Evidence map›Paper›PMID 31859482›Full record

ArticleAnalytical chemistry2020

Glycans, Glycosite, and Intact Glycopeptide Analysis of N-Linked Glycoproteins Using Liquid Handling Systems.

Shao-Yung Chen, Mingming Dong, Ganglong Yang, Yangying Zhou, David J Clark, T Mamie Lih, Michael Schnaubelt, Zichen Liu, Hui Zhang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Review
  19. 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

9 authors at 1 institution in 1 country.

Shao-Yung ChenDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0001-6720-097X
Mingming DongDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.
Ganglong YangDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0001-5361-7344
Yangying ZhouDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0002-2181-0841
David J ClarkDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0003-0527-8469
T Mamie LihDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0002-5431-3948
Michael SchnaubeltDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.
Zichen LiuDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.
Hui ZhangDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21218 , United States.ORCID 0000-0001-8726-7098
Johns Hopkins University · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA210985
6 · The paper itself

Abstract

Aberrant glycosylation has been shown to associate with disease progression, and with glycoproteins representing the major protein component of biological fluids this makes them attractive targets for disease monitoring. Leveraging glycoproteomic analysis via mass spectrometry (MS) could provide the insight into the altered glycosylation patterns that relate to disease progression. However, investigation of large sample cohorts requires rapid, efficient, and highly reproducible sample preparation. To address the limitation, we developed a high-throughput method for characterizing glycans, glycosites, and intact glycopeptides (IGPs) derived from N-linked glycoproteins. We combined disparate peptide enrichment strategies (i.e., hydrophilic and hydrophobic) and a liquid handling platform allowing for a high throughput and rapid enrichment of IGP in a 96-well plate format. The C18/MAX-Tip workflow reduced sample processing time and facilitated the selective enrichment of IGPs from complex samples. Furthermore, our approach enabled the analysis of deglycosylated peptides and glycans from enriched IGPs following PNGase F digest. Following development and optimization of the C18/MAX-Tip methodology using the standard glycoprotein, fetuin, we investigated normal urine samples to obtain N-linked glycoprotein information. Together, our method enables a high-throughput enrichment of glycan, glycosites, and IGPs from biological samples.

Indexed as

AutomationGlycopeptidesGlycoproteinsGlycosylationHumansPolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryGlycopeptidesGlycoproteinsPolysaccharides

Identifiers

PMID31859482
PMCPMC7331092
OpenAlexW2996444719

What Socratic 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 Socratic graph.