Correlating disordered activation domain ensembles with gene expression levels

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-dim...

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Main Authors: Eduardo Flores, Aleah R. Camacho, Estefania Cuevas-Zepeda, Mary B. McCoy, Feng Yu, Max V. Staller, Shahar Sukenik
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Biophysical Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2667074724000545
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author Eduardo Flores
Aleah R. Camacho
Estefania Cuevas-Zepeda
Mary B. McCoy
Feng Yu
Max V. Staller
Shahar Sukenik
author_facet Eduardo Flores
Aleah R. Camacho
Estefania Cuevas-Zepeda
Mary B. McCoy
Feng Yu
Max V. Staller
Shahar Sukenik
author_sort Eduardo Flores
collection DOAJ
description 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.
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publisher Elsevier
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series Biophysical Reports
spelling doaj-art-d9ea8745107043e3b1b5ac537d308cd72025-01-22T05:44:15ZengElsevierBiophysical Reports2667-07472025-03-0151100195Correlating disordered activation domain ensembles with gene expression levelsEduardo Flores0Aleah R. Camacho1Estefania Cuevas-Zepeda2Mary B. McCoy3Feng Yu4Max V. Staller5Shahar Sukenik6Department of Chemistry and Biochemistry, University of California, Merced, Merced, CaliforniaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, CaliforniaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, CaliforniaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, CaliforniaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CaliforniaDepartment 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, CaliforniaDepartment of Chemistry and Biochemistry, University of California, Merced, Merced, California; Department of Chemistry, Syracuse University, Syracuse, New York; Corresponding authorTranscription 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.http://www.sciencedirect.com/science/article/pii/S2667074724000545
spellingShingle Eduardo Flores
Aleah R. Camacho
Estefania Cuevas-Zepeda
Mary B. McCoy
Feng Yu
Max V. Staller
Shahar Sukenik
Correlating disordered activation domain ensembles with gene expression levels
Biophysical Reports
title Correlating disordered activation domain ensembles with gene expression levels
title_full Correlating disordered activation domain ensembles with gene expression levels
title_fullStr Correlating disordered activation domain ensembles with gene expression levels
title_full_unstemmed Correlating disordered activation domain ensembles with gene expression levels
title_short Correlating disordered activation domain ensembles with gene expression levels
title_sort correlating disordered activation domain ensembles with gene expression levels
url http://www.sciencedirect.com/science/article/pii/S2667074724000545
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AT marybmccoy correlatingdisorderedactivationdomainensembleswithgeneexpressionlevels
AT fengyu correlatingdisorderedactivationdomainensembleswithgeneexpressionlevels
AT maxvstaller correlatingdisorderedactivationdomainensembleswithgeneexpressionlevels
AT shaharsukenik correlatingdisorderedactivationdomainensembleswithgeneexpressionlevels