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single-cell transcriptomic data  (Broad Institute Inc)

 
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    Broad Institute Inc single-cell transcriptomic data
    Single Cell Transcriptomic Data, supplied by Broad Institute Inc, 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/product/single+cell+transcriptome+databases/single+cell+transcriptomic+data/pmc09940690-323-14-30
    Average 90 stars, based on 1 article reviews
    single-cell transcriptomic data - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity
    Article Snippet: To understand the NPNT expression pattern in the lungs of SARS-CoV-2-infected individuals, we obtained single-cell transcriptomic data of SARS-CoV-2-infected lungs by Delorey et al. from the Single-Cell Portal of the Broad Institute ( https://singlecell.broadinstitute.org/single_cell/ ) (accession ID SCP1052 ).

    Article Title: Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity.
    Article Snippet: To understand the NPNT expression pattern in the lungs of SARS-CoV-2-infected individuals, we obtained single-cell transcriptomic data of SARS-CoV-2-infected lungs by Delorey et al.47 from the Single-Cell Portal of the Broad Institute (https://singlecell.broadinstitute.org/ single_cell/) (accession ID SCP1052).



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    Expression of genes associated with SARS-CoV-2 entry in single-cell <t>transcriptome</t> sequencing database. a UMAP visualization displaying major cell clusters (22,268 single cells). b Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing a cell type, and color intensity binned count-based expression level amongst expressing cells. c UMAP projection, points colored by detection of ACE2 (left), TMPRSS2 (middle), and SLC6A19 (right). Blue, RNA positive; gray, RNA negative. d Volcano plot displaying differential expression of genes between ACE2+ and ACE2– PT cells. Red, up-regulated genes; blue, down-regulated genes. e Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells.
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    Expression of genes associated with SARS-CoV-2 entry in single-cell transcriptome sequencing database. a UMAP visualization displaying major cell clusters (22,268 single cells). b Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing a cell type, and color intensity binned count-based expression level amongst expressing cells. c UMAP projection, points colored by detection of ACE2 (left), TMPRSS2 (middle), and SLC6A19 (right). Blue, RNA positive; gray, RNA negative. d Volcano plot displaying differential expression of genes between ACE2+ and ACE2– PT cells. Red, up-regulated genes; blue, down-regulated genes. e Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells.

    Journal: Kidney Diseases

    Article Title: Localization of Cell Receptor-Related Genes of SARS-CoV-2 in the Kidney through Single-Cell Transcriptome Analysis

    doi: 10.1159/000508162

    Figure Lengend Snippet: Expression of genes associated with SARS-CoV-2 entry in single-cell transcriptome sequencing database. a UMAP visualization displaying major cell clusters (22,268 single cells). b Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing a cell type, and color intensity binned count-based expression level amongst expressing cells. c UMAP projection, points colored by detection of ACE2 (left), TMPRSS2 (middle), and SLC6A19 (right). Blue, RNA positive; gray, RNA negative. d Volcano plot displaying differential expression of genes between ACE2+ and ACE2– PT cells. Red, up-regulated genes; blue, down-regulated genes. e Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells.

    Article Snippet: In the latest human kidney single-cell transcriptome database (scRNA-seq) from the Broad Institute and the University of Michigan [ ], we found significant expression of ACE2 in PT cells, glomerular parietal epithelial cells, and descending thin limb cells (Fig. ; online suppl.

    Techniques: Expressing, Sequencing, Marker, Quantitative Proteomics

    Expression of genes associated with SARS-CoV-2 entry in single-nuclear transcriptome. a Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing each cell type, and color intensity binned count-based expression level amongst expressing cells. b Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells. c Violin plot showing ACE2, SLC6A19, and TMPRSS2 expression distribution among different cell clusters.

    Journal: Kidney Diseases

    Article Title: Localization of Cell Receptor-Related Genes of SARS-CoV-2 in the Kidney through Single-Cell Transcriptome Analysis

    doi: 10.1159/000508162

    Figure Lengend Snippet: Expression of genes associated with SARS-CoV-2 entry in single-nuclear transcriptome. a Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing each cell type, and color intensity binned count-based expression level amongst expressing cells. b Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells. c Violin plot showing ACE2, SLC6A19, and TMPRSS2 expression distribution among different cell clusters.

    Article Snippet: In the latest human kidney single-cell transcriptome database (scRNA-seq) from the Broad Institute and the University of Michigan [ ], we found significant expression of ACE2 in PT cells, glomerular parietal epithelial cells, and descending thin limb cells (Fig. ; online suppl.

    Techniques: Expressing, Marker, Quantitative Proteomics

    Expression of genes associated with SARS-CoV-2 entry in a single-cell transcriptome sequencing database of Asians. a Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing each cell type, and color intensity binned count-based expression level amongst expressing cells. b Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells.

    Journal: Kidney Diseases

    Article Title: Localization of Cell Receptor-Related Genes of SARS-CoV-2 in the Kidney through Single-Cell Transcriptome Analysis

    doi: 10.1159/000508162

    Figure Lengend Snippet: Expression of genes associated with SARS-CoV-2 entry in a single-cell transcriptome sequencing database of Asians. a Dot plot of LRP2 and CUBN (marker genes of PT cells), ACE2, TMPRSS2, and SLC6A19; dot size represents the fraction of cells expressing each cell type, and color intensity binned count-based expression level amongst expressing cells. b Bar plot presenting significantly enriched GO terms obtained from GO enrichment analysis performed with differential expression of genes between ACE2+ and ACE2– PT cells.

    Article Snippet: In the latest human kidney single-cell transcriptome database (scRNA-seq) from the Broad Institute and the University of Michigan [ ], we found significant expression of ACE2 in PT cells, glomerular parietal epithelial cells, and descending thin limb cells (Fig. ; online suppl.

    Techniques: Expressing, Sequencing, Marker, Quantitative Proteomics