Evidence map›Paper›PMID 32123597›Full record

ArticleJournal of pharmaceutical analysis2020

Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies.

Sara Carillo, Raquel Pérez-Robles, Craig Jakes, Meire Ribeiro da Silva, Silvia Millán Martín, Amy Farrell, Natalia Navas, Jonathan Bones

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

8 authors at 4 institutions in 2 countries.

Sara CarilloCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
Raquel Pérez-RoblesDepartment of Analytical Chemistry, Biohealth Research Institute (ibs.GRANADA), University of Granada, Granada, Spain.
Craig JakesCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
Meire Ribeiro da SilvaCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
Silvia Millán MartínCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
Amy FarrellCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
Natalia NavasDepartment of Analytical Chemistry, Biohealth Research Institute (ibs.GRANADA), University of Granada, Granada, Spain.
Jonathan BonesCharacterisation and Comparability Laboratory, NIBRT - the National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
National Institute for Bioprocessing Research and Training · IEInstituto de Investigación Biosanitaria de Granada · ESUniversidad de Granada · ESUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the size of the biopharmaceutical market exponentially increasing, there is an aligned growth in the importance of data-rich analyses, not only to assess drug product safety but also to assist drug development driven by the deeper understanding of structure/function relationships. In monoclonal antibodies, many functions are regulated by N-glycans present in the constant region of the heavy chains and their mechanisms of action are not completely known. The importance of their function focuses analytical research efforts on the development of robust, accurate and fast methods to support drug development and quality control. Released N-glycan analysis is considered as the gold standard for glycosylation characterisation; however, it is not the only method for quantitative analysis of glycoform heterogeneity. In this study, ten different analytical workflows for N-glycan analysis were compared using four monoclonal antibodies. While observing good comparability between the quantitative results generated, it was possible to appreciate the advantages and disadvantages of each technique and to summarise all the observations to guide the choice of the most appropriate analytical workflow according to application and the desired depth of data generated.

Indexed as

BiopharmaceuticalsGlycan analysisGlycopeptide analysisIntact mass analysisMass spectrometryMonoclonal antibodiesNative mass spectrometryN-GlycansPeptide mapping

Identifiers

PMID32123597
PMCPMC7037591
OpenAlexW2989927655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.