Evidence map›Paper›PMID 29207246›Full record

ArticleJournal of proteome research2018

Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer.

Suzanne Miyamoto, Carol D Stroble, Sandra Taylor, Qiuting Hong, Carlito B Lebrilla, Gary S Leiserowitz, Kyoungmi Kim, L Renee Ruhaak

Abstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 43 citations in OpenAlex.

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  11. ACS omega · 2022
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  20. Distribution ofFrontiers in immunology · 2020
    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

8 authors at 3 institutions in 2 countries.

Suzanne MiyamotoUC Davis Cancer Center , Sacramento, California 95817, United States.ORCID 0000-0001-8672-4082
Carol D StrobleUC Davis Cancer Center , Sacramento, California 95817, United States.
Sandra TaylorDivision of Biostatistics, Department of Public Health Sciences, University of California , Davis, California 95616, United States.
Qiuting HongDepartment of Chemistry, University of California , Davis, California 95616, United States.
Carlito B LebrillaDepartment of Chemistry, University of California , Davis, California 95616, United States.
Gary S LeiserowitzDivision of Gynecologic Oncology, UC Davis Medical Center , Sacramento, California 95817, United States.
Kyoungmi KimDivision of Biostatistics, Department of Public Health Sciences, University of California , Davis, California 95616, United States.
L Renee RuhaakDepartment of Chemistry, University of California , Davis, California 95616, United States.ORCID 0000-0003-3737-3807
University of California, Davis · USUniversity of California Davis Medical Center · USLeiden University Medical Center · NL

Funding

The incorporation of human milk oligosaccharides in brain glycoconjugatesR01GM049077 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LEBRILLA, CARLITO B · 1999 to 2024
$6.3M
NIGMS NIH HHS R01 GM049077
6 · The paper itself

Abstract

Protein glycosylation fingerprints are widely recognized as potential markers for disease states, and indeed differential glycosylation has been identified in multiple types of autoimmune diseases and several types of cancer. However, releasing the glycans leave the glycoproteins unknown; therefore, there exists a need for high-throughput methods that allow quantification of site- and protein-specific glycosylation patterns from complex biological mixtures. In this study, a targeted multiple reaction monitoring (MRM)-based method for the protein- and site-specific quantitation involving serum proteins immunoglobulins A, G and M, alpha-1-antitrypsin, transferrin, alpha-2-macroglobulin, haptoglobin, alpha-1-acid glycoprotein and complement C3 was developed. The method is based on tryptic digestion of serum glycoproteins, followed by immediate reverse phase UPLC-QQQ-MS analysis of glycopeptides. To quantitate protein glycosylation independent of the protein serum concentration, a nonglycosylated peptide was also monitored. Using this strategy, 178 glycopeptides and 18 peptides from serum glycoproteins are analyzed with good repeatability (interday CVs of 3.65-21-92%) in a single 17 min run. To assess the potential of the method, protein glycosylation was analyzed in serum samples from ovarian cancer patients and controls. A training set consisting of 40 cases and 40 controls was analyzed, and differential analyses were performed to identify aberrant glycopeptide levels. All findings were validated in an independent test set (n = 44 cases and n = 44 controls). In addition to the differential glycosylation on the immunoglobulins, which was reported previously, aberrant glycosylation was also observed on each of the glycoproteins, which could be corroborated in the test set. This report shows the development of a method for targeted protein- and site-specific glycosylation analysis and the potential of such methods in biomarker development.

Indexed as

GlycosylationCase-Control StudiesFemaleGlycoproteinsHumansOvarian NeoplasmsPeptide MappingReproducibility of ResultsTrypsinGlycoproteinsTrypsinbiomarker discoveryepithelial ovarian cancerglycopeptidesLC-MRM-MSprotein glycosylationprotein quantitationserum

Identifiers

PMID29207246
PMCPMC6203861
OpenAlexW2775067566

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.