Evidence map›Paper›PMID 34001530›Full record

ReviewCold Spring Harbor perspectives in biology2021

Transcription Factor Dynamics.

Feiyue Lu, Timothée Lionnet

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  8. Review
  9. What makes genes burst.Trends in cell biology · 2026
    Review
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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.

Feiyue LuInstitute for Systems Genetics and Cell Biology Department, NYU School of Medicine, New York, New York 10016, USA.
Timothée LionnetInstitute for Systems Genetics and Cell Biology Department, NYU School of Medicine, New York, New York 10016, USA.ORCID 0000-0003-1508-0202

Funding

Visualizing and manipulating chromatin dynamics in living cellsR01GM127538 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LIONNET, TIMOTHEE · 2018 to 2021
$2.0M
NIGMS NIH HHS R01 GM127538
6 · The paper itself

Abstract

To predict transcription, one needs a mechanistic understanding of how the numerous required transcription factors (TFs) explore the nuclear space to find their target genes, assemble, cooperate, and compete with one another. Advances in fluorescence microscopy have made it possible to visualize real-time TF dynamics in living cells, leading to two intriguing observations: first, most TFs contact chromatin only transiently; and second, TFs can assemble into clusters through their intrinsically disordered regions. These findings suggest that highly dynamic events and spatially structured nuclear microenvironments might play key roles in transcription regulation that are not yet fully understood. The emerging model is that while some promoters directly convert TF-binding events into on/off cycles of transcription, many others apply complex regulatory layers that ultimately lead to diverse phenotypic outputs. Cracking this kinetic code is an ongoing and challenging task that is made possible by combining innovative imaging approaches with biophysical models.

Indexed as

Gene Expression RegulationChromatinMicroscopy, FluorescenceProtein AggregatesTranscription FactorsTranscription, GeneticChromatinProtein AggregatesTranscription Factors

Identifiers

PMID34001530
PMCPMC8559544

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.