Evidence map›Paper›PMID 22892896›Full record

ArticleMolecular bioSystems2012

Large-scale quantitative glycoproteomics analysis of site-specific glycosylation occupancy.

Sheng Pan, Yasuko Tamura, Ru Chen, Damon May, Martin W McIntosh, Teresa A Brentnall

Abstract read
In one paragraph

Article in Molecular bioSystems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Mass spectrometry analysis of intact proteinJournal of Zhejiang University. Science. B · 2024
    Article
  3. Review
  4. Review
  5. Altered glycosylation in pancreatic cancer and beyond.The Journal of experimental medicine · 2022
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Glycoproteomic and glycomic databases.Clinical proteomics · 2014
    Review
  16. 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

6 authors.

Sheng PanDepartment of Medicine, University of Washington, Seattle, WA 98195, USA. shengp@medicine.washington.edu
Yasuko Tamura
Ru Chen
Damon May
Martin W McIntosh
Teresa A Brentnall

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Pancreatic Cancer Protein Biomarkers for Early DetectionR01CA107209 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2006 to 2010
$2.5M
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
Aberrant Glycosylation Signature in Pancreatic CancerR21CA149772 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A, PAN, SHENG · 2011 to 2012
$396k
Pancreatic Juice Biomarker for Pancreatic CancerR21CA161575 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2011 to 2012
$388k
NCI NIH HHS K07 CA116296NCI NIH HHS K07CA116296NCI NIH HHS K25 CA137222NCI NIH HHS K25CA137222NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA107209NCI NIH HHS R01CA107209NCI NIH HHS R21 CA149772NCI NIH HHS R21CA149772NCI NIH HHS R21 CA161575NCI NIH HHS R21CA161575
6 · The paper itself

Abstract

Disease-associated aberrant glycosylation may be protein specific and glycosylation site specific. Quantitative assessment of glycosylation changes at a site-specific molecular level may represent one of the initial steps for systematically revealing the glycosylation abnormalities associated with a disease or biological state. Comparative quantitative profiling of glycoproteome to provide accurate quantification of site-specific glycosylation occupancy has been a challenging task, requiring a concerted approach drawing from a variety of techniques. In this report, we present a quantitative glycoproteomics method that allows global scale identification and comparative quantification of glycosylation site occupancy using mass spectrometry. We further demonstrated this approach by quantitatively characterizing the N-glycoproteome of human pancreas.

Indexed as

GlycoproteinsGlycosylationHumansMass SpectrometryPancreasProteomicsGlycoproteins

Identifiers

PMID22892896
PMCPMC3463725

What OpenQuestion holds

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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.