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Comparative Analysis of Human Genes Frequently and Occasionally Regulated by mA Modification / 基因组蛋白质组与生物信息学报·英文版
Genomics, Proteomics & Bioinformatics ; (4): 127-135, 2018.
Article in English | WPRIM | ID: wpr-772996
ABSTRACT
The mA 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 mA regulation remains elusive. In this study, we performed a systems-level analysis of human genes frequently regulated by mA modification (mAfreq genes) and those occasionally regulated by mA modification (mAocca genes). Compared to the mAocca genes, the mAfreq 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 mAfreq 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 mAfreq 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 mA epitranscriptomic regulation and other gene expression regulatory machineries.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Organ Specificity / Signal Transduction / Adenosine / Gene Expression Regulation / MicroRNAs / Gene Regulatory Networks / Metabolism Limits: Humans Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Organ Specificity / Signal Transduction / Adenosine / Gene Expression Regulation / MicroRNAs / Gene Regulatory Networks / Metabolism Limits: Humans Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2018 Type: Article