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

dc.contributor.authorJohnson, Zacharyen
dc.contributor.authorXu, Xiguangen
dc.contributor.authorPacholec, Christinaen
dc.contributor.authorXie, Hehuangen
dc.date.accessioned2025-05-12T12:57:19Zen
dc.date.available2025-05-12T12:57:19Zen
dc.date.issued2022-03-31en
dc.description.abstractThe 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.en
dc.description.versionPublished versionen
dc.format.extent13 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN lqac045 (Article number)en
dc.identifier.doihttps://doi.org/10.1093/nargab/lqac045en
dc.identifier.eissn2631-9268en
dc.identifier.issn2631-9268en
dc.identifier.issue2en
dc.identifier.orcidXie, Hehuang [0000-0001-5739-1653]en
dc.identifier.orcidXu, Xiguang [0000-0001-6862-7545]en
dc.identifier.otherPMC9164272en
dc.identifier.otherlqac045 (PII)en
dc.identifier.pmid35669236en
dc.identifier.urihttps://hdl.handle.net/10919/131426en
dc.identifier.volume4en
dc.language.isoenen
dc.publisherOxford University Pressen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/35669236en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleSystematic evaluation of parameters in RNA bisulfite sequencing data generation and analysisen
dc.title.serialNAR Genomics and Bioinformaticsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2022-05-23en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Veterinary Medicineen
pubs.organisational-groupVirginia Tech/Veterinary Medicine/Biomedical Sciences and Pathobiologyen
pubs.organisational-groupVirginia Tech/Faculty of Health Sciencesen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Veterinary Medicine/CVM T&R Facultyen
pubs.organisational-groupVirginia Tech/Post-docsen
pubs.organisational-groupVirginia Tech/Veterinary Medicine/Biomedical Sciences and Pathobiology/Otheren

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