Evidence map›Paper›PMID 25641834›Full record

ArticleProteomics2015

Engineered bromodomains to explore the acetylproteome.

Bryan D Bryson, Amanda M Del Rosario, Jonathan S Gootenberg, Michael B Yaffe, Forest M White

Abstract read
In one paragraph

Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Building a KATalogue of acetyllysine targeting and function.Briefings in functional genomics · 2016
    Review
  5. Review
  6. SPOTing Acetyl-Lysine Dependent Interactions.Microarrays (Basel, Switzerland) · 2015
    Article
  7. Review
  8. Article
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

5 authors.

Bryan D BrysonDepartment of Biological Engineering, MIT, Cambridge, MA, USA; David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.
Amanda M Del Rosario
Jonathan S Gootenberg
Michael B Yaffe
Forest M White

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
Vanderbilt Proteome Characterization CenterU24CA159988 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LIEBLER, DANIEL C · 2011 to 2016
$13.9M
Engineered Antibody EGFR Antagonist Cancer TherapeuticsR01CA096504 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 2002 to 2017
$9.7M
Systems Biology of Insulin ResistanceR24DK090963 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DAVIS, ROGER J. · 2011 to 2014
$8.4M
Protein Kinase Signaling and Cell Cycle ControlR01ES015339 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 2007 to 2017
$4.3M
Modeling human phosphorylation networks through kinome-wide profilingR01GM104047 · NIGMS · YALE UNIVERSITY · PI TURK, BENJAMIN E, YAFFE, MICHAEL B · 2013 to 2017
$2.4M
Quantitative Analysis of Epidermal Growth Factor Receptor Signaling NetworksR01CA118705 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WHITE, FOREST M · 2008 to 2012
$1.8M
NCI NIH HHS P30 CA014051NCI NIH HHS P30CA14051NCI NIH HHS R01 CA096504NCI NIH HHS R01 CA118705NCI NIH HHS R01CA118705NCI NIH HHS U24 CA159988NCI NIH HHS U24CA159988NCI NIH HHS U54 CA112967NCI NIH HHS U54CA112967NIDDK NIH HHS R24 DK090963NIDDK NIH HHS R24DK090963NIEHS NIH HHS P30 ES002109NIEHS NIH HHS R01 ES015339NIEHS NIH HHS R01ES015339NIGMS NIH HHS R01 GM104047
6 · The paper itself

Abstract

MS-based analysis of the acetylproteome has highlighted a role for acetylation in a wide array of biological processes including gene regulation, metabolism, and cellular signaling. To date, anti-acetyllysine antibodies have been used as the predominant affinity reagent for enrichment of acetyllysine-containing peptides and proteins; however, these reagents suffer from high nonspecific binding and lot-to-lot variability. Bromodomains represent potential affinity reagents for acetylated proteins and peptides, given their natural role in recognition of acetylated sequence motifs in vivo. To evaluate their efficacy, we generated recombinant proteins representing all known yeast bromodomains. Bromodomain specificity for acetylated peptides was determined using degenerate peptide arrays, leading to the observation that different bromodomains display a wide array of binding specificities. Despite their relatively weak affinity, we demonstrate the ability of selected bromodomains to enrich acetylated peptides from a complex biological mixture prior to mass spectrometric analysis. Finally, we demonstrate a method for improving the utility of bromodomain enrichment for MS through engineering novel affinity reagents using combinatorial tandem bromodomain pairs.

Indexed as

Protein EngineeringAcetylationAmino Acid SequenceBromodomain Containing ProteinsDNA-Binding ProteinsHistonesHumansLysineMolecular Sequence DataPeptidesProtein Processing, Post-TranslationalProtein Structure, TertiaryProteomicsRecombinant ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsBDF1 protein, S cerevisiaeBromodomain Containing ProteinsDNA-Binding ProteinsHistonesLysinePeptidesRecombinant ProteinsRSC complex, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsAffinity reagentBromodomainLysine acetylationPosttranslational modificationProtein engineeringTechnology

Identifiers

PMID25641834
PMCPMC4535431

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.