Evidence map›Paper›PMID 24077216›Full record

ArticleNature communications2013

MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.

Velia Siciliano, Immacolata Garzilli, Chiara Fracassi, Stefania Criscuolo, Simona Ventre, Diego di Bernardo

Abstract read
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Transcriptomic Analysis IdentifiesAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Liver kinase B1 (LKB1) regulates the epigenetic landscape of mouse pancreatic beta cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  11. The art of modeling gene regulatory circuits.NPJ systems biology and applications · 2024
    Article
  12. Review
  13. Bioenergetic costs and the evolution of noise regulation by microRNAs.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Cervical microRNA expression and spontaneous preterm birth.American journal of obstetrics & gynecology MFM · 2023
    Article
  20. Article

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

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

6 authors.

Velia Siciliano1] Telethon Institute of Genetics and Medicine (TIGEM), Via P. Castellino 111, 80131 Naples, Italy [2] Department of Biological Engineering, Massachusetts Institute of Technology. 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA [3].
Immacolata Garzilli
Chiara Fracassi
Stefania Criscuolo
Simona Ventre
Diego di Bernardo

Funding

Telethon TGM11SB1
6 · The paper itself

Abstract

miRNAs are small non-coding RNAs able to modulate target gene expression. It has been postulated that miRNAs confer robustness to biological processes, but clear experimental evidence is still missing. Here, using a synthetic biological approach, we demonstrate that microRNAs provide phenotypic robustness to transcriptional regulatory networks by buffering fluctuations in protein levels. We construct a network motif in mammalian cells exhibiting a 'toggle-switch' phenotype in which two alternative protein expression levels define its ON and OFF states. The motif consists of an inducible transcription factor that self-regulates its own transcription and that of a miRNA against the transcription factor itself. We confirm, using mathematical modelling and experimental approaches, that the microRNA confers robustness to the toggle-switch by enabling the cell to maintain and transmit its state. When absent, a dramatic increase in protein noise level occurs, causing the cell to randomly switch between the two states.

Indexed as

Feedback, PhysiologicalGene Regulatory NetworksModels, GeneticPhenotypeAnimalsCHO CellsCricetulusE2F1 Transcription FactorGene Expression RegulationGenetic VectorsLentivirusMicroRNAsProtein BiosynthesisStochastic ProcessesSynthetic BiologyTranscription, GeneticE2F1 Transcription FactorMicroRNAs

Identifiers

PMID24077216
PMCPMC3836244

What OpenQuestion 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 OpenQuestion graph.