Evidence map›Paper›PMID 38381903›Full record

ArticleNucleic acids research2024

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 and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kevin BergChair of Computational Immunology, University of Regensburg, Regensburg, Germany.
Manivel LodhaInstitut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Isabel DelazerMedical University of Innsbruck, Biocenter, Institute of Molecular Biology, Innsbruck, Austria.
Karolina BartosikInstitute of Organic Chemistry, Center for Molecular Biosciences Innsbruck, University of Innsbruck, Innsbruck, Austria.
Yilliam Cruz GarciaCancer Systems Biology Group, Theodor Boveri Institute, University of Würzburg, Würzburg, Germany.
Thomas HennigInstitut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Elmar WolfCancer Systems Biology Group, Theodor Boveri Institute, University of Würzburg, Würzburg, Germany.
Lars DölkenInstitut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Alexandra LusserMedical University of Innsbruck, Biocenter, Institute of Molecular Biology, Innsbruck, Austria.ORCID 0000-0002-2226-9081
Bhupesh K PrustyInstitut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Florian ErhardChair of Computational Immunology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-3574-6983

Funding

Austrian Science Foundation FWF F8009-BBavarian State Ministry of Science and ArtsBavarian State Ministry of Science and Arts Bavarian Research Network FOR-COVIDDeutsche Forschungsgemeinschaft ER 927/2-1FOR5200 DEEP-DV 443644894University of Regensburg
6 · The paper itself

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.

Indexed as

RNA-SeqThiouridineHumansNucleotidesRNASequence Analysis, RNANucleotidesRNAThiouridine

Identifiers

PMID38381903
PMCPMC11039982

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.