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

Nature MethodsPublished 11 June 2007
Gordon Robertson, Martin Hirst, Matthew N. Bainbridge, Misha Bilenky, Yongjun Zhao, Thomas Zeng
Citations1,491
SJR quartileQ1
SJR score17.25
SNIP8.40

TL;DR

ChIP-seq identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively, and found 24 loci known to contain STAT1 interferon-responsive binding sites, including 24 that were enriched in sequences similar to known STAT1 binding motifs.

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-gamma (IFN-gamma)-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%.

Keywords

Biochemistry, Genetics and Molecular Biology