Identification of DNA motifs that regulate DNA methylation

Author:

Wang Mengchi1,Zhang Kai1,Ngo Vu1,Liu Chengyu2ORCID,Fan Shicai23ORCID,Whitaker John W4,Chen Yue25,Ai Rizi2,Chen Zhao2,Wang Jun2,Zheng Lina1,Wang Wei126

Affiliation:

1. Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA

2. Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA

3. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. Department of Genomics, Denovo Biopharma, 10240 Science Center Dr., San Diego, CA, USA

5. School of Life Science and Technology, Harbin Institute of Technology, Harbin, China

6. Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA

Abstract

AbstractDNA methylation is an important epigenetic mark but how its locus-specificity is decided in relation to DNA sequence is not fully understood. Here, we have analyzed 34 diverse whole-genome bisulfite sequencing datasets in human and identified 313 motifs, including 92 and 221 associated with methylation (methylation motifs, MMs) and unmethylation (unmethylation motifs, UMs), respectively. The functionality of these motifs is supported by multiple lines of evidence. First, the methylation levels at the MM and UM motifs are respectively higher and lower than the genomic background. Second, these motifs are enriched at the binding sites of methylation modifying enzymes including DNMT3A and TET1, indicating their possible roles of recruiting these enzymes. Third, these motifs significantly overlap with “somatic QTLs” (quantitative trait loci) of methylation and expression. Fourth, disruption of these motifs by mutation is associated with significantly altered methylation level of the CpGs in the neighbor regions. Furthermore, these motifs together with somatic mutations are predictive of cancer subtypes and patient survival. We revealed some of these motifs were also associated with histone modifications, suggesting a possible interplay between the two types of epigenetic modifications. We also found some motifs form feed forward loops to contribute to DNA methylation dynamics.

Funder

National Institutes of Health

CIRM

NSFC

Publisher

Oxford University Press (OUP)

Subject

Genetics

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