Evidence map›Paper›PMID 35099083›Full record

ReviewMass spectrometry reviews2023

Methods for quantification of glycopeptides by liquid separation and mass spectrometry.

Haidi Yin, Jianhui Zhu

Open access · greenAbstract readReview
In one paragraph

Review in Mass spectrometry reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  5. Analysis ofACS omega · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Analytical and bioanalytical chemistry · 2024
    Article
  11. Review
  12. Review
  13. Review
  14. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review
  15. Article
  16. Review
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 at 2 institutions in 2 countries.

Haidi YinMulti-omics Mass Spectrometry Core Facility, Shenzhen Bay Laboratory, Shenzhen, Guangdong, China.
Jianhui ZhuDepartment of Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Shenzhen Bay Laboratory · CNUniversity of Michigan–Ann Arbor · US

Funding

Discovery and Validation of Biomarkers for Early Cancer Detection Using Mass SpectrometryR50CA221808 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, JIANHUI · 2018 to 2020
$189k
NCI NIH HHS R50 CA221808
6 · The paper itself

Abstract

Recent advances in analytical techniques provide the opportunity to quantify even low-abundance glycopeptides derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Herein, we discuss the sample preparation procedures and the mass spectrometry (MS) strategies that have facilitated glycopeptide quantification, as well as the standards used for glycopeptide quantification. For sample preparation, various glycopeptide enrichment methods are summarized including the columns used for glycopeptide separation in liquid chromatography separation. For MS analysis strategies, MS1 level-based quantification and MS2 level-based quantification are described, either with or without labeling, where we have covered isotope labeling, TMT/iTRAQ labeling, data dependent acquisition, data independent acquisition, multiple reaction monitoring, and parallel reaction monitoring. The strengths and weaknesses of these methods are compared, particularly those associated with the figures of merit that are important for clinical biomarker studies and the pathological and functional studies of glycoproteins in various diseases. Possible future developments for glycopeptide quantification are discussed.

Indexed as

GlycopeptidesGlycoproteinsChromatography, LiquidGlycosylationMass SpectrometryGlycopeptidesGlycoproteins

Identifiers

PMID35099083
PMCPMC9339036
OpenAlexW4210533661

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.