Evidence map›Paper›PMID 22595789›Full record

ReviewMolecular & cellular proteomics : MCP2012

Peptide identification by tandem mass spectrometry with alternate fragmentation modes.

Adrian Guthals, Nuno Bandeira

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Synergistic Arg-C Ultra and Lys-C Digestion for Quantitative Proteomics.bioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Research Progress on Mono-ADP-Ribosyltransferases in Human Cell Biology.Frontiers in cell and developmental biology · 2022
    Review
  6. Active Peptide AR-9 FromFrontiers in pharmacology · 2022
    Article
  7. CE-MS for Proteomics and Intact Protein Analysis.Advances in experimental medicine and biology · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. De Novo MS/MS Sequencing of Native Human Antibodies.Journal of proteome research · 2017
    Article
  14. Review
  15. The generating function approach for Peptide identification in spectral networks.Journal of computational biology : a journal of computational molecular cell biology · 2015
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Adrian GuthalsDepartment of Computer Science and Engineering, University of California, San Diego, California, USA.
Nuno Bandeira

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
NCRR NIH HHS 1-P41-RR024851NCRR NIH HHS P41 RR024851NIGMS NIH HHS P41 GM103484
6 · The paper itself

Abstract

The high-throughput nature of proteomics mass spectrometry is enabled by a productive combination of data acquisition protocols and the computational tools used to interpret the resulting spectra. One of the key components in mainstream protocols is the generation of tandem mass (MS/MS) spectra by peptide fragmentation using collision induced dissociation, the approach currently used in the large majority of proteomics experiments to routinely identify hundreds to thousands of proteins from single mass spectrometry runs. Complementary to these, alternative peptide fragmentation methods such as electron capture/transfer dissociation and higher-energy collision dissociation have consistently achieved significant improvements in the identification of certain classes of peptides, proteins, and post-translational modifications. Recognizing these advantages, mass spectrometry instruments now conveniently support fine-tuned methods that automatically alternate between peptide fragmentation modes for either different types of peptides or for acquisition of multiple MS/MS spectra from each peptide. But although these developments have the potential to substantially improve peptide identification, their routine application requires corresponding adjustments to the software tools and procedures used for automated downstream processing. This review discusses the computational implications of alternative and alternate modes of MS/MS peptide fragmentation and addresses some practical aspects of using such protocols for identification of peptides and post-translational modifications.

Indexed as

Tandem Mass SpectrometryAmino Acid SequenceMolecular Sequence DataPeptide FragmentsPeptidesProtein Processing, Post-TranslationalProteomicsSoftwarePeptide FragmentsPeptides

Identifiers

PMID22595789
PMCPMC3434779

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.