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Comparative Analysis of Human Genes Frequently and Occasionally Regulated by m(6)A Modification

The m(6)A modification has been implicated as an important epitranscriptomic marker, which plays extensive roles in the regulation of transcript stability, splicing, translation, and localization. Nevertheless, only some genes are repeatedly modified across various conditions and the principle of m(...

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Detalles Bibliográficos
Autores principales: Zhou, Yuan, Cui, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112303/
https://www.ncbi.nlm.nih.gov/pubmed/29730206
http://dx.doi.org/10.1016/j.gpb.2018.01.001
Descripción
Sumario:The m(6)A modification has been implicated as an important epitranscriptomic marker, which plays extensive roles in the regulation of transcript stability, splicing, translation, and localization. Nevertheless, only some genes are repeatedly modified across various conditions and the principle of m(6)A regulation remains elusive. In this study, we performed a systems-level analysis of human genes frequently regulated by m(6)A modification (m(6)Afreq genes) and those occasionally regulated by m(6)A modification (m(6)Aocca genes). Compared to the m(6)Aocca genes, the m(6)Afreq genes exhibit gene importance-related features, such as lower dN/dS ratio, higher protein–protein interaction network degree, and reduced tissue expression specificity. Signaling network analysis indicates that the m(6)Afreq genes are associated with downstream components of signaling cascades, high-linked signaling adaptors, and specific network motifs like incoherent feed forward loops. Moreover, functional enrichment analysis indicates significant overlaps between the m(6)Afreq genes and genes involved in various layers of gene expression, such as being the microRNA targets and the regulators of RNA processing. Therefore, our findings suggest the potential interplay between m(6)A epitranscriptomic regulation and other gene expression regulatory machineries.