Evidence map›Paper›PMID 32576592›Full record

ReviewMolecular & cellular proteomics : MCP2021

Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation.

Daniel G Delafield, Lingjun Li

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. PeerJ · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Mass spectrometry-based structure-specificActa biochimica et biophysica Sinica · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Targeted Glycoproteomics Analysis Using MRM/PRM Approaches.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review
  19. Article
  20. 6-PlexAnalytical chemistry · 2023
    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

2 authors.

Daniel G DelafieldDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA. Electronic address: lingjun.li@wisc.edu.

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATIONU01CA231081 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2020
$1.3M
NCI NIH HHS U01 CA231081NIA NIH HHS R01 AG052324NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

Growing implications of glycosylation in physiological occurrences and human disease have prompted intensive focus on revealing glycomic perturbations through absolute and relative quantification. Empowered by seminal methodologies and increasing capacity for detection, identification, and characterization, the past decade has provided a significant increase in the number of suitable strategies for glycan and glycopeptide quantification. Mass-spectrometry-based strategies for glycomic quantitation have grown to include metabolic incorporation of stable isotopes, deposition of mass difference and mass defect isotopic labels, and isobaric chemical labeling, providing researchers with ample tools for accurate and robust quantitation. Beyond this, workflows have been designed to harness instrument capability for label-free quantification, and numerous software packages have been developed to facilitate reliable spectrum scoring. In this review, we present and highlight the most recent advances in chemical labeling and associated techniques for glycan and glycopeptide quantification.

Indexed as

AnimalsGlycomicsGlycopeptidesHumansPolysaccharidesGlycopeptidesPolysaccharideschemical labelingglycanglycopeptideglycosylationisobaric labelingisotopic labelingmass spectrometrymetabolic labelingposttranslational modificationquantitation

Identifiers

PMID32576592
PMCPMC8724918

What OpenQuestion holds

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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.