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J Comput Biol. 2020 Feb 5. doi: 10.1089/cmb.2019.0466. [Epub ahead of print]

ChExMix: A Method for Identifying and Classifying Protein-DNA Interaction Subtypes.

Author information

1
Center for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania.

Abstract

Regulatory proteins can employ multiple direct and indirect modes of interaction with the genome. The ChIP-exo mixture model (ChExMix) provides a principled approach to detecting multiple protein-DNA interaction modes in a single ChIP-exo experiment. ChExMix discovers and characterizes binding event subtypes in ChIP-exo data by leveraging both protein-DNA cross-linking signatures and DNA motifs. In this study, we present a summary of the major features and applications of ChExMix. We demonstrate that ChExMix does not require high-resolution protein-DNA binding assay data to detect binding event subtypes. Specifically, we apply ChExMix to analyze 393 ChIP-seq data profiles in K562 cells. Similar binding event subtypes are discovered across multiple proteins, suggesting the existence of colocalized regulatory protein modules that are recruited to DNA through a particular sequence-specific transcription factor. Our results thus suggest that ChExMix can characterize protein-DNA binding interaction modes using data from multiple types of protein-DNA interaction assays.

KEYWORDS:

ChIP-exo; ChIP-seq; protein–DNA binding event detection; protein–DNA interactions; transcription factors

PMID:
32023130
DOI:
10.1089/cmb.2019.0466

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