Evidence map›Paper›PMID 28143407›Full record

ArticleBMC genomics2017

Widespread changes in mRNA stability contribute to quiescence-specific gene expression patterns in a fibroblast model of quiescence.

Elizabeth L Johnson, David G Robinson, Hilary A Coller

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

20 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. The dynamics of centromere assembly and disassembly during quiescence.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Is There a Histone Code for Cellular Quiescence?Frontiers in cell and developmental biology · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Elizabeth L JohnsonDepartment of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA.
David G RobinsonLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, 08544, USA.
Hilary A CollerDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA, 90095, USA. hcoller@ucla.edu.
Princeton University · USUniversity of California, Los Angeles · US

Funding

The Role of Stromal Autophagy in Cutaneous MelanomaR01CA221296 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2018 to 2022
$1.8M
The Role of MicroRNAs in Cellular QuiescenceR01GM081686 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2008 to 2012
$1.4M
A Combined Computational and Experimental Approach to Defining Mechanisms of micrR01GM086465 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2009 to 2012
$1.1M
NIGMS NIH HHS R01 GM081686NIGMS NIH HHS R01 GM086465
6 · The paper itself

Abstract

backgroundQuiescence, reversible exit from the cell division cycle, is characterized by large-scale changes in steady-state gene expression, yet mechanisms controlling these changes are in need of further elucidation. In order to characterize the effects of post-transcriptional control on the quiescent transcriptome in human fibroblasts, we determined mRNA decay rates for over 10,000 genes using a transcription shut-off time-course.

resultsWe found that ~500 of the genes monitored exhibited significant changes in decay rate upon quiescence induction. Genes involved in RNA processing and ribosome biogenesis were destabilized with quiescence, while genes involved in the developmental process were stabilized with quiescence. Moreover, extracellular matrix genes demonstrated an upregulation of gene expression that corresponded with a stabilization of these transcripts. Additionally, targets of a quiescence-associated microRNA (miR-29) were significantly enriched in the fraction of transcripts that were stabilized during quiescence.

conclusionCoordinated stability changes in clusters of genes with important functions in fibroblast quiescence maintenance are highly correlated with quiescence gene expression patterns. Analysis of miR-29 target decay rates suggests that microRNA-induced changes in RNA stability are important contributors to the quiescence gene expression program in fibroblasts. The identification of multiple stability-related gene clusters suggests that other posttranscriptional regulators of transcript stability may contribute to the coordination of quiescence gene expression. Such regulators may ultimately prove to be valuable targets for therapeutics that target proliferative cells, for instance, in cancer or fibrosis.

Indexed as

Gene Expression RegulationRNA StabilityCluster AnalysisFibroblastsGene Expression ProfilingGenome, HumanGenome-Wide Association StudyGenomicsHumansResting Phase, Cell CycleRNA InterferenceRNA, MessengerTranscriptomeRNA, MessengerCell-cycleGene expressionmiR-29mRNA stabilityPost-transcriptional regulationQuiescence

Identifiers

PMID28143407
PMCPMC5286691
OpenAlexW2583937874

What OpenQuestion holds

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LicenceCC BY
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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.