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Correcting 4sU induced quantification bias in nucleotide conversion RNA-seq data
Berg, Kevin, Lodha, Manivel
, Delazer, Isabel, Bartosik, Karolina, Garcia, Yilliam Cruz, Hennig, Thomas, Wolf, Elmar, Dölken, Lars, Lusser, Alexandra, Prusty, Bhupesh K.
and Erhard, Florian
(2024)
Correcting 4sU induced quantification bias in nucleotide conversion RNA-seq data.
Nucleic Acids Research 52 (7), e35.
Date of publication of this fulltext: 07 Mar 2024 13:43
Article
DOI to cite this document: 10.5283/epub.57868
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 ...
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.
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| Item type | Article | ||||
| Journal or Publication Title | Nucleic Acids Research | ||||
| Publisher: | Oxford University Press (OUP) | ||||
|---|---|---|---|---|---|
| Volume: | 52 | ||||
| Number of Issue or Book Chapter: | 7 | ||||
| Page Range: | e35 | ||||
| Date | 21 February 2024 | ||||
| Institutions | Informatics and Data Science > Department Computational Life Science > Chair of Computational Immunology (Prof. Dr. Florian Erhard) | ||||
| Identification Number |
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| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-578684 | ||||
| Item ID | 57868 |
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