Evidence map›Paper›PMID 23909558›Full record

ArticleAnalytical chemistry2013

Characterizing O-linked glycopeptides by electron transfer dissociation: fragmentation rules and applications in data analysis.

Zhikai Zhu, Xiaomeng Su, Daniel F Clark, Eden P Go, Heather Desaire

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Optimal Dissociation Methods Differ forJournal of proteome research · 2020
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Proteomics, biomarkers, and HIV-1: A current perspective.Proteomics. Clinical applications · 2016
    Review
  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

5 authors at 1 institution in 1 country.

Zhikai ZhuThe Ralph N. Adams Institute for Bioanalytical Chemistry and Department of Chemistry, University of Kansas, Lawrence, Kansas 66047, USA.
Xiaomeng Su
Daniel F Clark
Eden P Go
Heather Desaire
University of Kansas · US

Funding

Development of a rapid glycosylation profiling system using mass spectrometry datR01GM103547 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2012 to 2017
$1.8M
Development of a rapid glycosylation profiling system using mass spec dataR01RR026061 · NCRR · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2009 to 2011
$935k
NCRR NIH HHS R01 RR026061NCRR NIH HHS R01RR026061NIGMS NIH HHS R01 GM103547
6 · The paper itself

Abstract

Studying protein O-glycosylation remains an analytical challenge. Different from N-linked glycans, the O-glycosylation site is not within a known consensus sequence. Additionally, O-glycans are heterogeneous with numerous potential modification sites. Electron transfer dissociation (ETD) is the method of choice in analyzing these glycopeptides since the glycan side chain remains intact in ETD, and the glycosylation site can be localized on the basis of the c and z fragment ions. Nonetheless, new software is necessary for interpreting O-glycopeptide ETD spectra in order to expedite the analysis workflow. To address the urgent need, we studied the fragmentation of O-glycopeptides in ETD and found useful rules that facilitate their identification. By implementing the rules into an algorithm to score potential assignments against ETD-MS/MS data, we applied the method to glycopeptides generated from various O-glycosylated proteins including mucin, erythropoietin, fetuin, and an HIV envelope protein, 1086.C gp120. The site-specific O-glycopeptide composition was correctly assigned in every case, proving the merits of our method in analyzing glycopeptide ETD data. The algorithm described herein can be easily incorporated into other automated glycomics tools.

Indexed as

Electron TransportAmino Acid SequenceGlycopeptidesHIV Envelope Protein gp120HumansMolecular Sequence DataStatistics as TopicTandem Mass SpectrometryGlycopeptidesHIV Envelope Protein gp120

Identifiers

PMID23909558
PMCPMC3956444
OpenAlexW2038282126

What OpenQuestion holds

Textmetadata
LicenceTDM
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.