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cell rna seq dataset  (Broad Clinical Labs)


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    Broad Clinical Labs cell rna seq dataset
    Cell Rna Seq Dataset, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 781 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/single+cell+rna+seq+datasets/RNA+Sequencing/pm42120390-512-1-13
    Average 96 stars, based on 781 article reviews
    cell rna seq dataset - by Bioz Stars, 2026-10
    96/100 stars

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    Single Cell:

    Article Title: Cucurbitacin I Reverses Tumor-Associated Macrophage Polarization to Affect Cancer Cell Metastasis.
    Article Snippet: .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer singlecell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162). ..

    Article Title: Single-cell analysis reveals essential lncRNAs regulating human trophoblast lineage differentiation
    Article Snippet: .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601). .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601).

    Article Title: Cucurbitacin I Reverses Tumor-Associated Macrophage Polarization to Affect Cancer Cell Metastasis
    Article Snippet: .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer single-cell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162). .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer single-cell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162).

    Article Title: JAK inhibitors alleviate EGFR-inhibitor-induced diarrhea by protecting intestinal stem cells from adaptive-immune-exacerbated injury.
    Article Snippet: .. Single-cell RNA-seq datasets are available through the Broad Institute Single Cell Portal under accession numbers SCP2760 (RNA-seq). ..

    RNA Sequencing:

    Article Title: Cucurbitacin I Reverses Tumor-Associated Macrophage Polarization to Affect Cancer Cell Metastasis.
    Article Snippet: .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer singlecell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162). ..

    Article Title: Single-cell analysis reveals essential lncRNAs regulating human trophoblast lineage differentiation
    Article Snippet: .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601). .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601).

    Article Title: Cucurbitacin I Reverses Tumor-Associated Macrophage Polarization to Affect Cancer Cell Metastasis
    Article Snippet: .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer single-cell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162). .. Single-cell RNA-seq datasets for breast cancer were obtained from the Broad Institute Single Cell Portal (SCP1039), whereas colon cancer single-cell RNA-seq data were acquired from the Broad Institute Single Cell Portal (SCP1162).

    Article Title: JAK inhibitors alleviate EGFR-inhibitor-induced diarrhea by protecting intestinal stem cells from adaptive-immune-exacerbated injury.
    Article Snippet: .. Single-cell RNA-seq datasets are available through the Broad Institute Single Cell Portal under accession numbers SCP2760 (RNA-seq). ..

    Biomarker Discovery:

    Article Title: Single-cell analysis reveals essential lncRNAs regulating human trophoblast lineage differentiation
    Article Snippet: .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601). .. For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601).



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    Image Search Results


    Single-cell transcriptomic analysis of liver fibrosis. (A) Quality control metrics before cell filtering, including the distribution of gene counts (nFeature_RNA), UMI counts (nCount_RNA), and the percentages of mitochondrial and hemoglobin genes across samples. (B) Cell clustering of liver fibrosis samples. (C) Cell-type annotation of single-cell RNA-seq data. (D) Cell cycle analysis of single-cell transcriptomic data. (E) Proportional changes of different cell types between normal and fibrotic groups. (F) Expression distribution of Acot9, Aldh1b1, and Pck2 across different cell types.

    Journal: Frontiers in Immunology

    Article Title: Identification of mitochondria-related biomarkers in liver fibrosis via interpretable machine learning and WGCNA: transcriptomic analysis and In Vivo validation

    doi: 10.3389/fimmu.2026.1705706

    Figure Lengend Snippet: Single-cell transcriptomic analysis of liver fibrosis. (A) Quality control metrics before cell filtering, including the distribution of gene counts (nFeature_RNA), UMI counts (nCount_RNA), and the percentages of mitochondrial and hemoglobin genes across samples. (B) Cell clustering of liver fibrosis samples. (C) Cell-type annotation of single-cell RNA-seq data. (D) Cell cycle analysis of single-cell transcriptomic data. (E) Proportional changes of different cell types between normal and fibrotic groups. (F) Expression distribution of Acot9, Aldh1b1, and Pck2 across different cell types.

    Article Snippet: Single-cell RNA sequencing (scRNA-seq) datasets were obtained from GSE145086 and GSE233084 , both generated using the 10X Genomics platform ( , ).

    Techniques: Single Cell, Control, RNA Sequencing, Cell Cycle Assay, Expressing