Evidence map›Paper›PMID 21663799›Full record

ArticleCell2011

Metazoan operons accelerate recovery from growth-arrested states.

Alon Zaslaver, L Ryan Baugh, Paul W Sternberg

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

31 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  8. Resolution of polycistronic RNA by SL2RNA (New York, N.Y.) · 2020
    Article
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  13. Trans-spliced long non-coding RNA: an emerging regulator of pluripotency.Cellular and molecular life sciences : CMLS · 2018
    Review
  14. Article
  15. Genome research · 2017
    Article
  16. Article
  17. Review
  18. Hierarchical sparse coding in the sensory system of Caenorhabditis elegans.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Alon ZaslaverHoward Hughes Medical Institute and Division of Biology, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
L Ryan Baugh
Paul W Sternberg
California Institute of Technology · USDuke University · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Existing theories explain why operons are advantageous in prokaryotes, but their occurrence in metazoans is an enigma. Nematode operon genes, typically consisting of growth genes, are significantly upregulated during recovery from growth-arrested states. This expression pattern is anticorrelated to nonoperon genes, consistent with a competition for transcriptional resources. We find that transcriptional resources are initially limiting during recovery and that recovering animals are highly sensitive to any additional decrease in transcriptional resources. We provide evidence that operons become advantageous because, by clustering growth genes into operons, fewer promoters compete for the limited transcriptional machinery, effectively increasing the concentration of transcriptional resources and accelerating recovery. Mathematical modeling reveals how a moderate increase in transcriptional resources can substantially enhance transcription rate and recovery. This design principle occurs in different nematodes and the chordate C. intestinalis. As transition from arrest to rapid growth is shared by many metazoans, operons could have evolved to facilitate these processes.

Indexed as

Gene Expression RegulationOperonAnimalsCiona intestinalisModels, GeneticNematodaTranscription, Genetic

Identifiers

PMID21663799
PMCPMC3152313
OpenAlexW2057575035

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.