Evidence map›Paper›PMID 30272673›Full record

ArticleJournal of visualized experiments : JoVE2018

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms.

Clark Fritsch, Jean-Francois Pierre Gout, Marc Vermulst

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. A Comprehensive Analysis ofAnimals : an open access journal from MDPI · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. The fidelity of transcription in human cells.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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

3 authors.

Clark FritschCenter for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia; Department of Cellular and Molecular Biology, University of Pennsylvania.
Jean-Francois Pierre GoutDepartment of Biological Sciences, Mississippi State University; Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University.
Marc VermulstCenter for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia; vermulstm@email.chop.edu.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Translational Research Training Program in Environmental Health SciencesT32ES019851 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Kara A Bernstein, Trevor M Penning · 2012 to 2026
$6.0M
Understanding the role of transcription errors in aging and diseaseR01AG054641 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VERMULST, MARC · 2017 to 2021
$1.7M
NIA NIH HHS R01 AG054641NIEHS NIH HHS P30 ES013508NIEHS NIH HHS T32 ES019851
6 · The paper itself

Abstract

Accurate transcription is required for the faithful expression of genetic information. Surprisingly though, little is known about the mechanisms that control the fidelity of transcription. To fill this gap in scientific knowledge, we recently optimized the circle-sequencing assay to detect transcription errors throughout the transcriptome of Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans. This protocol will provide researchers with a powerful new tool to map the landscape of transcription errors in eukaryotic cells so that the mechanisms that control the fidelity of transcription can be elucidated in unprecedented detail.

Indexed as

AnimalsEukaryotic CellsGenomicsTranscriptome

Identifiers

PMID30272673
PMCPMC6235186

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.