Evidence map›Paper›PMID 25541750›Full record

ReviewACS chemical biology2015

Mass spectrometry-based detection and assignment of protein posttranslational modifications.

Sophia Doll, Alma L Burlingame

Abstract readReview
In one paragraph

Review in ACS chemical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

122 citing papers in PubMed, 263 citations in OpenAlex.

  1. Review
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  13. UnderstandingJournal of the American Society for Mass Spectrometry · 2026
    Article
  14. Article
  15. Protein Lactylation in Liver Disease: A Comprehensive Review.Expert reviews in molecular medicine · 2026
    Review
  16. Article
  17. Review
  18. Review
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62 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

2 authors at 1 institution in 2 countries.

Sophia DollDepartment of Pharmaceutical Chemistry, University of California , San Francisco, California 94158-2517, United States.
Alma L Burlingame
University of California, San Francisco · US

Funding

Bio-Organic Biomedical Mass Spectromy ResourceP41GM103481 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURLINGAME, ALMA L · 2012 to 2015
$6.4M
NIGMS NIH HHS 8P41GM103481NIGMS NIH HHS P41 GM103481
6 · The paper itself

Abstract

Recent advances in mass spectrometry (MS)-based proteomics allow the identification and quantitation of thousands of posttranslational modification (PTM) sites in a single experiment. This follows from the development of more effective class enrichment strategies, new high performance instrumentation and bioinformatic algorithms with rigorous scoring strategies. More widespread use of these combined capabilities have led to a vast expansion in our knowledge of the complexity of biological processes mediated by PTMs. The classes most actively pursued include phosphorylation, ubiquitination, O-GlcNAcylation, methylation, and acetylation. Very recently succinylation, SUMOylation, and citrullination have emerged. Among the some 260 000 PTM sites that have been identified in the human proteome thus far, only a few have been assigned to key regulatory and/or other biological roles. Here, we provide an update of MS-based PTM analyses, with a focus on current enrichment strategies coupled with revolutionary advances in high performance MS. Furthermore, we discuss examples of the discovery of recently described biological roles of PTMs and address the challenges of defining site-specific functions.

Indexed as

Protein Processing, Post-TranslationalAnimalsHumansMass SpectrometryProtein TransportProteomicsras ProteinsReceptor Cross-Talkras Proteins

Identifiers

PMID25541750
PMCPMC4301092
OpenAlexW2013743510

What OpenQuestion holds

Textmetadata
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.