Evidence map›Paper›PMID 39755236›Full record

ArticleBiophysical reports2025

Correlating disordered activation domain ensembles with gene expression levels.

Eduardo Flores, Aleah R Camacho, Estefania Cuevas-Zepeda, Mary B McCoy, Feng Yu, Max V Staller, Shahar Sukenik

Abstract read
In one paragraph

Article in Biophysical reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Eduardo FloresDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California.
Aleah R CamachoDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California.
Estefania Cuevas-ZepedaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California.
Mary B McCoyDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California.
Feng YuDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California.
Max V StallerDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California; Center for Computational Biology, University of California, Berkeley, Berkeley, California; Chan Zuckerberg Biohub-San Francisco, San Francisco, California.
Shahar SukenikDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California; Department of Chemistry, Syracuse University, Syracuse, New York. Electronic address: ssukenik@syr.edu.

Funding

Uncovering the structural underpinnings of function in disordered transcription factor regionsR35GM137926 · NIGMS · UNIVERSITY OF CALIFORNIA, MERCED · PI Shahar Sukenik · 2020 to 2026
$2.5M
Defining the protein sequence features that control transcriptional activation domain functionR35GM150813 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Max Valentin Staller · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM137926NIGMS NIH HHS R35 GM150813
6 · The paper itself

Abstract

Transcription factor proteins bind to specific DNA promoter sequences and initiate gene transcription. These proteins often contain intrinsically disordered activation domains (ADs) that regulate their transcriptional activity. Like other disordered protein regions, ADs do not have a fixed three-dimensional structure and instead exist in an ensemble of conformations. Disordered ensembles contain sequence-encoded structural preferences that are often linked to their function. We hypothesize that this link exists between the structural preferences of AD ensembles and their ability to induce gene expression. To test this, we measured the ensemble dimensions of two ADs, HIF-1α and CITED2, in live cells using fluorescence resonance energy transfer microscopy and correlated this structural information with their transcriptional activity. We find that mutations that expanded the ensemble of HIF-1α increased transcriptional activity, while compacting mutations reduced it, highlighting the critical role of structural plasticity in regulating HIF-1α function. Conversely, CITED2 showed no correlation between ensemble dimensions and activity. Our results highlight a possible link between AD ensemble dimensions and their transcriptional activity, with implications for transcriptional regulation and dysfunction.

Indexed as

Gene Expression RegulationHypoxia-Inducible Factor 1, alpha SubunitIntrinsically Disordered ProteinsRepressor ProteinsTranscriptional ActivationHumansMutationProtein DomainsTrans-ActivatorsCITED2 protein, humanHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitIntrinsically Disordered ProteinsRepressor ProteinsTrans-Activators

Identifiers

PMID39755236
PMCPMC11791265

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Registered trials

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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.