Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

View graph of relations

Detail(s)

Original languageEnglish
Article numbergkae210
Journal / PublicationNucleic Acids Research
Online published4 Apr 2024
Publication statusOnline published - 4 Apr 2024

Abstract

DNA motifs are crucial patterns in gene regulation. DNA-binding proteins (DBPs), including transcription factors, can bind to specific DNA motifs to regulate gene expression and other cellular activities. Past studies suggest that DNA shape features could be subtly involved in DNA–DBP interactions. Therefore, the shape motif annotations based on intrinsic DNA topology can deepen the understanding of DNA–DBP binding. Nevertheless, high-throughput tools for DNA shape motif discovery that incorporate multiple features altogether remain insufficient. To address it, we propose a series of methods to discover non-redundant DNA shape motifs with the generalization to multiple motifs in multiple shape features. Specifically, an existing Gibbs sampling method is generalized to multiple DNA motif discovery with multiple shape features. Meanwhile, an expectation-maximization (EM) method and a hybrid method coupling EM with Gibbs sampling are proposed and developed with promising performance, convergence capability, and efficiency. The discovered DNA shape motif instances reveal insights into low-signal ChIP-seq peak summits, complementing the existing sequence motif discovery works. Additionally, our modelling captures the potential interplays across multiple DNA shape features. We provide a valuable platform of tools for DNA shape motif discovery. © The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.