Evidence map›Paper›PMID 33561389›Full record

ArticleMolecular cell2021

An intrinsically disordered region-mediated confinement state contributes to the dynamics and function of transcription factors.

David A Garcia, Thomas A Johnson, Diego M Presman, Gregory Fettweis, Kaustubh Wagh, Lorenzo Rinaldi, Diana A Stavreva, Ville Paakinaho, Rikke A M Jensen, Susanne Mandrup and 2 more

Abstract read
In one paragraph

Article in Molecular cell, 2021. 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.

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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

12 authors.

David A GarciaLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Department of Physics, University of Maryland, College Park, MD 20742, USA.
Thomas A JohnsonLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA.
Diego M PresmanInstituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), CONICET-Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, C1428EGA Buenos Aires, Argentina.
Gregory FettweisLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA.
Kaustubh WaghLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Department of Physics, University of Maryland, College Park, MD 20742, USA.
Lorenzo RinaldiLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA.
Diana A StavrevaLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA.
Ville PaakinahoInstitute of Biomedicine, University of Eastern Finland, Kuopio, P.O. Box 1627, 70211 Kuopio, Finland.
Rikke A M JensenLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Susanne MandrupInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.
Arpita UpadhyayaDepartment of Physics, University of Maryland, College Park, MD 20742, USA; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA. Electronic address: arpitau@umd.edu.
Gordon L HagerLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20893, USA. Electronic address: hagerg@exchange.nih.gov.

Funding

Chromatin Structure and Gene ExpressionZIABC005450 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON L · 2009 to 2025
$35.2M
LRBGE Optical Microscopy CoreZICBC011574 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KARPOVA, TATIANA · 2014 to 2025
$7.4M
Intramural NIH HHS ZIA BC005450
6 · The paper itself

Abstract

Transcription factors (TFs) regulate gene expression by binding to specific consensus motifs within the local chromatin context. The mechanisms by which TFs navigate the nuclear environment as they search for binding sites remain unclear. Here, we used single-molecule tracking and machine-learning-based classification to directly measure the nuclear mobility of the glucocorticoid receptor (GR) in live cells. We revealed two distinct and dynamic low-mobility populations. One accounts for specific binding to chromatin, while the other represents a confinement state that requires an intrinsically disordered region (IDR), implicated in liquid-liquid condensate subdomains. Further analysis showed that the dwell times of both subpopulations follow a power-law distribution, consistent with a broad distribution of affinities on the GR cistrome and interactome. Together, our data link IDRs with a confinement state that is functionally distinct from specific chromatin binding and modulates the transcriptional output by increasing the local concentration of TFs at specific sites.

Indexed as

AnimalsFemaleIntrinsically Disordered ProteinsMiceRatsReceptors, GlucocorticoidTranscription FactorsIntrinsically Disordered ProteinsReceptors, GlucocorticoidTranscription Factorsbi-exponentialchromatin bindingconfinementglucocorticoid receptorGRdimGRmonintrinsically disordered regionspower-lawPPARsingle-moleculetranscription dynamics

Identifiers

PMID33561389
PMCPMC9258326

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.