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scatac seq data  (Omics Data Automation)

 
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    Omics Data Automation 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
    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
    https://www.bioz.com/product/scatac+seq+data/data+scatac+seq/pmc13169808-49-33-14
    Average 86 stars, based on 1 article reviews
    scatac seq data - by Bioz Stars, 2026-09
    86/100 stars

    Images

    1) Product Images from "mTOR inhibition promotes ATRA-induced cancer cell differentiation by overcoming a metabolic hyperactive state"

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

    Journal: Journal of Translational Medicine

    doi: 10.1186/s12967-026-08218-7

    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
    Figure Legend 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

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



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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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    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