Evidence map›Paper›PMID 26638212›Full record

ReviewGlycoconjugate journal2016

N-glycoprotein macroheterogeneity: biological implications and proteomic characterization.

Lucia F Zacchi, Benjamin L Schulz

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 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single-Molecule Mixture: A Concept in Polymer Science.International journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Principles of SARS-CoV-2 glycosylation.Current opinion in structural biology · 2022
    Review
  19. GANAB andInternational journal of molecular sciences · 2022
    Review
  20. 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

2 authors.

Lucia F ZacchiSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, 4072, Australia.
Benjamin L SchulzSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, 4072, Australia. b.schulz@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosylation is a co- and post-translational modification that is critical for the regulation of the biophysical properties and biological activities of diverse proteins. Biosynthetic pathways for protein glycosylation are inherently inefficient, resulting in high structural diversity in mature glycoproteins. Macroheterogeneity is the structural diversity due to the presence or absence of glycans at specific glycosylation sites, and is caused by inefficiency in the initial transfer of glycans to proteins. Here, we review the enzymatic and evolutionary mechanisms controlling macroheterogeneity, its biological consequences in physiological and disease states, its relevance to heterologous production and glycoengineering of glycoproteins, and mass spectrometry based methods for its analysis. We highlight the importance of the analysis of macroheterogeneity for a complete understanding of glycoprotein biosynthesis and function, and emphasize how advances in mass spectrometry glycoproteomics will enable analysis of this critical facet of glycoprotein structural diversity.

Indexed as

Protein Processing, Post-TranslationalAnimalsGlycoproteinsGlycosylationHumansMass SpectrometryProteomeGlycoproteinsProteomeGlycoproteinGlycoproteomicsGlycosylationMacroheterogeneityMass spectrometry

Identifiers

What OpenQuestion holds

Textmetadata
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.