Literature DB >> 30590725

Heterodimeric DNA motif synthesis and validations.

Ka-Chun Wong1, Jiecong Lin1, Xiangtao Li1, Qiuzhen Lin2, Cheng Liang3, You-Qiang Song4.   

Abstract

Bound by transcription factors, DNA motifs (i.e. transcription factor binding sites) are prevalent and important for gene regulation in different tissues at different developmental stages of eukaryotes. Although considerable efforts have been made on elucidating monomeric DNA motif patterns, our knowledge on heterodimeric DNA motifs are still far from complete. Therefore, we propose to develop a computational approach to synthesize a heterodimeric DNA motif from two monomeric DNA motifs. The approach is sequentially divided into two components (Phases A and B). In Phase A, we propose to develop the inference models on how two DNA monomeric motifs can be oriented and overlapped with each other at nucleotide level. In Phase B, given the two monomeric DNA motifs oriented, we further propose to develop DNA-binding family-specific input-output hidden Markov models (IOHMMs) to synthesize a heterodimeric DNA motif. To validate the approach, we execute and cross-validate it with the experimentally verified 618 heterodimeric DNA motifs across 49 DNA-binding family combinations. We observe that our approach can even "rescue" the existing heterodimeric DNA motif pattern (i.e. HOXB2_EOMES) previously published on Nature. Lastly, we apply the proposed approach to infer previously uncharacterized heterodimeric motifs. Their motif instances are supported by DNase accessibility, gene ontology, protein-protein interactions, in vivo ChIP-seq peaks, and even structural data from PDB. A public web-server is built for open accessibility and scientific impact. Its address is listed as follows: http://motif.cs.cityu.edu.hk/custom/MotifKirin.
© The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2019        PMID: 30590725      PMCID: PMC6393289          DOI: 10.1093/nar/gky1297

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  39 in total

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4.  An atlas of combinatorial transcriptional regulation in mouse and man.

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Journal:  Cell       Date:  2010-03-05       Impact factor: 41.582

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7.  MotifHyades: expectation maximization for de novo DNA motif pair discovery on paired sequences.

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Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

8.  Determination and inference of eukaryotic transcription factor sequence specificity.

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Journal:  Cell       Date:  2014-09-11       Impact factor: 41.582

9.  Multidomain integration in the structure of the HNF-4α nuclear receptor complex.

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Journal:  Nature       Date:  2013-03-13       Impact factor: 49.962

10.  Computational learning on specificity-determining residue-nucleotide interactions.

Authors:  Ka-Chun Wong; Yue Li; Chengbin Peng; Alan M Moses; Zhaolei Zhang
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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