96-well optical-grade pcr plates Search Results


grade 96 well plates  (Bio-Rad)
96
Bio-Rad grade 96 well plates
Grade 96 Well Plates, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96-well optical-grade tissue culture plates  (Corning Life Sciences)
90
Corning Life Sciences 96-well optical-grade tissue culture plates
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optical grade pcr plates  (Bio-Rad)
94
Bio-Rad optical grade pcr plates
Optical Grade Pcr Plates, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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grade 96 well plates  (Thermo Fisher)
99
Thermo Fisher grade 96 well plates
Grade 96 Well Plates, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microscopy grade 96  (Greiner Bio)
99
Greiner Bio microscopy grade 96
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prism 7700 sequence detection system  (Thermo Fisher)
99
Thermo Fisher prism 7700 sequence detection system
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optical grade glass bottom 96-well plate  (MatTek)
90
MatTek optical grade glass bottom 96-well plate
Optical Grade Glass Bottom 96 Well Plate, supplied by MatTek, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96-well optical grade plate becton dickinson  (Becton Dickinson)
90
Becton Dickinson 96-well optical grade plate becton dickinson
96 Well Optical Grade Plate Becton Dickinson, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microscopy grade greiner bio one  (Greiner Bio)
94
Greiner Bio microscopy grade greiner bio one
Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence <t>microscopy.</t> Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.
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96 well microscopy grade microplate  (Greiner Bio)
96
Greiner Bio 96 well microscopy grade microplate
Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence <t>microscopy.</t> Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.
96 Well Microscopy Grade Microplate, supplied by Greiner Bio, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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optical grade 96 well plates  (Tecan Systems)
96
Tecan Systems optical grade 96 well plates
Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence <t>microscopy.</t> Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.
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optical grade 96-well plates  (PEQLAB)
90
PEQLAB optical grade 96-well plates
Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence <t>microscopy.</t> Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.
Optical Grade 96 Well Plates, supplied by PEQLAB, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence microscopy. Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.

Journal: Cell

Article Title: Global organelle profiling reveals subcellular localization and remodeling at proteome scale.

doi: 10.1016/j.cell.2024.11.028

Figure Lengend Snippet: Figure 4. De-orphaning subcellular localization (A) Strategy to identify and characterize proteins with minimal annotations for subcellular localization in public databases. (B) Representative images for 31 final protein targets, endogenously tagged with split-mNeonGreen in HEK293T and characterized by confocal fluorescence microscopy. Graph-based (blue) and classifier-based (brown) localization annotations are reported. Asterisks denote interfacial proteins. Abbreviations are as follows: ER, endoplasmic reticulum; ERGIC, ER-Golgi intermediate compartment; PM, plasma membrane; TGN, trans-Golgi network. (C) Aggregate results: endogenous tagging supports the annotations of subcellular localization in 94% of cases (29 out of 31 targets). See also Figure S4.

Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER XGBoost v2.0.0 Chen and Guestrin52 https://github.com/dmlc/xgboost/ releases/tag/v2.0.0 Enrichr API Kuleshov et al.116 https://maayanlab.cloud/speedrichr AlignedUMAP v0.5.2 McInnes et al.47 https://github.com/lmcinnes/umap Cytoself Kobayashi et al.71 https://github.com/royerlab/cytoself scikit-optimize v0.9.0 https://zenodo.org/records/5565057 https://github.com/scikit-optimize/ scikit-optimize/releases/tag/v0.9.0 matplotlib v3.5.3 The Matplotlib development team https://matplotlib.org/ seaborn v0.12.2 https://joss.theoj.org/papers/ 10.21105/joss.03021 https://seaborn.pydata.org/ whatsnew/v0.12.2.html plotly v5.11.0 Plotly Technologies Inc https://plotly.com/ networkx v3.3 NetworkX developers https://networkx.org/documentation/ stable/release/release_3.3.html pysankey v1.4.1 https://github.com/Pierre-Sassoulas https://github.com/Pierre-Sassoulas/ pySankey/releases/tag/v1.4.1 python-ternary v1.0.8 https://zenodo.org/records/34938 https://github.com/marcharper/ python-ternary/releases/tag/1.0.8 Upsetplot v0.9.0 Lex et al.117 https://github.com/jnothman/ UpSetPlot/releases/tag/0.9.0 Other 96wp nucleofector instrument Lonza Cat# AAF-1003S Flow cytometry activated cell sorting SONY SH800S 23G blunt 1’’ needle SAI Infusion Technology Cat# B23-100 NormJ-ect-F 1mL syringe Air-Tite Cat# NJ-9166017-02 96w dipping magnet V&P Scientific Cat# VP 407AM-N1 Flat 96wp magnet Thermo Fisher Scientific Cat# AM10027 Confocal fluorescence microscope Andor Dragonfly 63x 1.47NA oil objective Leica N/A EMCCD microscope camera Andor iXon Ultra 888 Cellview glass bottom 96wp, microscopy grade Greiner Bio One Cat# 655891 Orbitrap Mass spectrometer Thermo Fisher Scientific Fusion Lumos C18 reverse phase chromatography columns IonOpticks Cat# AUR2-25075C18A ll OPEN ACCESS Please cite this article in press as: Hein et al., Global organelle profiling reveals subcellular localization and remodeling at proteome scale, Cell (2025), https://doi.org/10.1016/j.cell.2024.11.028

