Evidence map›Paper›PMID 35452121›Full record

ArticleGlycobiology2022

Developments and perspectives in high-throughput protein glycomics: enabling the analysis of thousands of samples.

Noortje de Haan, Maja Pučić-Baković, Mislav Novokmet, David Falck, Guinevere Lageveen-Kammeijer, Genadij Razdorov, Frano Vučković, Irena Trbojević-Akmačić, Olga Gornik, Maja Hanić and 3 more

Abstract read
In one paragraph

Article in Glycobiology, 2022. 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. Review
  2. Mass Spectrometric Analysis ofMolecules (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Antibody glycosylation in neuroimmune diseases.Journal of translational medicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Mass spectrometry-based structure-specificActa biochimica et biophysica Sinica · 2024
    Review
  20. Review
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

13 authors.

Noortje de HaanCopenhagen Center for Glycomics, University of Copenhagen, Blegdamsvej 3 Copenhagen 2200, Denmark.ORCID 0000-0001-7026-6750
Maja Pučić-BakovićGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0003-0866-623X
Mislav NovokmetGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0002-7338-2017
David FalckCenter for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands.ORCID 0000-0003-3908-2376
Guinevere Lageveen-KammeijerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands.ORCID 0000-0001-7670-1151
Genadij RazdorovGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0001-6370-8434
Frano VučkovićGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0002-4845-0882
Irena Trbojević-AkmačićGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0003-0106-0155
Olga GornikFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovacica 1, Zagreb 10000, Croatia.ORCID 0000-0002-6157-6252
Maja HanićGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.ORCID 0000-0001-6152-2054
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands.ORCID 0000-0002-0814-4995
Gordan LaucGenos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia.
The Human Glycome Project

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycans expand the structural complexity of proteins by several orders of magnitude, resulting in a tremendous analytical challenge when including them in biomedical research. Recent glycobiological research is painting a picture in which glycans represent a crucial structural and functional component of the majority of proteins, with alternative glycosylation of proteins and lipids being an important regulatory mechanism in many biological and pathological processes. Since interindividual differences in glycosylation are extensive, large studies are needed to map the structures and to understand the role of glycosylation in human (patho)physiology. Driven by these challenges, methods have emerged, which can tackle the complexity of glycosylation in thousands of samples, also known as high-throughput (HT) glycomics. For facile dissemination and implementation of HT glycomics technology, the sample preparation, analysis, as well as data mining, need to be stable over a long period of time (months/years), amenable to automation, and available to non-specialized laboratories. Current HT glycomics methods mainly focus on protein N-glycosylation and allow to extensively characterize this subset of the human glycome in large numbers of various biological samples. The ultimate goal in HT glycomics is to gain better knowledge and understanding of the complete human glycome using methods that are easy to adapt and implement in (basic) biomedical research. Aiming to promote wider use and development of HT glycomics, here, we present currently available, emerging, and prospective methods and some of their applications, revealing a largely unexplored molecular layer of the complexity of life.

Indexed as

GlycomicsProteinsGlycosylationHumansPolysaccharidesPolysaccharidesProteinsglycomicsglycoproteomicshigh-throughputmass spectrometrypopulation studies

Identifiers

PMID35452121
PMCPMC9280525

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.