the Gria4 transcriptional start site (TSS). A violin plot of Gria4 RNA expression is shown to the right. Links detected are either in non-coding regions of the genome, or to other parts of the Gria4 gene. ( B ) Coverage plot of Grin2b and surrounding genomic area with links to the Grin2b TSS. Links are detected within non-coding regions of the genome, the Grin2b gene itself, and Gm8994. ( C ) Coverage plot of Grm1 and surrounding genomic area with links to the Grm1 TSS. Links are detected within non-coding regions of the genome, the Grm1 gene itself, and genes Shprh and Fbxo30 . ( D ) Gene regulatory network (GRN) resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 2 months of age. Only HC links were utilized to detect transcription factors interacting with genes. Transcription factors are plotted in light blue, and whether transcription factors are proximal or distal to genes on which they act is shown via color: proximal in purple, and distal in orange. ( E–G ) GO analysis of genes in the GRN obtained in Fig. 5D for biological processes (E), cellular component (F), and molecular function (G). Only significantly enriched terms are shown. ( H ) GRN resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 8 months of age. This is the equivalent to ( D ), but for mice at 8 months of age. Notably, due to larger differences in chromatin accessibility, there are many more genes detected in the network at 8 months of age in mice compared to 2 months of age. ( I–K ) GO analysis of genes in the GRN obtained in Fig. 5H for biological processes (I), cellular component (J), and molecular function (K). Only significantly enriched terms are shown.

    Journal: Scientific Reports

    Article Title: Analysis of changes in intercellular communications in Alzheimer’s disease reveals conserved changes in glutamatergic transmission in mice and humans

    doi: 10.1038/s41598-025-10795-4

    Figure Lengend Snippet: Multiomics approach reveals links between glutamatergic signaling via Grm1 and trophic signaling via BMPs. ( A–C ) Coverage plots of mouse ATAC-seq data with peaks highlighted according to in which genotype linkages were detected using DIRECT-NET. Blue indicates linkage to the gene of interest in control mice only. Red indicates linkage to the gene of interest in 5xFAD mice only. Purple indicates linkage to the gene of interest in both genotypes. Only high confidence (HC) links are plotted. ( A ) Coverage plot of Gria4 and the surrounding genomic area with links to the Gria4 transcriptional start site (TSS). A violin plot of Gria4 RNA expression is shown to the right. Links detected are either in non-coding regions of the genome, or to other parts of the Gria4 gene. ( B ) Coverage plot of Grin2b and surrounding genomic area with links to the Grin2b TSS. Links are detected within non-coding regions of the genome, the Grin2b gene itself, and Gm8994. ( C ) Coverage plot of Grm1 and surrounding genomic area with links to the Grm1 TSS. Links are detected within non-coding regions of the genome, the Grm1 gene itself, and genes Shprh and Fbxo30 . ( D ) Gene regulatory network (GRN) resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 2 months of age. Only HC links were utilized to detect transcription factors interacting with genes. Transcription factors are plotted in light blue, and whether transcription factors are proximal or distal to genes on which they act is shown via color: proximal in purple, and distal in orange. ( E–G ) GO analysis of genes in the GRN obtained in Fig. 5D for biological processes (E), cellular component (F), and molecular function (G). Only significantly enriched terms are shown. ( H ) GRN resulting from DIRECT-NET analysis of genes upregulated in 5xFAD mice at 8 months of age. This is the equivalent to ( D ), but for mice at 8 months of age. Notably, due to larger differences in chromatin accessibility, there are many more genes detected in the network at 8 months of age in mice compared to 2 months of age. ( I–K ) GO analysis of genes in the GRN obtained in Fig. 5H for biological processes (I), cellular component (J), and molecular function (K). Only significantly enriched terms are shown.

    Article Snippet: The ENT of mice aged 2 months and 8 months, both 5xFAD and control ( n = 2 per age and genotype), was dissected, nuclei were isolated, and sequencing performed using the Single Cell Multiome ATAC + Gene Expression kit from 10x Genomics. ( B ) All single-nucleus sequencing data for mice aged 2 months and 8 months, both 5xFAD and control, represented in 2D UMAP (WNN) with general cell type annotations.

    Techniques: Control, RNA Expression

    Cytokine and chemokine Expression, cell functionality markers, transcription factor predictions, and comparative analysis in AA. (A, B) Heatmaps of cytokine and chemokine expression across cell types. (C) Heatmaps of functional signatures: senescence, exhaustion, activation, cytotoxicity. (D) Word cloud of top transcription factors (TFs) from ATAC-seq data. (E) Dot plots showing top predicted TFs per cell type (NK, CD8+, monocytes). (F) Bar plot of pathway overlap among DEGs. (G) Flow cytometry validation of immune subsets. Statistical analysis is denoted by asterisks: ***p < 0.001, **p < 0.01, *p < 0.05.

    Journal: Frontiers in Immunology

    Article Title: Integrated single-cell chromatin and transcriptomic analyses of peripheral immune cells in patients with alopecia areata

    doi: 10.3389/fimmu.2025.1565241

    Figure Lengend Snippet: Cytokine and chemokine Expression, cell functionality markers, transcription factor predictions, and comparative analysis in AA. (A, B) Heatmaps of cytokine and chemokine expression across cell types. (C) Heatmaps of functional signatures: senescence, exhaustion, activation, cytotoxicity. (D) Word cloud of top transcription factors (TFs) from ATAC-seq data. (E) Dot plots showing top predicted TFs per cell type (NK, CD8+, monocytes). (F) Bar plot of pathway overlap among DEGs. (G) Flow cytometry validation of immune subsets. Statistical analysis is denoted by asterisks: ***p < 0.001, **p < 0.01, *p < 0.05.

    Article Snippet: Finally, single-cell chromatin accessibility and gene expression profiling was performed using the Chromium Next GEM Single Cell Multiome ATAC + Gene Expression Kit (10x Genomics, USA), in accordance with the manufacturer’s protocol.

    Techniques: Expressing, Functional Assay, Activation Assay, Flow Cytometry, Biomarker Discovery