Evidence map›Paper›PMID 27377957›Full record

ArticleAnalytical chemistry2016

Quantitative LC-MS/MS Glycomic Analysis of Biological Samples Using AminoxyTMT.

Shiyue Zhou, Yunli Hu, Lucas Veillon, Sergei I Snovida, John C Rogers, Julian Saba, Yehia Mechref

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. 6-PlexAnalytical chemistry · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Clinically Viable Assay for Monitoring Uromodulin Glycosylation.Journal of the American Society for Mass Spectrometry · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Molecular & cellular proteomics : MCP · 2019
    Article
  19. 8-plex LC-MS/MS Analysis of PermethylatedAnalytical chemistry · 2019
    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

7 authors at 2 institutions in 1 country.

Shiyue ZhouDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Yunli HuDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Lucas VeillonDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Sergei I SnovidaThermo Fisher Scientific, Rockford, Illinois 61102, United States.
John C RogersThermo Fisher Scientific, Rockford, Illinois 61102, United States.
Julian SabaThermo Fisher Scientific, San Jose, California 95134, United States.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Texas Tech University · USThermo Fisher Scientific (United States) · US

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
NIGMS NIH HHS R01 GM112490
6 · The paper itself

Abstract

Protein glycosylation plays an important role in various biological processes, such as modification of protein function, regulation of protein-protein interactions, and control of turnover rates of proteins. Moreover, glycans have been considered as potential biomarkers for many mammalian diseases and development of aberrant glycosylation profiles is an important indicator of the pathology of a disease or cancer. Hence, quantitation is an important aspect of a comprehensive glycomics study. Although numerous MS-based quantitation strategies have been developed in the past several decades, some issues affecting sensitivity and accuracy of quantitation still exist, and the development of more effective quantitation strategies is still required. Aminoxy tandem mass tag (aminoxyTMT) reagents are recently commercialized isobaric tags which enable relative quantitation of up to six different glycan samples simultaneously. In this study, liquid chromatography and mass spectrometry conditions have been optimized to achieve reliable LC-MS/MS quantitative glycomic analysis using aminoxyTMT reagents. Samples were resuspended in 0.2 M sodium chloride solution to promote the formation of sodium adduct precursor ions, which leads to higher MS/MS reporter ion yields. This method was first evaluated with glycans from model glycoproteins and pooled human blood serum samples. The observed variation of reporter ion ratios was generally less than 10% relative to the theoretical ratio. Even for the highly complex minor N-glycans, the variation was still below 15%. This strategy was further applied to the glycomic profiling of N-glycans released from blood serum samples of patients with different esophageal diseases. Our results demonstrate the benefits of utilizing aminoxyTMT reagents for reliable quantitation of biological glycomic samples.

Indexed as

BiomarkersCell Line, TumorChromatography, LiquidEsophageal DiseasesFetuinsGlycomicsGlycoproteinsHumansOximesPiperidinesPolysaccharidesRibonucleasesTandem Mass SpectrometryBiomarkersFetuinsGlycoproteinsOximesPiperidinesPolysaccharidesribonuclease BRibonucleases

Identifiers

PMID27377957
PMCPMC5759044
OpenAlexW2473927860

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.