Evidence map›Paper›PMID 36622807›Full record

ReviewGenes & development

Transcription factors specifically control change.

Ellen V Rothenberg

Abstract readReview
In one paragraph

Review in Genes & development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Comprehensive summary: the role of PBX1 in development and cancers.Frontiers in cell and developmental biology · 2024
    Review
  6. Review
  7. 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

1 author.

Ellen V RothenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA evroth@its.caltech.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors are defined by their sequence-specific binding to DNA and by their selective impacts on gene expression, depending on specific binding sites. The factor binding motifs in the DNA should thus represent a blueprint of regulatory logic, suggesting that transcription factor binding patterns on the genome (e.g., measured by ChIP-seq) should indicate which target genes the factors are directly controlling. However, although genetic data confirm high impacts of transcription factor perturbation in embryology, transcription factors bind to far more sites than the number of genes they dynamically regulate, when measured by direct perturbation in a given cell type. Also, deletion of carefully chosen transcription factor binding sites often gives disappointingly weak results. In a new study in the previous issue of

Indexed as

Embryonic Stem CellsTranscription FactorsBinding SitesCell DifferentiationDNAGene Expression RegulationOctamer Transcription Factor-3SOXB1 Transcription FactorsDNAOctamer Transcription Factor-3SOXB1 Transcription FactorsTranscription Factorsdifferentiationembryonic stem cellsOct4pluripotencySox2transcription

Identifiers

PMID36622807
PMCPMC9851400

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.