Evidence map›Paper›PMID 23347405›Full record

ArticleJournal of proteome research2013

Unambiguous phosphosite localization using electron-transfer/higher-energy collision dissociation (EThcD).

Christian K Frese, Houjiang Zhou, Thomas Taus, A F Maarten Altelaar, Karl Mechtler, Albert J R Heck, Shabaz Mohammed

Abstract read
In one paragraph

Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

  1. Review
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  10. Enhanced Sample Multiplexing-Based Targeted Proteomics with Intelligent Data Acquisition.Journal of the American Society for Mass Spectrometry · 2024
    Article
  11. Review
  12. Review
  13. Mass Spectrometric De Novo Sequencing of Natural Peptides.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Research Progress on Mono-ADP-Ribosyltransferases in Human Cell Biology.Frontiers in cell and developmental biology · 2022
    Review
  20. Review

26 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

7 authors.

Christian K FreseBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
Houjiang Zhou
Thomas Taus
A F Maarten Altelaar
Karl Mechtler
Albert J R Heck
Shabaz Mohammed

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently introduced a novel scheme combining electron-transfer and higher-energy collision dissociation (termed EThcD), for improved peptide ion fragmentation and identification. We reasoned that phosphosite localization, one of the major hurdles in high-throughput phosphoproteomics, could also highly benefit from the generation of such EThcD spectra. Here, we systematically assessed the impact on phosphosite localization utilizing EThcD in comparison to methods employing either ETD or HCD, respectively, using a defined synthetic phosphopeptide mixture and also using a larger data set of Ti(4+)-IMAC enriched phosphopeptides from a tryptic human cell line digest. In combination with a modified version of phosphoRS, we observed that in the majority of cases EThcD generated richer and more confidently identified spectra, resulting in superior phosphosite localization scores. Our data demonstrates the distinctive potential of EThcD for PTM localization, also beyond protein phosphorylation.

Indexed as

Electron TransportHeLa CellsHumansMass SpectrometryPhosphorylation

Identifiers

PMID23347405
PMCPMC3588588

What OpenQuestion holds

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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.