Evidence map›Paper›PMID 27007620›Full record

ReviewGlycoconjugate journal2016

A case for protein-level and site-level specificity in glycoproteomic studies of disease.

Katherine N Schumacher, Eric D Dodds

Abstract readReview
PubMed Publisher
In one paragraph

Review in Glycoconjugate journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Linkage Memory in Underivatized Protonated Carbohydrates.Journal of the American Society for Mass Spectrometry · 2021
    Article
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  3. Article
  4. Review
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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.

Katherine N SchumacherDepartment of Chemistry, University of Nebraska - Lincoln, 711 Hamilton Hall, Lincoln, NE, 68588-0304, USA.
Eric D DoddsDepartment of Chemistry, University of Nebraska - Lincoln, 711 Hamilton Hall, Lincoln, NE, 68588-0304, USA. edodds2@unl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal glycosylation of proteins is known to be either resultant or causative of a variety of diseases. This makes glycoproteins appealing targets as potential biomarkers and focal points of molecular studies on the development and progression of human ailment. To date, a majority of efforts in disease glycoproteomics have tended to center on either determining the concentration of a given glycoprotein, or on profiling the total population of glycans released from a mixture of glycoproteins. While these approaches have demonstrated some diagnostic potential, they are inherently insensitive to the fine molecular detail which distinguishes unique and possibly disease relevant glycoforms of specific proteins. As a consequence, such analyses can be of limited sensitivity, specificity, and accuracy because they do not comprehensively consider the glycosylation status of any particular glycoprotein, or of any particular glycosylation site. Therefore, significant opportunities exist to improve glycoproteomic inquiry into disease by engaging in these studies at the level of individual glycoproteins and their exact loci of glycosylation. In this concise review, the rationale for glycoprotein and glycosylation site specificity is developed in the context of human disease glycoproteomics with an emphasis on N-glycosylation. Recent examples highlighting disease-related perturbations in glycosylation will be presented, including those involving alterations in the overall glycosylation of a specific protein, alterations in the occupancy of a given glycosylation site, and alterations in the compositional heterogeneity of glycans occurring at a given glycosylation site. Each will be discussed with particular emphasis on how protein-specific and site-specific approaches can contribute to improved discrimination between glycoproteomes and glycoproteins associated with healthy and unhealthy states.

Indexed as

Protein Processing, Post-TranslationalBiomarkersGlycomicsGlycoproteinsGlycosylationHumansMetabolic DiseasesPolysaccharidesProteomicsBiomarkersGlycoproteinsPolysaccharidesDiseaseGlycomicsGlycoproteomicsGlycosylation site occupancyMicroheterogeneityProtein glycoformsReleased glycan profilingSite-specific glycosylation

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Registered trials

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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.