Correcting 4sU induced quantification bias in nucleotide conversion RNA-seq data

Kevin Berg, Manivel Lodha, Isabel Delazer, Karolina Bartosik, Yilliam Cruz Garcia, Thomas Hennig, Elmar Wolf, Lars Dölken, Alexandra Lusser, Bhupesh K Prusty, Florian Erhard (Corresponding Author)

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
19 Downloads (Pure)

Abstract

Nucleoside analogues like 4-thiouridine (4sU) are used to metabolically label newly synthesized RNA. Chemical conversion of 4sU before sequencing induces T-to-C mismatches in reads sequenced from labelled RNA, allowing to obtain total and labelled RNA expression profiles from a single sequencing library. Cytotoxicity due to extended periods of labelling or high 4sU concentrations has been described, but the effects of extensive 4sU labelling on expression estimates from nucleotide conversion RNA-seq have not been studied. Here, we performed nucleotide conversion RNA-seq with escalating doses of 4sU with short-term labelling (1h) and over a progressive time course (up to 2h) in different cell lines. With high concentrations or at later time points, expression estimates were biased in an RNA half-life dependent manner. We show that bias arose by a combination of reduced mappability of reads carrying multiple conversions, and a global, unspecific underrepresentation of labelled RNA emerging during library preparation and potentially global reduction of RNA synthesis. We developed a computational tool to rescue unmappable reads, which performed favourably compared to previous read mappers, and a statistical method, which could fully remove remaining bias. All methods developed here are freely available as part of our GRAND-SLAM pipeline and grandR package.

Original languageEnglish
Article numbergkae120
Pages (from-to)1-16
Number of pages16
JournalNucleic Acids Research
Volume52
Issue number7
DOIs
Publication statusPublished - 24 Apr 2024
Externally publishedYes

Field of Science*

  • 1.4 Chemical sciences
  • 3.1 Basic medicine
  • 1.6 Biological sciences

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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