Evidence map›Paper›PMID 25838385›Full record

ArticleScience (New York, N.Y.)2015

Gene expression. MicroRNA control of protein expression noise.

Jörn M Schmiedel, Sandy L Klemm, Yannan Zheng, Apratim Sahay, Nils Blüthgen, Debora S Marks, Alexander van Oudenaarden

Abstract read
PubMed Publisher
In one paragraph

Article in Science (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed
19.2field-weighted citation impact, top 1% 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

204 citing papers in PubMed, 405 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Computational Methods for Pathway and Network Analysis with MicroRNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

144 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Jörn M SchmiedelIntegrative Research Institute for the Life Sciences and Institute for Theoretical Biology, Humboldt Universität, 10115 Berlin, Germany. Institute of Pathology, Charité-Universitätsmedizin, 10117 Berlin, Germany. Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA.
Sandy L KlemmDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA.
Yannan ZhengDepartment of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA.
Apratim SahayDepartment of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA.
Nils BlüthgenIntegrative Research Institute for the Life Sciences and Institute for Theoretical Biology, Humboldt Universität, 10115 Berlin, Germany. Institute of Pathology, Charité-Universitätsmedizin, 10117 Berlin, Germany. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu.
Debora S MarksDepartment of Systems Biology, Harvard Medical School, Longwood Avenue, Boston, MA 02115, USA. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu.
Alexander van OudenaardenDepartment of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA. Department of Biology, MIT, Cambridge, MA 02139, USA. Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, Netherlands. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu.
Charité - Universitätsmedizin Berlin · DEMassachusetts Institute of Technology · USIIT@MIT · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) repress the expression of many genes in metazoans by accelerating messenger RNA degradation and inhibiting translation, thereby reducing the level of protein. However, miRNAs only slightly reduce the mean expression of most targeted proteins, leading to speculation about their role in the variability, or noise, of protein expression. We used mathematical modeling and single-cell reporter assays to show that miRNAs, in conjunction with increased transcription, decrease protein expression noise for lowly expressed genes but increase noise for highly expressed genes. Genes that are regulated by multiple miRNAs show more-pronounced noise reduction. We estimate that hundreds of (lowly expressed) genes in mouse embryonic stem cells have reduced noise due to substantial miRNA regulation. Our findings suggest that miRNAs confer precision to protein expression and thus offer plausible explanations for the commonly observed combinatorial targeting of endogenous genes by multiple miRNAs, as well as the preferential targeting of lowly expressed genes.

Indexed as

Gene Expression Regulation3' Untranslated RegionsAnimalsEmbryonic Stem CellsMiceMicroRNAsModels, GeneticProtein BiosynthesisRNA, MessengerSingle-Cell AnalysisTranscription, Genetic3' Untranslated RegionsMicroRNAsMirn20 microRNA, mouseRNA, Messenger

Identifiers

PMID25838385
OpenAlexW2020596227

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.