GSE132906
siQ-ChIP: A reverse-engineered quantitative framework for ChIP-sequencing
Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is a key technique for mapping the distribution and relative abundance of histone posttranslational modifications (PTMs) and chromatin-associated factors across genomes. There is a perceived challenge regarding the ability to quantitatively plot ChIP-seq data, and as such, approaches making use of exogenous additives, or “spike-ins” have recently been developed. Relying on the fact that the IP step of ChIP-seq is a competitive binding reaction, we present a quantitative framework for ChIP-seq analysis that circumvents the need to modify standard sample preparation pipelines with spike-in reagents. We also introduce a visualization technique that, when paired with our formal developments, produces a much more rich characterization of sequencing data. Overall design: Examination of H3K27me3 in a wild-type cell line and one treated with the EZH2 inhibitor (EPZ6438). Examination of H3K9me3 in a wild-type cell line.