Evidence map›Paper›PMID 23325767›Full record

ReviewMolecular & cellular proteomics : MCP2013

Quantitative glycomics strategies.

Yehia Mechref, Yunli Hu, Janie L Desantos-Garcia, Ahmed Hussein, Haixu Tang

Open access · hybridAbstract 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.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
  2. Article
  3. PeerJ · 2026
    Review
  4. Materiobiology in the omics era.Materials today. Bio · 2025
    Review
  5. Analysis Strategy for Identifying theMolecules (Basel, Switzerland) · 2025
    Article
  6. Review
  7. Review
  8. SerumBiomolecules · 2024
    Article
  9. Journal of proteome research · 2024
    Article
  10. High-Throughput Mass Spectrometry Analysis ofJournal of proteome research · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
  18. Article
  19. AlteredBiomolecules · 2021
    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

5 authors at 2 institutions in 1 country.

Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, USA. yehia.mechref@ttu.edu
Yunli Hu
Janie L Desantos-Garcia
Ahmed Hussein
Haixu Tang
Texas Tech University · USIndiana University Bloomington · US

Funding

Developing high-throughput IMS-MS and IMS-IMS-MS techniques for glycomics analysiR01GM093322 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI CLEMMER, DAVID E., MECHREF, YEHIA · 2010 to 2013
$1.1M
NIGMS NIH HHS 5R01GM93322-2NIGMS NIH HHS R01 GM093322
6 · The paper itself

Abstract

The correlations between protein glycosylation and many biological processes and diseases are increasing the demand for quantitative glycomics strategies enabling sensitive monitoring of changes in the abundance and structure of glycans. This is currently attained through multiple strategies employing several analytical techniques such as capillary electrophoresis, liquid chromatography, and mass spectrometry. The detection and quantification of glycans often involve labeling with ionic and/or hydrophobic reagents. This step is needed in order to enhance detection in spectroscopic and mass spectrometric measurements. Recently, labeling with stable isotopic reagents has also been presented as a very viable strategy enabling relative quantitation. The different strategies available for reliable and sensitive quantitative glycomics are herein described and discussed.

Indexed as

Protein Processing, Post-TranslationalAnimalsCarbohydrate ConformationCarbohydrate SequenceChromatography, LiquidElectrophoresis, CapillaryGlycomicsGlycoproteinsGlycosylationHumansMass SpectrometryMolecular Sequence DataPolysaccharidesProteomicsSpectrometry, FluorescenceStaining and LabelingGlycoproteinsPolysaccharides

Identifiers

PMID23325767
PMCPMC3617334
OpenAlexW2133446058

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.