Evidence map›Paper›PMID 26612686›Full record

ReviewGlycoconjugate journal2016

A review of methods for interpretation of glycopeptide tandem mass spectral data.

Han Hu, Kshitij Khatri, Joshua Klein, Nancy Leymarie, Joseph Zaia

Abstract readReview
In one paragraph

Review in Glycoconjugate journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Can We BoostJournal of the American Society for Mass Spectrometry · 2024
    Article
  10. Article
  11. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
  12. The Hitchhiker's guide to glycoproteomics.Biochemical Society transactions · 2021
    Review
  13. Article
  14. Review
  15. Review
  16. CE-MS for Proteomics and Intact Protein Analysis.Advances in experimental medicine and biology · 2021
    Article
  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

5 authors.

Han HuCenter for Biomedical Mass Spectrometry, Boston University, Boston, MA, USA.
Kshitij KhatriDepartment of Biochemistry, Boston University, Medical Campus, 670 Albany St., Rm. 509, Boston, MA, 02118, USA.
Joshua KleinCenter for Biomedical Mass Spectrometry, Boston University, Boston, MA, USA.
Nancy LeymarieDepartment of Biochemistry, Boston University, Medical Campus, 670 Albany St., Rm. 509, Boston, MA, 02118, USA.
Joseph ZaiaDepartment of Biochemistry, Boston University, Medical Campus, 670 Albany St., Rm. 509, Boston, MA, 02118, USA. jzaia@bu.edu.

Funding

XI INTERNATIONAL SYMPOSIUM ON AMYLOIDOSISP41RR010888 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 1996 to 2011
$18.6M
Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
NCRR NIH HHS P41 RR010888NIGMS NIH HHS P41 GM104603
6 · The paper itself

Abstract

Despite the publication of several software tools for analysis of glycopeptide tandem mass spectra, there remains a lack of consensus regarding the most effective and appropriate methods. In part, this reflects problems with applying standard methods for proteomics database searching and false discovery rate calculation. While the analysis of small post-translational modifications (PTMs) may be regarded as an extension of proteomics database searching, glycosylation requires specialized approaches. This is because glycans are large and heterogeneous by nature, causing glycopeptides to exist as multiple glycosylated variants. Thus, the mass of the peptide cannot be calculated directly from that of the intact glycopeptide. In addition, the chemical nature of the glycan strongly influences product ion patterns observed for glycopeptides. As a result, glycopeptidomics requires specialized bioinformatics methods. We summarize the recent progress towards a consensus for effective glycopeptide tandem mass spectrometric analysis.

Indexed as

Computational BiologyGlycoproteinsTandem Mass SpectrometryGlycoproteinsBioinformaticsCollisional activated dissociationElectron transfer dissociationGlycopeptideGlycoproteinMass spectrometrySoftware toolTandem mass spectrometry

Identifiers

PMID26612686
PMCPMC4882288

What OpenQuestion holds

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Registered trials

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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.