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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
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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