Evidence map›Paper›PMID 30203847›Full record

ReviewElectrophoresis2018

Advances in mass spectrometry-based glycoproteomics.

Aiying Yu, Jingfu Zhao, Wenjing Peng, Alireza Banazadeh, Seth D Williamson, Mona Goli, Yifan Huang, Yehia Mechref

Abstract readReview
In one paragraph

Review in Electrophoresis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
  7. Article
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  11. Article
  12. Review
  13. Review
  14. Article
  15. Evaluation of absorbent cotton for glycopeptide enrichment.Analytical and bioanalytical chemistry · 2022
    Article
  16. Article
  17. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  18. Article
  19. Article
  20. 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

8 authors.

Aiying YuDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Jingfu ZhaoDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Wenjing PengDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Alireza BanazadehDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Seth D WilliamsonDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Mona GoliDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Yifan HuangDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.ORCID 0000-0002-6661-6073

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
Quantitative Characterization of Glycopeptide IsomersR01GM130091 · NIGMS · TEXAS TECH UNIVERSITY · PI Yehia Mechref · 2019 to 2026
$2.5M
Screening of Glycan Markers in Serum for Early Detection of HCC in Different Etiologies of DiseaseU01CA225753 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M., MECHREF, YEHIA · 2018 to 2021
$2.0M
NCI NIH HHS U01 CA225753NIGMS NIH HHS R01 GM112490NIGMS NIH HHS R01 GM130091
6 · The paper itself

Abstract

Protein glycosylation, an important PTM, plays an essential role in a wide range of biological processes such as immune response, intercellular signaling, inflammation, and host-pathogen interaction. Aberrant glycosylation has been correlated with various diseases. However, studying protein glycosylation remains challenging because of low abundance, microheterogeneities of glycosylation sites, and poor ionization efficiency of glycopeptides. Therefore, the development of sensitive and accurate approaches to characterize protein glycosylation is crucial. The identification and characterization of protein glycosylation by MS is referred to as the field of glycoproteomics. Methods such as enrichment, metabolic labeling, and derivatization of glycopeptides in conjunction with different MS techniques and bioinformatics tools, have been developed to achieve an unequivocal quantitative and qualitative characterization of glycoproteins. This review summarizes the recent developments in the field of glycoproteomics over the past 6 years (2012 to 2018).

Indexed as

AnimalsGlycopeptidesGlycoproteinsGlycosylationHumansMass SpectrometryMiceProteomicsGlycopeptidesGlycoproteinsDerivatizationEnrichmentGlycoproteinsGlycosylationMetabolic labeling

Identifiers

PMID30203847
PMCPMC6375712

What OpenQuestion holds

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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.