Evidence map›Paper›PMID 22513408›Full record

ReviewTrends in genetics : TIG2012

Mechanisms of transcriptional precision in animal development.

Mounia Lagha, Jacques P Bothma, Michael Levine

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genome-wide rules of transcription factor cooperativity revealed throughbioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Article
  9. The RNA Revolution in the Central Molecular Biology Dogma Evolution.International journal of molecular sciences · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Lentisk (Pharmaceutics · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

32 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

3 authors.

Mounia LaghaCenter for Integrative Genomics, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
Jacques P Bothma
Michael Levine

Funding

SPATIAL REALMS OF HOMEOTIC GENE EXPRESSION IN DROSOPHILAR01GM034431 · NIGMS · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI LEVINE, MICHAEL STEVEN · 1985 to 2016
$4.4M
MOLECULAR CHARACTERIZATION OF THE DORSAL MORPHOGENR01GM046638 · NIGMS · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI LEVINE, MICHAEL STEVEN · 1991 to 2016
$2.3M
NIGMS NIH HHS R01 GM034431NIGMS NIH HHS R01 GM046638
6 · The paper itself

Abstract

We review recently identified mechanisms of transcriptional control that ensure reliable and reproducible patterns of gene expression in natural populations of developing embryos, despite inherent fluctuations in gene regulatory processes, variations in genetic backgrounds and exposure to diverse environmental conditions. These mechanisms are not responsible for switching genes on and off. Instead, they control the fine-tuning of gene expression and ensure regulatory precision. Several such mechanisms are discussed, including redundant binding sites within transcriptional enhancers, shadow enhancers, and 'poised' enhancers and promoters, as well as the role of 'redundant' gene interactions within regulatory networks. We propose that such regulatory mechanisms provide population fitness and 'fine-tune' the spatial and temporal control of gene expression.

Indexed as

Gene Expression Regulation, DevelopmentalTranscription, GeneticAnimalsEnhancer Elements, GeneticGenomeHumansStochastic Processes

Identifiers

PMID22513408
PMCPMC4257495

What OpenQuestion holds

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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.