Evidence map›Paper›PMID 23389047›Full record

ReviewMolecular & cellular proteomics : MCP2013

Glycopeptide analysis, recent developments and applications.

Heather Desaire

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. High-throughput site-specificNational science review · 2023
    Article
  5. Plants (Basel, Switzerland) · 2022
    Review
  6. Article
  7. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. N-glycopeptide Signatures of IgAMolecular & cellular proteomics : MCP · 2019
    Article
  13. Article
  14. ETD-Cleavable Linker for Confident Cross-linked Peptide Identifications.Journal of the American Society for Mass Spectrometry · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Molecular & cellular proteomics : MCP · 2018
    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

1 author.

Heather DesaireDepartment of Chemistry, University of Kansas, Lawrence, Kansas 66045, USA. hdesaire@ku.edu

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
Characterization of PTMs on Env to support HIV vaccine developmentR01AI094797 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2012 to 2015
$1.4M
NIAID NIH HHS R01 AI094797NIAID NIH HHS R01AI094797NIGMS NIH HHS R01 GM103547NIGMS NIH HHS R01GM103547
6 · The paper itself

Abstract

Glycopeptide-based analysis is used to inform researchers about the glycans on one or more proteins. The method's key attractive feature is its ability to link glycosylation information to exact locations (glycosylation sites) on proteins. Numerous applications for glycopeptide analysis are known, and several examples are described herein. The techniques used to characterize glycopeptides are still emerging, and recently, research focused on facilitating aspects of glycopeptide analysis has advanced significantly in the areas of sample preparation, MS fragmentation, and automation of data analysis. These recent developments, described herein, provide the foundation for the growth of glycopeptide analysis as a blossoming field.

Indexed as

Amino Acid SequenceAnimalsCarbohydrate ConformationCarbohydrate SequenceGlycopeptidesGlycosylationHumansMolecular Sequence DataPeptide FragmentsProtein Processing, Post-TranslationalProteomicsTandem Mass SpectrometryGlycopeptidesPeptide Fragments

Identifiers

PMID23389047
PMCPMC3617336

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.