Bivalent-like chromatin markers are predictive for transcription start site distribution in human.

ABSTRACT: Deep sequencing of 5' capped transcripts has revealed a variety of transcription initiation patterns, from narrow, focused promoters to wide, broad promoters. Attempts have already been made to model empirically classified patterns, but virtually no quantitative models for transcription initiation have been reported. Even though both genetic and epigenetic elements have been associated with such patterns, the organization of regulatory elements is largely unknown. Here, linear regression models were derived from a pool of regulatory elements, including genomic DNA features, nucleosome organization, and histone modifications, to predict the distribution of transcription start sites (TSS). Importantly, models including both active and repressive histone modification markers, e.g. H3K4me3 and

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC3387189 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature