4.8 Article

Robust enumeration of cell subsets from tissue expression profiles

Journal

NATURE METHODS
Volume 12, Issue 5, Pages 453-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3337

Keywords

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Funding

  1. Doris Duke Charitable Foundation
  2. Damon Runyon Cancer Research Foundation
  3. B&J Cardan Oncology Research Fund
  4. Ludwig Institute for Cancer Research
  5. US National Institutes of Health (NIH) [U01 CA154969]
  6. NIH [U19 AI090019, PHS NRSA 5T32 CA09302-35]
  7. US Department of Defense [W81XWH-12-1-0498]
  8. Siebel Stem Cell Institute
  9. Thomas and Stacey Siebel Foundation

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We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu/).

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