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Series GSE65360 Query DataSets for GSE65360
Status Public on Jun 17, 2015
Title Single-cell chromatin accessibility data using scATAC-seq
Organisms Homo sapiens; Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
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.”
 
Overall design Profiles of single cell epigenomes, assayed using scATAC-seq, across 8 cell types and 4 targeted cell manipulations. The complete data set contains a total of 1,632 assayed wells.
 
Contributor(s) Buenrostro J
Citation(s) 26083756
Submission date Jan 27, 2015
Last update date Oct 17, 2019
Contact name Jason Daniel Buenrostro
E-mail(s) jdbuenrostro@gmail.com
Organization name Broad Institute
Street address 415 Main Street
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (4)
GPL15520 Illumina MiSeq (Homo sapiens)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (1632)
GSM1596255 singles-H1ESC-well-1
GSM1596256 singles-H1ESC-well-2
GSM1596257 singles-H1ESC-well-3
Relations
BioProject PRJNA274006
SRA SRP052977

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE65360_single-BJ.peaks.bed.gz 405.2 Kb (ftp)(http) BED
GSE65360_single-EML.peaks.bed.gz 399.5 Kb (ftp)(http) BED
GSE65360_single-GM12878.peaks.bed.gz 405.2 Kb (ftp)(http) BED
GSE65360_single-H1ESC.peaks.bed.gz 405.9 Kb (ftp)(http) BED
GSE65360_single-HL60.peaks.bed.gz 399.9 Kb (ftp)(http) BED
GSE65360_single-K562.peaks.bed.gz 399.4 Kb (ftp)(http) BED
GSE65360_single-TF1.peaks.bed.gz 402.3 Kb (ftp)(http) BED
GSE65360_single-mESC.peaks.bed.gz 403.9 Kb (ftp)(http) BED
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Processed data are available on Series record

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