Evidence map›Paper›PMID 32406805›Full record

ReviewExpert review of proteomics2020

Mass spectrometry for the identification and analysis of highly complex glycosylation of therapeutic or pathogenic proteins.

Yukako Ohyama, Kazuki Nakajima, Matthew B Renfrow, Jan Novak, Kazuo Takahashi

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  9. Article
  10. Immunoglobulin A Glycosylation and Its Role in Disease.Experientia supplementum (2012) · 2021
    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

5 authors.

Yukako OhyamaDepartment of Nephrology, Fujita Health University School of Medicine , Toyoake, Japan.
Kazuki NakajimaCenter for Research Promotion and Support, Fujita Health University , Toyoake, Japan.
Matthew B RenfrowDepartments of Biochemistry and Molecular Genetics and Microbiology, University of Alabama at Birmingham , Birmingham, AL, USA.
Jan NovakDepartments of Biochemistry and Molecular Genetics and Microbiology, University of Alabama at Birmingham , Birmingham, AL, USA.
Kazuo TakahashiDepartment of Nephrology, Fujita Health University School of Medicine , Toyoake, Japan.

Funding

Elucidating IgA Nephropathy through Genetic Studies of IgA1 GlycosylationR01DK082753 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GHARAVI, ALI G, NOVAK, JAN · 2009 to 2024
$8.7M
Molecular Basis of Pathogenicity of IgA1-containing Immune ComplexesR01DK078244 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAN NOVAK · 2007 to 2026
$6.0M
Genetics of IgA nephropathy by integrative network-based association studiesR01DK105124 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Krzysztof Kiryluk · 2015 to 2026
$4.8M
Analytical tools for the analysis of clustered O-glycans in clinical samplesR01GM098539 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI RENFROW, MATTHEW B · 2011 to 2019
$2.7M
Pathogenic Autoantibodies with Specificity for Aberrant Glycoproteins: Assessment of a Therapeutic Target in an Autoimmune DiseaseR01AI149431 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GREEN, TODD JASON, NOVAK, JAN · 2020 to 2024
$2.6M
Molecular Basis of Pathogenicity of IgA1-containing Immune ComplexesR56DK078244 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI NOVAK, JAN · 2012 to 2012
$92k
NIAID NIH HHS R01 AI149431NIDDK NIH HHS R01 DK078244NIDDK NIH HHS R01 DK082753NIDDK NIH HHS R01 DK105124NIDDK NIH HHS R56 DK078244NIGMS NIH HHS R01 GM098539
6 · The paper itself

Abstract

introductionProtein glycosylation influences characteristics such as folding, stability, protein interactions, and solubility. Therefore, glycan moieties of therapeutic proteins and proteins that are likely associated with disease pathogenesis should be analyzed in-depth, including glycan heterogeneity and modification sites. Recent advances in analytical methods and instrumentation have enabled comprehensive characterization of highly complex glycosylated proteins. AREA COVERED: The following aspects should be considered when analyzing glycosylated proteins: sample preparation, chromatographic separation, mass spectrometry (MS) and fragmentation methods, and bioinformatics, such as software solutions for data analyses. Notably, analysis of glycoproteins with heavily sialylated glycans or multiple glycosylation sites requires special considerations. Here, we discuss recent methodological advances in MS that provide detailed characterization of heterogeneous glycoproteins. EXPERT OPINION: As characterization of complex glycosylated proteins is still analytically challenging, the function or pathophysiological significance of these proteins is not fully understood. To reproducibly produce desired forms of therapeutic glycoproteins or to fully elucidate disease-specific patterns of protein glycosylation, a highly reproducible and robust analytical platform(s) should be established. In addition to advances in MS instrumentation, optimization of analytical and bioinformatics methods and utilization of glycoprotein/glycopeptide standards is desirable. Ultimately, we envision that an automated high-throughput MS analysis will provide additional power to clinical studies and precision medicine.

Indexed as

AnimalsGlycoproteinsHumansImmunoglobulinsMass SpectrometryProteomicsGlycoproteinsImmunoglobulinserythropoietinFc fusions protein therapeuticsimmunoglobulin glycosylationintravenous immunoglobulin (IVIG)Mucin 1 (MUC-1)N-glycosylationO-glycosylationvirus glycoconjugates

Identifiers

PMID32406805
PMCPMC7372739

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.