Systematic evaluation of factors influencing ChIP-seq fidelity

Academic Article

Abstract

  • We evaluated how variations in sequencing depth and other parameters influence interpretation of chromatin immunoprecipitation-sequencing (ChIP-seq) experiments. Using Drosophila melanogaster S2 cells, we generated ChIP-seq data sets for a site-specific transcription factor (Suppressor of Hairy-wing) and a histone modification (H3K36me3). We detected a chromatin-state bias: open chromatin regions yielded higher coverage, which led to false positives if not corrected. This bias had a greater effect on detection specificity than any base-composition bias. Paired-end sequencing revealed that single-end data underestimated ChIP-library complexity at high coverage. Removal of reads originating at the same base reduced false-positives but had little effect on detection sensitivity. Even at mappable-genome coverage depth of ∼1 read per base pair, ∼1% of the narrow peaks detected on a tiling array were missed by ChIP-seq. Evaluation of widely used ChIP-seq analysis tools suggests that adjustments or algorithm improvements are required to handle data sets with deep coverage. © 2012 Nature America, Inc. All rights reserved.
  • Published In

  • Nature methods  Journal
  • Digital Object Identifier (doi)

    Pubmed Id

  • 5905445
  • Author List

  • Chen Y; Negre N; Li Q; Mieczkowska JO; Slattery M; Liu T; Zhang Y; Kim TK; He HH; Zieba J
  • Start Page

  • 609
  • End Page

  • 614
  • Volume

  • 9
  • Issue

  • 6