Topological Characterization of Human and Mouse m5C Epitranscriptome Revealed by Bisulfite Sequencing

Author:

Wei Zhen12ORCID,Panneerdoss Subbarayalu34,Timilsina Santosh34,Zhu Jingting15,Mohammad Tabrez A.3,Lu Zhi-Liang15,de Magalhães João Pedro2,Chen Yidong36,Rong Rong15ORCID,Huang Yufei67ORCID,Rao Manjeet K.34ORCID,Meng Jia15ORCID

Affiliation:

1. Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China

2. Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX Liverpool, UK

3. Greehey Children’s Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA

4. Department of Cellular Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA

5. Institute of Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK

6. Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA

7. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA

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 (5UTRs) 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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Pharmaceutical Science,Genetics,Molecular Biology,Biochemistry

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