Evidence map›Paper›PMID 27626385›Full record

ArticleNature2016

Acetylation-regulated interaction between p53 and SET reveals a widespread regulatory mode.

Donglai Wang, Ning Kon, Gorka Lasso, Le Jiang, Wenchuan Leng, Wei-Guo Zhu, Jun Qin, Barry Honig, Wei Gu

Abstract read
In one paragraph

Article in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

133 citing papers in PubMed, 191 citations in OpenAlex.

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  14. The oncoprotein SET promotes serine-derived one-carbon metabolism by regulating SHMT2 enzymatic activity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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73 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Donglai Wang *Institute for Cancer Genetics, Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, College of Physicians & Surgeons, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Ning Kon *Institute for Cancer Genetics, Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, College of Physicians & Surgeons, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Gorka LassoDepartment of Biochemistry and Molecular Biophysics and Systems Biology, Center for Computational Biology and Bioinformatics, Howard Hughes Medical Institute, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Le JiangInstitute for Cancer Genetics, Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, College of Physicians & Surgeons, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Wenchuan LengState Key Laboratory of Proteomics, National Center for Protein Sciences (The PHOENIX Center, Beijing), Beijing, 102206, China.
Wei-Guo ZhuDepartment of Biochemistry and Molecular Biology, Shenzhen University School of Medicine, Shenzhen 518060, China.
Jun QinState Key Laboratory of Proteomics, National Center for Protein Sciences (The PHOENIX Center, Beijing), Beijing, 102206, China.
Barry HonigDepartment of Biochemistry and Molecular Biophysics and Systems Biology, Center for Computational Biology and Bioinformatics, Howard Hughes Medical Institute, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Wei GuInstitute for Cancer Genetics, Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, College of Physicians & Surgeons, Columbia University, 1130 Nicholas Ave, New York, NY 10032, USA.
Columbia University · USBeijing Proteome Research Center · CNShenzhen University · CNCancer Genetics (United States) · US

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
PW1--A mediator of cell survival by NFKB and cell death by p53P01CA080058 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI AARONSON, STUART A · 2000 to 2016
$20.2M
Regulation of p53 acetylation and deacetylation in tumorigenesis.R01CA085533 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, WEI · 2000 to 2021
$5.2M
COMPUTER STUDIES OF PROTEIN STRUCTURE AND FUNCTIONR01GM030518 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HONIG, BARRY H · 1985 to 2020
$4.5M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
HAUSP inhibitors in p53-wild type and p53-mutant tumorsR01CA193890 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, WEI · 2015 to 2019
$1.8M
Regulation of SLC7A11 by p53 in cancer metabolismR01CA190477 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, WEI · 2016 to 2020
$1.8M
COMPUTER STUDIES OF PROTEIN STRUCTURE AND FUNCTIONR37GM030518 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HONIG, BARRY H · 1995 to 2004
$1.5M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
NCI NIH HHS P01 CA080058NCI NIH HHS R01 CA085533NCI NIH HHS R01 CA190477NCI NIH HHS R01 CA193890NCI NIH HHS U54 CA121852NIGMS NIH HHS R01 GM030518NIGMS NIH HHS R37 GM030518NIH HHS S10 OD012351NIH HHS S10 OD021764
6 · The paper itself

Abstract

Although lysine acetylation is now recognized as a general protein modification for both histones and non-histone proteins, the mechanisms of acetylation-mediated actions are not completely understood. Acetylation of the C-terminal domain (CTD) of p53 (also known as TP53) was an early example of non-histone protein acetylation and its precise role remains unclear. Lysine acetylation often creates binding sites for bromodomain-containing 'reader' proteins. Here we use a proteomic screen to identify the oncoprotein SET as a major cellular factor whose binding with p53 is dependent on CTD acetylation status. SET profoundly inhibits p53 transcriptional activity in unstressed cells, but SET-mediated repression is abolished by stress-induced acetylation of p53 CTD. Moreover, loss of the interaction with SET activates p53, resulting in tumour regression in mouse xenograft models. Notably, the acidic domain of SET acts as a 'reader' for the unacetylated CTD of p53 and this mechanism of acetylation-dependent regulation is widespread in nature. For example, acetylation of p53 also modulates its interactions with similar acidic domains found in other p53 regulators including VPRBP (also known as DCAF1), DAXX and PELP1 (refs. 7, 8, 9), and computational analysis of the proteome has identified numerous proteins with the potential to serve as acidic domain readers and lysine-rich ligands. Unlike bromodomain readers, which preferentially bind the acetylated forms of their cognate ligands, the acidic domain readers specifically recognize the unacetylated forms of their ligands. Finally, the acetylation-dependent regulation of p53 was further validated in vivo by using a knock-in mouse model expressing an acetylation-mimicking form of p53. These results reveal that acidic-domain-containing factors act as a class of acetylation-dependent regulators by targeting p53 and, potentially, other proteins.

Indexed as

AcetylationAmino Acid SequenceAnimalsCell Line, TumorDNA-Binding ProteinsFemaleHistone ChaperonesHistonesHumansLigandsMicep300-CBP Transcription FactorsPromoter Regions, GeneticProtein BindingProtein DomainsRepressor ProteinsDNA-Binding ProteinsHistone ChaperonesHistonesLigandsp300-CBP Transcription FactorsRepressor ProteinsSET protein, humanTranscription FactorsTumor Suppressor Protein p53

Identifiers

PMID27626385
PMCPMC5333498
OpenAlexW2518890317

What OpenQuestion holds

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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.