Updated Pseudo-seq Protocol for Transcriptome-Wide Detection of Pseudouridines.

Illumina NextSeq Next-generation sequencing Pseudo-seq Transcriptome-wide pseudouridine mapping mRNA modification

Journal

Bio-protocol
ISSN: 2331-8325
Titre abrégé: Bio Protoc
Pays: United States
ID NLM: 101635102

Informations de publication

Date de publication:
05 May 2024
Historique:
received: 15 01 2024
revised: 07 04 2024
accepted: 09 04 2024
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: epublish

Résumé

Pseudouridine (Ψ), the most prevalent modified base in cellular RNAs, has been mapped to numerous sites not only in rRNAs, tRNAs, and snRNAs but also mRNAs. Although there have been multiple techniques to identify Ψs, due to the recent development of sequencing technologies some reagents are not compatible with the current sequencer. Here, we show the updated Pseudo-seq, a technique enabling the genome-wide identification of pseudouridylation sites with single-nucleotide precision. We provide a comprehensive description of Pseudo-seq, covering protocols for RNA isolation from human cells, library preparation, and detailed data analysis procedures. The methodology presented is easily adaptable to any cell or tissue type with high-quality mRNA isolation. It can be used for discovering novel pseudouridylation sites, thus constituting a crucial initial step toward understanding the regulation and function of this modification. Key features • Identification of Ψ sites on mRNAs. • Updated Pseudo-seq provides precise positional and quantitative information of Ψ. • Uses a more efficient library preparation with the latest, currently available materials.

Identifiants

pubmed: 38737508
doi: 10.21769/BioProtoc.4985
pii: e4985
pmc: PMC11082786
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e4985

Informations de copyright

©Copyright : © 2024 The Authors; This is an open access article under the CC BY license.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

Auteurs

Yi Pan (Y)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Hironori Adachi (H)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Xueyang He (X)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Jonathan L Chen (JL)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Yi-Tao Yu (YT)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Paul L Boutz (PL)

University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA.

Classifications MeSH