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scatac seq data  (10X Genomics)

 
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    10X Genomics scatac seq data
    Scatac Seq Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/scatac+seq+data/data+scrna+seq/pmc13192178-345-3-56
    Average 86 stars, based on 1 article reviews
    scatac seq data - by Bioz Stars, 2026-11
    86/100 stars

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    Related Articles

    other:

    Article Title: DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
    Article Snippet: The ST data of the mouse brain anterior dataset is obtained from the 10x Genomics dataset2 (https://www.10xgenomics.com/resources/datasets), and the corresponding scRNA-seq data is acquired from the whole cortex and hippocampus of the mouse (https://portal.brain-map.org/atlases-and-data/rnaseq/mouse-whole-cortex-andhippocampus-10x).

    Article Title: A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.
    Article Snippet: The raw scRNA-seq data was downloaded from https://support.10xgenomics.com/single-cellgene-expression/datasets/3.0.0/pbmc_10k_v3, and the pre-processed scRNA-seq Seurat object was downloaded from https://signac-objects.s3.amazonaws.com/pbmc_10k_v3.rds.

    Article Title: Unleashing the potential role of tumor-associated NK cells as a novel immunotherapeutic target in triple-negative breast cancer.
    Article Snippet: The 10X Genomics scRNA-seq data of TNBC tumor samples were organized and downloaded in GEO, including GSE143423, GSE176078, GSE148673 and GSE161529.

    Article Title: A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells
    Article Snippet: Firstly, scRNA-seq data from 10X Genomics were aligned to the GRCh38 reference genome using the count application (Cell Ranger v6.0.2) with default parameters.

    Article Title: Cultured ex vivo human brain tissue maintains cell-type transcriptional identities
    Article Snippet: The 10X Genomics scRNA-seq data were processed using Cell Ranger Count v9.0.1 with the GRCh38.p13 genome.

    Control:

    Article Title: Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.
    Article Snippet: In addition, other 15 healthy controls were sourced from the GEO database (http:// www. ncbi. nlm. nih. gov/ geo) and the 10X Genomics data platform, all of whom were over 18 years of age (Table S1). .. The healthy control peripheral blood scRNA-seq data were obtained from GSE139324 (n = 6) [25], GSE149689 (n = 4) [26], and the 10X Genomics platform (n = 5). ..

    Gene Expression:

    Article Title: Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.
    Article Snippet: .. Other public data sources are as follows: The publicly available scRNA-seq data of normal donors’ samples can be available in the Gene Expression Omnibus (GEO) under accession number GSE139324, GSE149689 and 10X Genomics. ..

    Article Title: Benchmarking component choices for unpaired single cell RNA and epigenomic integration
    Article Snippet: .. The scRNA-seq and scATAC-seq data from human peripheral blood mononuclear cells (PBMC) [ ], human brain [ ], fresh embryonic E18 mouse brain [ ], and mouse kidney cancer [ ], human kidney cancer [ ], human small intestine [ ] were obtained from the 10 × Genomics Multiome ATAC + Gene Expression dataset portal. ( https://support.10xgenomics.com/single-cell-multiome-atac-gex/datasets ). ..



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    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
    Scatac Seq Data, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    scatac seq data  (10X Genomics)
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    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
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    real scatac seq data  (10X Genomics)
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    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
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    scatac seq data share seq  (Human Protein Atlas)
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    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
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    pbmcs scatac-seq data  (10X Genomics)
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    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
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    pbmcs 5k scatac-seq data  (10X Genomics)
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    10X Genomics pbmcs 5k scatac-seq data
    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization <t>of</t> <t>scATAC-seq</t> data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq
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    Image Search Results


    Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization of scATAC-seq data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq

    Journal: Journal of Translational Medicine

    Article Title: mTOR inhibition promotes ATRA-induced cancer cell differentiation by overcoming a metabolic hyperactive state

    doi: 10.1186/s12967-026-08218-7

    Figure Lengend Snippet: Single-cell multiomic characterization of a differentiation-stalled state in ATRA-treated HL-60 cells. A . UMAP visualization of scATAC-seq data from HL-60 cells treated with ATRA for 0, 1, 3, or 6 days, colored by three identified clusters. C1 represents naïve cells; C2 and C3 represent ATRA-induced cell clusters. B . Heatmap showing the relative proportion of cells from each treatment time point within clusters C1–C3. C . Bar plot showing predicted lineage identity of each cluster, as determined by projection onto a reference atlas of normal human hematopoiesis. Each color represents a distinct hematopoietic lineage. D . Heatmap of scores of peak-to-gene (P2G) linkages derived from the integrated scATAC-seq and scRNA-seq data across the three clusters. E . GO enrichment analysis of featured P2G-linked genes. F . Feature plots from integrated scATAC-seq and scRNA-seq data. Top panels show gene activity from scATAC-seq; bottom panels show matched gene expression from scRNA-seq

    Article Snippet: Integration of scATAC-seq with scRNA-seq data (HL-60 cells under ATRA time course, from National Omics Data Encyclopedia, project ID OEP00001921) was performed using a constrained integration strategy in ArchR, in both scRNA-seq and scATAC-seq data, clusters corresponding to the time of collection (i.e., ATRA_day0, ATRA_day1, ATRA_day3, or ATRA_day6) were specified.

    Techniques: Single Cell, Derivative Assay, Activity Assay, Gene Expression