Literature DB >> 35669236

Systematic evaluation of parameters in RNA bisulfite sequencing data generation and analysis.

Zachary Johnson1, Xiguang Xu1, Christina Pacholec1, Hehuang Xie1.   

Abstract

The presence of 5-methylcytosine (m5C) in RNA molecules has been known for decades and its importance in regulating RNA metabolism has gradually become appreciated. Despite recent advances made in the functional and mechanistic understanding of RNA m5C modifications, the detection and quantification of methylated RNA remains a challenge. In this study, we compared four library construction procedures for RNA bisulfite sequencing and implemented an analytical pipeline to assess the key parameters in the process of m5C calling. We found that RNA fragmentation after bisulfite conversion increased the yield significantly, and an additional high temperature treatment improved bisulfite conversion efficiency especially for sequence reads mapped to the mitochondrial transcriptome. Using Unique Molecular Identifiers (UMIs), we observed that PCR favors the amplification of unmethylated templates. The low sequencing quality of bisulfite-converted bases is a major contributor to the methylation artifacts. In addition, we found that mitochondrial transcripts are frequently resistant to bisulfite conversion and no p-m5C sites with high confidence could be identified on mitochondrial mRNAs. Taken together, this study reveals the various sources of artifacts in RNA bisulfite sequencing data and provides an improved experimental procedure together with analytical methodology.
© The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Entities:  

Year:  2022        PMID: 35669236      PMCID: PMC9164272          DOI: 10.1093/nargab/lqac045

Source DB:  PubMed          Journal:  NAR Genom Bioinform        ISSN: 2631-9268


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  1 in total

1.  Neuronal Depolarization Induced RNA m5C Methylation Changes in Mouse Cortical Neurons.

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  1 in total

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