Evidence map›Paper›PMID 34688689›Full record

ArticleDevelopmental biology2022

Transcriptional repression in stochastic gene expression, patterning, and cell fate specification.

Lukas Voortman, Robert J Johnston

Open access · greenAbstract read
In one paragraph

Article in Developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Regulation of Transcriptional Bursting and Spatial Patterning in EarlybioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
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

2 authors at 1 institution in 1 country.

Lukas VoortmanDepartment of Biology, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Robert J JohnstonDepartment of Biology, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA. Electronic address: robertjohnston@jhu.edu.
Johns Hopkins University · US

Funding

Mechanisms controlling stochastic gene expression during eye developmentR01EY025598 · NEI · JOHNS HOPKINS UNIVERSITY · PI Robert John Johnston · 2015 to 2026
$4.9M
The role of chromatin dynamics in stochastic cell fate specificationF31EY032430 · NEI · JOHNS HOPKINS UNIVERSITY · PI VOORTMAN, LUKAS · 2021 to 2023
$120k
NEI NIH HHS F31 EY032430NEI NIH HHS R01 EY025598
6 · The paper itself

Abstract

Development is often driven by signaling and lineage-specific cues, yielding highly uniform and reproducible outcomes. Development also involves mechanisms that generate noise in gene expression and random patterns across tissues. Cells sometimes randomly choose between two or more cell fates in a mechanism called stochastic cell fate specification. This process diversifies cell types in otherwise homogenous tissues. Stochastic mechanisms have been extensively studied in prokaryotes where noisy gene activation plays a pivotal role in controlling cell fates. In eukaryotes, transcriptional repression stochastically limits gene expression to generate random patterns and specify cell fates. Here, we review our current understanding of repressive mechanisms that produce random patterns of gene expression and cell fates in flies, plants, mice, and humans.

Indexed as

Gene Expression Regulation, DevelopmentalGene Expression Regulation, PlantPlantsTranscription, GeneticAnimalsHumansMiceAdcy3Cell fateComKEbfE(var)Greek islandsKlumpfussLhx2LSD1Olfactory sensory neuronOpsinPersisterPosition effect variegationR7 photoreceptorRepressionSpinelessStochasticitySu(var)X-inactivationXist

Identifiers

PMID34688689
PMCPMC8665150
OpenAlexW3209751360

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.