Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing

  • Gordon Robertson
  • , Martin Hirst
  • , Matthew Bainbridge
  • , Misha Bilenky
  • , Yongjun Zhao
  • , Thomas Zeng
  • , Ghia Euskirchen
  • , Bridget Bernier
  • , Richard Varhol
  • , Allen Delaney
  • , Nina Thiessen
  • , Obi L. Griffith
  • , Ann He
  • , Marco Marra
  • , Michael Snyder
  • , Steven Jones

Research output: Contribution to journalArticlepeer-review

1164 Scopus citations

Abstract

We developed a method, ChIP-sequencing (ChIP-seq), combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing to identify mammalian DNA sequences bound by transcription factors in vivo. We used ChIP-seq to map STAT1 targets in interferon-γ (IFN-γ)-stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes. By ChIP-seq, using 15.1 and 12.9 million uniquely mapped sequence reads, and an estimated false discovery rate of less than 0.001, we identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively. Of the 34 loci known to contain STAT1 interferon-responsive binding sites, ChIP-seq found 24 (71%). ChIP-seq targets were enriched in sequences similar to known STAT1 binding motifs. Comparisons with two ChIP-PCR data sets suggested that ChIP-seq sensitivity was between 70% and 92% and specificity was at least 95%.

Original languageEnglish
Pages (from-to)651-657
Number of pages7
JournalNature Methods
Volume4
Issue number8
DOIs
StatePublished - Aug 2007

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