title: m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
abstract: As the most prevalent mammalian mRNA epigenetic modification, N6-methyladenosine (m6A) has been shown to possess important post-transcriptional regulatory functions. However, the regulatory mechanisms and functional circuits of m6A are still largely elusive. To help unveil the regulatory circuitry mediated by mRNA m6A methylation, we develop here m6A-Driver, an algorithm for predicting m6A-driven genes and associated networks, whose functional interactions are likely to be actively modulated by m6A methylation under a specific condition. Specifically, m6A-Driver integrates the PPI network and the predicted differential m6A methylation sites from methylated RNA immunoprecipitation sequencing (MeRIP-Seq) data using a Random Walk with Restart (RWR) algorithm and then builds a consensus m6A-driven network of m6A-driven genes. To evaluate the performance, we applied m6A-Driver to build the context-specific m6A-driven networks for 4 known m6A (de)methylases, i.e., FTO, METTL3, METTL14 and WTAP. Our results suggest that m6A-Driver can robustly and efficiently identify m6A-driven genes that are functionally more enriched and associated with higher degree of differential expression than differential m6A methylated genes. Pathway analysis of the constructed context-specific m6A-driven gene networks further revealed the regulatory circuitry underlying the dynamic interplays between the methyltransferases and demethylase at the epitranscriptomic layer of gene regulation.
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
authors.forename: Song-Yao
authors.initials: SY
authors.lastname: Zhang
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
authors.forename: Shao-Wu
authors.initials: SW
authors.lastname: Zhang
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
authors.forename: Lian
authors.initials: L
authors.lastname: Liu
authors.affiliation: Department of Biological Sciences, HRINU, SUERI, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.
authors.forename: Jia
authors.identifier: http://orcid.org/0000-0003-3455-205X
authors.initials: J
authors.lastname: Meng
authors.affiliation: Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, United States of America.
authors.forename: Yufei
authors.initials: Y
authors.lastname: Huang
mesh_terms: D000241:Adenosine / Q000031:analogs & derivatives* / Q000235:genetics; D000465:Algorithms; D003198:Computer Simulation; D019175:DNA Methylation / Q000235:genetics*; D053263:Gene Regulatory Networks / Q000235:genetics*; D008957:Models, Genetic; D012313:RNA / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D012313:RNA; C010223:N-methyladenosine; D000241:Adenosine