Evidence map›Paper›PMID 30131559›Full record

ArticleNature communications2018

Direct quality control of glycoengineered erythropoietin variants.

Tomislav Čaval, Weihua Tian, Zhang Yang, Henrik Clausen, Albert J R Heck

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Unveiling the Accurate Site-SpecificAnalytical chemistry · 2025
    Article
  3. Review
  4. AsymmetricJournal of the American Chemical Society · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Uncovering the Role ofJournal of the American Chemical Society · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. An etanercept O-glycovariant with enhanced potency.Molecular therapy. Methods & clinical development · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. 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

5 authors.

Tomislav ČavalBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Science4Life, University of Utrecht, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-2132-1391
Weihua TianCopenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen N, Denmark.ORCID http://orcid.org/0000-0003-2357-3947
Zhang YangCopenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen N, Denmark.ORCID http://orcid.org/0000-0002-4756-5813
Henrik ClausenCopenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen N, Denmark.ORCID http://orcid.org/0000-0002-0915-5055
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Science4Life, University of Utrecht, Padualaan 8, 3584 CH, Utrecht, The Netherlands. A.J.R.Heck@uu.nl.ORCID http://orcid.org/0000-0002-2405-4404

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) DNRF107EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) 668036EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) 686547Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 718.015.003
6 · The paper itself

Abstract

Recombinant production of glycoprotein therapeutics like erythropoietin (EPO) in mammalian CHO cells rely on the heterogeneous N-glycosylation capacity of the cell. Recently, approaches for engineering the glycosylation capacities of mammalian cells for custom designed glycoforms have been developed. With these opportunities there is an increasing need for fast, sensitive, and global analysis of the glycoproteoform landscape produced to evaluate homogeneity and consistency. Here we use high-resolution native mass spectrometry to measure the glycoproteoform profile of 24 glycoengineered variants of EPO. Based on the unique mass and intensity profiles of each variant, we classify them according to similarities in glycosylation profiles. The classification distinguishes EPO variants with varying levels of glycan branchingand sialylation, which are crucial parameters in biotherapeutic efficacy. We propose that our methods could be of great benefit in the characterization of other glycosylated biopharmaceuticals, ranging from the initial clonal selection to batch-to-batch controls, and the assessment of similarity between biosimilar/biobetter products.

Indexed as

AnimalsCHO CellsCluster AnalysisCricetinaeCricetulusErythropoietinGlycosylationHumansMutationN-Acetylneuraminic AcidPolysaccharidesProtein EngineeringQuality ControlSialyltransferasesErythropoietinN-Acetylneuraminic AcidPolysaccharidesSialyltransferases

Identifiers

PMID30131559
PMCPMC6104044

What OpenQuestion holds

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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.