Evidence map›Paper›PMID 33904398›Full record

ArticleeLife2021

Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator.

Adrian L Sanborn, Benjamin T Yeh, Jordan T Feigerle, Cynthia V Hao, Raphael Jl Townshend, Erez Lieberman Aiden, Ron O Dror, Roger D Kornberg

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing 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

110 citing papers in PubMed.

  1. Article
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  7. Generative design of intrinsically disordered protein regions with IDiom.bioRxiv : the preprint server for biology · 2026
    Article
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  11. Article
  12. Review
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  20. Article

50 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

8 authors.

Adrian L SanbornDepartment of Structural Biology, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0002-4725-8012
Benjamin T YehDepartment of Computer Science, Stanford University, Stanford, United States.ORCID 0000-0001-9397-6392
Jordan T FeigerleDepartment of Structural Biology, Stanford University School of Medicine, Stanford, United States.
Cynthia V HaoDepartment of Structural Biology, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0003-2183-0698
Raphael Jl TownshendDepartment of Computer Science, Stanford University, Stanford, United States.
Erez Lieberman AidenThe Center for Genome Architecture, Baylor College of Medicine, Houston, United States.
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, United States.
Roger D KornbergDepartment of Structural Biology, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0002-2425-7519

Funding

Structure of the Eukaryote Transcription ApparatusR01AI021144 · NIAID · STANFORD UNIVERSITY · PI KORNBERG, ROGER D · 1985 to 2018
$10.3M
Three-Dimensional Structure of Eukaryote ChromosomesR01DK121366 · NIDDK · STANFORD UNIVERSITY · PI LEVITT, MICHAEL · 2018 to 2021
$4.8M
GENOME WIDE MAPPING OF LOOPS USING IN SITU HI-CUM1HG009375 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI LIEBERMAN-AIDEN, EREZ · 2017 to 2021
$4.7M
Beyond Gene Dosage: Understanding Down Syndrome via 4D Genome OrganizationU01HL156059 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LI, WENBO · 2020 to 2024
$3.1M
Supplement - Beyond pairwise DNA contacts: exploring higher-order genome structure using proximity ligationU01HL130010 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LIEBERMAN-AIDEN, EREZ · 2015 to 2019
$2.3M
Discovering the mechanism of GPCR-mediated arrestin stimulation to enable effective drug therapiesR01GM127359 · NIGMS · STANFORD UNIVERSITY · PI DROR, RON · 2018 to 2022
$1.5M
Reconstitution of Transcription Using TATA-less PromotersF32GM126704 · NIGMS · STANFORD UNIVERSITY · PI FEIGERLE, JORDAN TAYLOR · 2017 to 2021
$200k
NHGRI NIH HHS UM1 HG009375NHLBI NIH HHS U01 HL130010NHLBI NIH HHS U01 HL156059NIAID NIH HHS R01 AI021144NIDDK NIH HHS R01 DK121366NIGMS NIH HHS F32 GM126704NIGMS NIH HHS R01 GM127359
6 · The paper itself

Abstract

Gene activator proteins comprise distinct DNA-binding and transcriptional activation domains (ADs). Because few ADs have been described, we tested domains tiling all yeast transcription factors for activation in vivo and identified 150 ADs. By mRNA display, we showed that 73% of ADs bound the Med15 subunit of Mediator, and that binding strength was correlated with activation. AD-Mediator interaction in vitro was unaffected by a large excess of free activator protein, pointing to a dynamic mechanism of interaction. Structural modeling showed that ADs interact with Med15 without shape complementarity ('fuzzy' binding). ADs shared no sequence motifs, but mutagenesis revealed biochemical and structural constraints. Finally, a neural network trained on AD sequences accurately predicted ADs in human proteins and in other yeast proteins, including chromosomal proteins and chromatin remodeling complexes. These findings solve the longstanding enigma of AD structure and function and provide a rationale for their role in biology.

Indexed as

Catalytic DomainGenetic VariationHigh-Throughput Screening AssaysHumansMediator ComplexSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptional ActivationTranscription FactorsGAL11 protein, S cerevisiaeMED15 protein, humanMediator ComplexSaccharomyces cerevisiae ProteinsTranscription Factorsactivation domainchromosomescomputational biologygene expressionhigh-throughput screeninghumanmachine learningmediator complexmolecular simulationS. cerevisiaesystems biologytranscription factor

Identifiers

PMID33904398
PMCPMC8137143

What OpenQuestion holds

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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.