Evidence map›Paper›PMID 20736408›Full record

ReviewMolecular & cellular proteomics : MCP2011

Mass spectrometry based glycoproteomics--from a proteomics perspective.

Sheng Pan, Ru Chen, Ruedi Aebersold, Teresa A Brentnall

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 269 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Mass Spectrometry for Proteomics-Based Investigation.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Article
  7. SerumJournal of proteome research · 2025
    Article
  8. Temporal and Sex-DependentInternational journal of molecular sciences · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. A Glycoproteomic Approach to Identify Novel Proteoglycans.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. Article

51 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Sheng PanDepartment of Pathology, University of Washington, Seattle, WA 98195, USA. span@u.washington.edu
Ru Chen
Ruedi Aebersold
Teresa A Brentnall
University of Washington · USETH Zurich · CH

Funding

Pancreatic Cancer Protein Biomarkers for Early DetectionR01CA107209 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2006 to 2010
$2.5M
Development of Chronic Pancreatitis BiomarkersR01DK081368 · NIDDK · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2009 to 2010
$1.5M
Protein biomarkers for detection of pancreatic cancerK07CA116296 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2007 to 2011
$650k
Quantitative glycoproteomics for pancreatic cancer studiesK25CA137222 · NCI · UNIVERSITY OF WASHINGTON · PI PAN, SHENG · 2010 to 2014
$612k
NCI NIH HHS K07 CA116296NCI NIH HHS K07CA116296NCI NIH HHS K25 CA137222NCI NIH HHS K25CA137222NCI NIH HHS R01 CA107209NCI NIH HHS R01CA107209NIDDK NIH HHS R01 DK081368NIDDK NIH HHS R01DK081368
6 · The paper itself

Abstract

Glycosylation is one of the most important and common forms of protein post-translational modification that is involved in many physiological functions and biological pathways. Altered glycosylation has been associated with a variety of diseases, including cancer, inflammatory and degenerative diseases. Glycoproteins are becoming important targets for the development of biomarkers for disease diagnosis, prognosis, and therapeutic response to drugs. The emerging technology of glycoproteomics, which focuses on glycoproteome analysis, is increasingly becoming an important tool for biomarker discovery. An in-depth, comprehensive identification of aberrant glycoproteins, and further, quantitative detection of specific glycosylation abnormalities in a complex environment require a concerted approach drawing from a variety of techniques. This report provides an overview of the recent advances in mass spectrometry based glycoproteomic methods and technology, in the context of biomarker discovery and clinical application.

Indexed as

BiomarkersGlycoproteinsGlycosylationHumansMass SpectrometryProteomeProteomicsBiomarkersGlycoproteinsProteome

Identifiers

PMID20736408
PMCPMC3013464
OpenAlexW2022754675

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.