Evidence map›Paper›PMID 31703623›Full record

ArticleBMC genomics2019

Template-switching artifacts resemble alternative polyadenylation.

Zsolt Balázs, Dóra Tombácz, Zsolt Csabai, Norbert Moldován, Michael Snyder, Zsolt Boldogkői

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Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

43 citing papers in PubMed.

  1. Review
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  7. The "cutting edge" of non-canonical RNA splicing.Frontiers in molecular biosciences · 2026
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  8. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  9. Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary. boldogkoi.zsolt@med.u-szeged.hu.

Funding

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal FK 128252Nemzeti Kutatási Fejlesztési és Innovációs Hivatal K 128247UNKP UNKP-18-3
6 · The paper itself

Abstract

backgroundAlternative polyadenylation is commonly examined using cDNA sequencing, which is known to be affected by template-switching artifacts. However, the effects of such template-switching artifacts on alternative polyadenylation are generally disregarded, while alternative polyadenylation artifacts are attributed to internal priming.

resultsHere, we analyzed both long-read cDNA sequencing and direct RNA sequencing data of two organisms, generated by different sequencing platforms. We developed a filtering algorithm which takes into consideration that template-switching can be a source of artifactual polyadenylation when filtering out spurious polyadenylation sites. The algorithm outperformed the conventional internal priming filters based on comparison to direct RNA sequencing data. We also showed that the polyadenylation artifacts arise in cDNA sequencing at consecutive stretches of as few as three adenines. There was no substantial difference between the lengths of poly(A) tails at the artifactual and the true transcriptional end sites even though it is expected that internal priming artifacts have shorter poly(A) tails than genuine polyadenylated reads.

conclusionsOur findings suggest that template switching plays an important role in the generation of spurious polyadenylation and support the need for more rigorous filtering of artifactual polyadenylation sites in cDNA data, or that alternative polyadenylation should be annotated using native RNA sequencing.

Indexed as

PolyadenylationArtifactsDNA, ComplementarySequence Analysis, DNATranscription, GeneticDNA, ComplementarycDNA sequencingDirect RNA sequencingInternal primingLong-read sequencingPolyadenylationRNA sequencingTemplate switching

Identifiers

PMID31703623
PMCPMC6839120

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LicenceCC BY
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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.