Evidence map›Paper›PMID 26652005›Full record

ArticleeLife2015

RNA polymerase errors cause splicing defects and can be regulated by differential expression of RNA polymerase subunits.

Lucas B Carey

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

33 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  8. When SizeBiomedicines · 2023
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  10. Unraveling the Molecular Impact of Sperm DNA Damage on Human Reproduction.Advances in experimental medicine and biology · 2022
    Article
  11. Article
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  13. A rapidly reversible mutation generates subclonal genetic diversity and unstable drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Article
  15. Article
  16. The evolution and clinical impact of hepatitis B virus genome diversity.Nature reviews. Gastroenterology & hepatology · 2020
    Review
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 2 countries.

Lucas B CareyDepartment of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Max Planck Institute for Biophysical Chemistry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Errors during transcription may play an important role in determining cellular phenotypes: the RNA polymerase error rate is >4 orders of magnitude higher than that of DNA polymerase and errors are amplified >1000-fold due to translation. However, current methods to measure RNA polymerase fidelity are low-throughout, technically challenging, and organism specific. Here I show that changes in RNA polymerase fidelity can be measured using standard RNA sequencing protocols. I find that RNA polymerase is error-prone, and these errors can result in splicing defects. Furthermore, I find that differential expression of RNA polymerase subunits causes changes in RNA polymerase fidelity, and that coding sequences may have evolved to minimize the effect of these errors. These results suggest that errors caused by RNA polymerase may be a major source of stochastic variability at the level of single cells.

Indexed as

MutationRNA SplicingTranscription, GeneticDNA-Directed RNA PolymerasesMutation RateSaccharomyces cerevisiaeSequence Analysis, DNADNA-Directed RNA Polymerasesbiological errorscomputational biologyevolutionary biologygenomicshumanRNA polymeraseRNA-seqS. cerevisiaesplicingsystems biology

Identifiers

PMID26652005
PMCPMC4868539
OpenAlexW2193989147

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.