Evidence map›Paper›PMID 38109289›Full record

ArticleNucleic acids research2024

Intrinsically disordered regions of the Msn2 transcription factor encode multiple functions using interwoven sequence grammars.

Vladimir Mindel, Sagie Brodsky, Aileen Cohen, Wajd Manadre, Felix Jonas, Miri Carmi, Naama Barkai

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  3. SIRT1 Exon 2-Encoded IDR Gates CREB-Dependent Transcriptional Timing During Fasting.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

7 authors.

Vladimir MindelDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Sagie BrodskyDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Aileen CohenDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Wajd ManadreDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Felix JonasDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Miri CarmiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Naama BarkaiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-2444-6061

Funding

European Research Council
6 · The paper itself

Abstract

Intrinsically disordered regions (IDRs) are abundant in eukaryotic proteins, but their sequence-function relationship remains poorly understood. IDRs of transcription factors (TFs) can direct promoter selection and recruit coactivators, as shown for the budding yeast TF Msn2. To examine how IDRs encode both these functions, we compared genomic binding specificity, coactivator recruitment, and gene induction amongst a large set of designed Msn2-IDR mutants. We find that both functions depend on multiple regions across the > 600AA IDR. Yet, transcription activity was readily disrupted by mutations that showed no effect on the Msn2 binding specificity. Our data attribute this differential sensitivity to the integration of a relaxed, composition-based code directing binding specificity with a more stringent, motif-based code controlling the recruitment of coactivators and transcription activity. Therefore, Msn2 utilizes interwoven sequence grammars for encoding multiple functions, suggesting a new IDR design paradigm of potentially general use.

Indexed as

DNA-Binding ProteinsIntrinsically Disordered ProteinsSaccharomyces cerevisiae ProteinsTranscription FactorsGene Expression RegulationMutationSaccharomyces cerevisiaeDNA-Binding ProteinsIntrinsically Disordered ProteinsMSN2 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID38109289
PMCPMC10954448

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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.