Evidence map›Paper›PMID 34282822›Full record

ReviewBiochemical Society transactions2021

The Hitchhiker's guide to glycoproteomics.

Tiago Oliveira, Morten Thaysen-Andersen, Nicolle H Packer, Daniel Kolarich

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. UnderstandingJournal of the American Society for Mass Spectrometry · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. PNGaseF-Generated N-Glycans Adduct onto Peptides in the Gas Phase.Journal of the American Society for Mass Spectrometry · 2025
    Article
  11. Article
  12. Review
  13. Mass spectrometry-based structure-specificActa biochimica et biophysica Sinica · 2024
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    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.

Tiago OliveiraInstitute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia.ORCID 0000-0003-4759-1728
Morten Thaysen-AndersenDepartment of Molecular Sciences, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0001-8327-6843
Nicolle H PackerInstitute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia.ORCID 0000-0002-7532-4021
Daniel KolarichInstitute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia.ORCID 0000-0002-8452-1350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein glycosylation is one of the most common post-translational modifications that are essential for cell function across all domains of life. Changes in glycosylation are considered a hallmark of many diseases, thus making glycoproteins important diagnostic and prognostic biomarker candidates and therapeutic targets. Glycoproteomics, the study of glycans and their carrier proteins in a system-wide context, is becoming a powerful tool in glycobiology that enables the functional analysis of protein glycosylation. This 'Hitchhiker's guide to glycoproteomics' is intended as a starting point for anyone who wants to explore the emerging world of glycoproteomics. The review moves from the techniques that have been developed for the characterisation of single glycoproteins to technologies that may be used for a successful complex glycoproteome characterisation. Examples of the variety of approaches, methodologies, and technologies currently used in the field are given. This review introduces the common strategies to capture glycoprotein-specific and system-wide glycoproteome data from tissues, body fluids, or cells, and a perspective on how integration into a multi-omics workflow enables a deep identification and characterisation of glycoproteins - a class of biomolecules essential in regulating cell function.

Indexed as

GlycoproteinsHumansProteolysisProteomicsGlycoproteinsglycobiologyglycomicsglycoproteomicsmass spectrometrymulti-omicsproteomics

Identifiers

PMID34282822
PMCPMC8421054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.