Evidence map›Paper›PMID 34187974›Full record

ReviewJournal of genetics2021

Transcription factor stoichiometry in cell fate determination.

Rahul Kumar, Ajay Kumar Sharma

Abstract readReview
PubMed
In one paragraph

Review in Journal of genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Functional Characterization of thePlants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. The permissive binding theory of cancer.Frontiers in oncology · 2023
    Article
  10. Frontiers in plant science · 2023
    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 2 institutions in 2 countries.

Rahul KumarUniversity Department of Zoology, Vinoba Bhave University, Hazaribag 825 301, India. rahuldayanand33@gmail.com.
Ajay Kumar Sharma
Vinoba Bhave University · INZoetis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors play very important role in cell fate determination. There are many cell specific transcription factors which when expressed ectopically may lead to cell fate conversion or transdifferentiation. Many of these transcription factors function differently based on their levels and stoichiometry. Many different types of differentiated cells have been generated from other differentiated cell types by expressing different levels and stoichiometry of reprogramming factors. Many methodologies have been developed for efficient cell fate conversion by regulating the levels and stoichiometry of transcription factors in a particular cocktail that have therapeutic values. An approach called phenotypic activation which involves overexpression of putative transcription factors has been developed as a tool to discover new transcription factors and their targets. Transcription factor overexpression may also have toxic effects where nonspecific electrostatic interactions and 'squelching' may lead to inhibition of many genes. Altered levels of transcription factors may have disastrous consequences like cancer. Recent developments like designing of artificial transcription factors, nanotechnology-based transcriptional tools and CRISPR-based transcription modules with capabilities of precise regulation of gene expression patterns hold huge potentials in the field of transcriptional therapeutics.

Indexed as

Transcription, GeneticCell DifferentiationCell LineageCell TransdifferentiationCellular ReprogrammingCRISPR-Cas SystemsGene Expression Regulation, DevelopmentalHumansTranscription FactorsTranscription Factors

Identifiers

PMID34187974
OpenAlexW3167707256

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.