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Single-cell chromatin accessibility data using scATAC-seq

GSE65360 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing 1632 samples Submitted 2015/06/17 Platform GPL19057Platform GPL15520Platform GPL16791Platform GPL18573
Summary
Cell-to-cell variation is a universal feature of life that impacts a wide range of biological phenomena, from developmental plasticity to tumor heterogeneity. While recent advances have improved our ability to document cellular phenotypic variation the fundamental mechanisms that generate variability from identical DNA sequences remain elusive. Here we reveal the landscape and principles of cellular DNA regulatory variation by developing a robust method for mapping the accessible genome of individual cells via assay of transposase accessible chromatin sequencing (ATAC-seq). Single-cell ATAC-seq (scATAC-seq) maps from hundreds of single-cells in aggregate closely resemble accessibility profiles from tens of millions of cells and provides insights into cell-to-cell variation. Accessibility variance is systematically associated with specific trans-factors and cis-elements, and we discover combinations of trans-factors associated with either induction or suppression of cell-to-cell variability. We further identify sets of trans-factors associated with cell-type specific accessibility variance across 6 cell types. Targeted perturbations of cell cycle or transcription factor signaling evoke stimulus-specific changes in this observed variability. The pattern of accessibility variation in cis across the genome recapitulates chromosome topological domains de novo, linking single-cell accessibility variation to three-dimensional genome organization. All together, single-cell analysis of DNA accessibility provides new insight into cellular variation of the “regulome.”
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Direct links to NCBI, no account and no request form: the whole study as GSE65360_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 1632 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA274006 and SRA study SRP052977. Searching any of these in the dataset finder brings you back here.

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