| Literature DB >> 25953818 |
Darren A Cusanovich1, Riza Daza1, Andrew Adey2, Hannah A Pliner1, Lena Christiansen3, Kevin L Gunderson3, Frank J Steemers3, Cole Trapnell1, Jay Shendure4.
Abstract
Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated before biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from more than 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas.Entities:
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Year: 2015 PMID: 25953818 PMCID: PMC4836442 DOI: 10.1126/science.aab1601
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728