Techniques: Microscopy, Clinical Proteomics, Membrane

Figure 5. Pan-cellular remodeling during HCoV-OC43 infection (A) Strategy for graph-based quantification of subcellular remodeling. A score is quantified for each protein, representing remodeling of local subcellular envi- ronment. See text for details. (B) Distribution of subcellular remodeling scores across the dataset. Interfacial proteins are defined as high-value outliers in the distribution. Boxplot shows 25th/ 50th/75th percentiles; whiskers show 1.53 interquartile range. (C) 2D UMAP of uninfected organelle dataset showing subcellular territories defined by low-resolution Leiden clustering. (D) Aligned uninfected (blue) and infected (salmon) UMAPs showing individual 2D trajectories for infection hits. Black star: original position in uninfected UMAP. See also Video S1. (E) Sankey diagram showing the distribution of infection hits (diagonal lines) across subcellular territories between uninfected and infected conditions. Related to (C) and (D). (F) Proteome remodeling within individual compartments, showing the fraction of infection hits over total number of proteins in each compartment. (G) Live-cell confocal microscopy imaging from endogenously tagged cell lines shows significant remodeling of Golgi, ER, and microtubule network upon OC43 infection. (H) Live-cell confocal microscopy imaging of endogenously tagged COP-I subunits. Fluorescent signals concentrate in a perinuclear region in uninfected cells but are dispersed across the cell upon infection (MOI = 1; 48 hpi). Distance between COP-I fluorescence signal and the nuclear boundary in individual cells is used to quantify dispersion (p value: Student’s t test). Boxplots show 25th, 50th, and 75th percentiles; whiskers show 1.53 interquartile range. See also Figure S5.

Journal: Cell

Article Title: Global organelle profiling reveals subcellular localization and remodeling at proteome scale.

doi: 10.1016/j.cell.2024.11.028

Figure Lengend Snippet: Figure 5. Pan-cellular remodeling during HCoV-OC43 infection (A) Strategy for graph-based quantification of subcellular remodeling. A score is quantified for each protein, representing remodeling of local subcellular envi- ronment. See text for details. (B) Distribution of subcellular remodeling scores across the dataset. Interfacial proteins are defined as high-value outliers in the distribution. Boxplot shows 25th/ 50th/75th percentiles; whiskers show 1.53 interquartile range. (C) 2D UMAP of uninfected organelle dataset showing subcellular territories defined by low-resolution Leiden clustering. (D) Aligned uninfected (blue) and infected (salmon) UMAPs showing individual 2D trajectories for infection hits. Black star: original position in uninfected UMAP. See also Video S1. (E) Sankey diagram showing the distribution of infection hits (diagonal lines) across subcellular territories between uninfected and infected conditions. Related to (C) and (D). (F) Proteome remodeling within individual compartments, showing the fraction of infection hits over total number of proteins in each compartment. (G) Live-cell confocal microscopy imaging from endogenously tagged cell lines shows significant remodeling of Golgi, ER, and microtubule network upon OC43 infection. (H) Live-cell confocal microscopy imaging of endogenously tagged COP-I subunits. Fluorescent signals concentrate in a perinuclear region in uninfected cells but are dispersed across the cell upon infection (MOI = 1; 48 hpi). Distance between COP-I fluorescence signal and the nuclear boundary in individual cells is used to quantify dispersion (p value: Student’s t test). Boxplots show 25th, 50th, and 75th percentiles; whiskers show 1.53 interquartile range. See also Figure S5.

Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER XGBoost v2.0.0 Chen and Guestrin52 https://github.com/dmlc/xgboost/ releases/tag/v2.0.0 Enrichr API Kuleshov et al.116 https://maayanlab.cloud/speedrichr AlignedUMAP v0.5.2 McInnes et al.47 https://github.com/lmcinnes/umap Cytoself Kobayashi et al.71 https://github.com/royerlab/cytoself scikit-optimize v0.9.0 https://zenodo.org/records/5565057 https://github.com/scikit-optimize/ scikit-optimize/releases/tag/v0.9.0 matplotlib v3.5.3 The Matplotlib development team https://matplotlib.org/ seaborn v0.12.2 https://joss.theoj.org/papers/ 10.21105/joss.03021 https://seaborn.pydata.org/ whatsnew/v0.12.2.html plotly v5.11.0 Plotly Technologies Inc https://plotly.com/ networkx v3.3 NetworkX developers https://networkx.org/documentation/ stable/release/release_3.3.html pysankey v1.4.1 https://github.com/Pierre-Sassoulas https://github.com/Pierre-Sassoulas/ pySankey/releases/tag/v1.4.1 python-ternary v1.0.8 https://zenodo.org/records/34938 https://github.com/marcharper/ python-ternary/releases/tag/1.0.8 Upsetplot v0.9.0 Lex et al.117 https://github.com/jnothman/ UpSetPlot/releases/tag/0.9.0 Other 96wp nucleofector instrument Lonza Cat# AAF-1003S Flow cytometry activated cell sorting SONY SH800S 23G blunt 1’’ needle SAI Infusion Technology Cat# B23-100 NormJ-ect-F 1mL syringe Air-Tite Cat# NJ-9166017-02 96w dipping magnet V&P Scientific Cat# VP 407AM-N1 Flat 96wp magnet Thermo Fisher Scientific Cat# AM10027 Confocal fluorescence microscope Andor Dragonfly 63x 1.47NA oil objective Leica N/A EMCCD microscope camera Andor iXon Ultra 888 Cellview glass bottom 96wp, microscopy grade Greiner Bio One Cat# 655891 Orbitrap Mass spectrometer Thermo Fisher Scientific Fusion Lumos C18 reverse phase chromatography columns IonOpticks Cat# AUR2-25075C18A ll OPEN ACCESS Please cite this article in press as: Hein et al., Global organelle profiling reveals subcellular localization and remodeling at proteome scale, Cell (2025), https://doi.org/10.1016/j.cell.2024.11.028

Techniques: Infection, Confocal Microscopy, Imaging, Dispersion