Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing

Details

• Alternative Title:
  Science
• Personal Author:
  Cusanovich, Darren A. ; Daza, Riza ; Adey, Andrew ; Pliner, Hannah ; Christiansen, Lena ; Gunderson, Kevin L. ; Steemers, Frank J. ; Trapnell, Cole ; Shendure, Jay
• Description:
  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.
• Subjects:
  Chromatin Epigenesis, Genetic HEK293 Cells HL-60 Cells Humans Single-Cell Analysis
• Source:
  Science. 348(6237):910-914
• Pubmed ID:
  25953818
• Pubmed Central ID:
  PMC4836442
• Document Type:
  Journal Article
• Funding:
  DP1 HG007811/HG/NHGRI NIH HHSUnited States/ ; R01 HG006283/HG/NHGRI NIH HHSUnited States/ ; 1DP1HG007811/DP/NCCDPHP CDC HHSUnited States/
• Volume:
  348
• Issue:
  6237
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:e633a06145b85d90feaef58c2790bfdc5b6711ef98c5fb15aed45d88a3ad1d1f
• Download URL:
  https://stacks.cdc.gov/view/cdc/38983/cdc_38983_DS1.pdf
• File Type:
  [PDF - 1.12 MB ]