Evidence map›Paper›PMID 23765987›Full record

ArticleElectrophoresis2013

LC-MS3 quantification of O-glycopeptides in human serum.

Miloslav Sanda, Petr Pompach, Julius Benicky, Radoslav Goldman

Abstract read
In one paragraph

Article in Electrophoresis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Comparison of LC-MSMolecules (Basel, Switzerland) · 2022
    Article
  4. Review
  5. LC-MSMolecules (Basel, Switzerland) · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. 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

4 authors.

Miloslav SandaDepartment of Oncology, Georgetown University, Washington, DC 20057, USA.
Petr Pompach
Julius Benicky
Radoslav Goldman

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Glycans in Hepatocellular CarcinomaR01CA135069 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2009 to 2019
$4.1M
Alliance of Glycobiologists for Detection of CancerU01CA168926 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$2.0M
Basic Cancer Research in Cancer Health DisparitiesU01CA171146 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$1.5M
NCI NIH HHS P30 CA051008NCI NIH HHS P30 CA51008NCI NIH HHS R01 CA135069NCI NIH HHS U01 CA168926NCI NIH HHS U01 CA171146
6 · The paper itself

Abstract

Quantitative analysis of site-specific glycosylation of proteins is a challenging part of glycoproteomic research. Multiple enrichment steps are typically required in the analytical workflows to achieve adequate characterization of the site-specific glycoforms. In spite of recent advances, quantitative workflows need further development. Here, we report a selective and sensitive MS2 followed by further fragmentation in the linear IT-MS analyzer (MS3) multiple reaction monitoring workflow mass spectrometric method for direct analysis of O-glycopeptides in difficult matrix such as serum. Method optimization was performed using two serum glycoproteins, hemopexin (HPX) and sex hormone binding globulin. With the optimized MS3 workflow, we were able to analyze major glycoforms of HPX directly in human serum. Quantification of the minor glycoforms of HPX and glycoforms of sex hormone binding globulin required enrichment of the protein because these analytes were below the sensitivity of the 4000 quadrupole ion trap hybrid mass spectrometer in the complex serum background. In conclusion, we present a quantitative method for site-specific analysis of O-glycosylation with general applicability to mucin-type glycoproteins. Our results document reliable application of the optimized MS3 multiple reaction monitoring workflow to the relative quantification of O-glycosylation microheterogeneity of HPX in human serum. Introduction of isotopically labeled standards would be desirable to achieve absolute quantification of the analytes. The possibility to analyze serum samples directly represents a significant improvement of the quantitative glycopeptide workflows with the potential for use in clinical applications.

Indexed as

Amino Acid SequenceCarbohydrate SequenceChromatography, LiquidGlycopeptidesHemopexinHumansLimit of DetectionLinear ModelsModels, ChemicalMolecular Sequence DataReproducibility of ResultsSensitivity and SpecificitySex Hormone-Binding GlobulinTandem Mass SpectrometryGlycopeptidesHemopexinSex Hormone-Binding GlobulinLC-MS3O-glycosylationQuantification of glycopeptides

Identifiers

PMID23765987
PMCPMC3808000

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.