Topological Characterization of Human and Mouse m5C Epitranscriptome Revealed by Bisulfite Sequencing
Year: 2018
Type: article
Abstract: Background. Compared with the well-studied 5-methylcytosine (m5C) in DNA, the role and topology of epitranscriptome m5C remain insufficiently characterized. Results. Through analyzing transcriptome-wide m5C distribution in human and mouse, we show that the m5C modification is significantly enriched at 5 ′ untranslated regions (5 ′ UTRs) of mRNA in human and mouse. With a comparative analysis of the mRNA and DNA methylome, we demonstrate that, like DNA methylation, transcriptome m5C methylation exhibits a strong clustering effect. Surprisingly, an inverse correlation between mRNA and DNA m5C methylation is observed at CpG sites. Further analysis reveals that RNA m5C methylation level is positively correlated with both RNA expression and RNA half-life. We also observed that the methylation level of mitochondrial RNAs is significantly higher than RNAs transcribed from the nuclear genome. Conclusions. This study provides an in-depth topological characterization of transcriptome-wide m5C modification by associating RNA m5C methylation patterns with transcriptional expression, DNA methylations, RNA stabilities, and mitochondrial genome.
DOI: 10.1155/2018/1351964
Language: English
Topic: RNA modifications and cancer
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,380
Funders: Cancer Research Institute, University of Texas at San Antonio, National Natural Science Foundation of China, Jiangsu University, Natural Science Foundation of Jiangsu Province, National Institutes of Health, University of Texas Health Science Center at San Antonio, National Cancer Institute, National Institute of General Medical Sciences, National Institute on Minority Health and Health Disparities
Awards: G1114781936, Mays Cancer Center at UT Health SA, G1427182054, G1707305582, G1802529437, G1825386480, G2022030287, G2066823964, G2149306170, G2205490886, G244978865, Collaborative Research:Graphical models for characterizing global RNA methylation, G2545609793, G2763083788, G316602623, G3335728709, G3378181322, G4027919643, G4502386164, G4540811719, G4703631424, G5491610368, G5517889021, G565186661, G5971589581, G6586211797, G6967843797, G7020501193, G7341503566, G7373798131, G7418737702, G7647881904, G7814350357, G8149494956, G8323264403, G852479868, G8574032574, G8752453141, G877591353, G8780295424, G9000002847, G921298708, RCMI Center for Interdiscplinary Health Research CIHR, G956896106
OpenAlex ID: W2808441339