Evidence map›Paper›PMID 25637723›Full record

ReviewCurrent opinion in microbiology2015

Lost in transcription: transient errors in information transfer.

Alasdair J E Gordon, Dominik Satory, Jennifer A Halliday, Christophe Herman

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Mechanisms of protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Conserved rates and patterns of transcription errors across bacterial growth states and lifestyles.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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

4 authors at 1 institution in 1 country.

Alasdair J E GordonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Dominik SatoryDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Jennifer A HallidayDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Christophe HermanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: herman@bcm.edu.
Baylor College of Medicine · US

Funding

Molecular Noise, Transcription Errors and Heritable Phenotypic ChangeR01GM088653 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI HERMAN, CHRISTOPHE · 2010 to 2019
$3.1M
NIGMS NIH HHS R01 GM088653NIGMS NIH HHS R01GM088653
6 · The paper itself

Abstract

Errors in information transfer from DNA to RNA to protein are inevitable. Here, we focus on errors that occur in nascent transcripts during transcription, epimutations. Recent approaches using novel cDNA library preparation and next-generation sequencing begin to directly determine the rate of epimutation and allow analysis of the epimutational spectrum of transcription errors, the type and sequence context of the errors produced in a transcript by an RNA polymerase. The phenotypic consequences of transcription errors have been assessed using both forward and reverse epimutation systems. These studies reveal that transient transcription errors can produce a modification of cell phenotype, partial phenotypic suppression of a mutant allele, and a heritable change in cell phenotype, epigenetic switching in a bistable gene network.

Indexed as

Epigenesis, GeneticDNA-Directed RNA PolymerasesEscherichia coliGene Regulatory NetworksMutationPhenotypeRNA, BacterialRNA PrecursorsSequence Analysis, DNATranscription, GeneticDNA-Directed RNA PolymerasesRNA, BacterialRNA Precursors

Identifiers

PMID25637723
PMCPMC4380820
OpenAlexW2048091543

What Socratic holds

Textmetadata
LicenceTDM
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.