Evidence map›Paper›PMID 26918373›Full record

ArticlemAbs2016

The use of lectin microarray for assessing glycosylation of therapeutic proteins.

Lei Zhang, Shen Luo, Baolin Zhang

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  10. Article
  11. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  12. Article
  13. Plant lectins as prospective antiviral biomolecules in the search for COVID-19 eradication strategies.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  14. Article
  15. Review
  16. Review
  17. Review
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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

3 authors at 1 institution in 1 country.

Lei Zhanga Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration , Silver Spring , MD , USA.
Shen Luoa Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration , Silver Spring , MD , USA.
Baolin Zhanga Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration , Silver Spring , MD , USA.
Center for Drug Evaluation and Research · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Glycans or carbohydrates attached to therapeutic glycoproteins can directly affect product quality, safety and efficacy, and therefore must be adequately analyzed and controlled throughout product life cycles. However, the complexity of protein glycosylation poses a daunting analytical challenge. In this study, we evaluated the utility of a lectin microarray for assessing protein glycans. Using commercial lectin chips, which contain 45 lectins toward distinct glycan structures, we were able to determine the lectin binding patterns of a panel of 15 therapeutic proteins, including 8 monoclonal antibodies. Lectin binding signals were analyzed to generate glycan profiles that were generally consistent with the known glycan patterns for these glycoproteins. In particular, the lectin-based microarray was found to be highly sensitive to variations in the terminal carbohydrate structures such as galactose versus sialic acid epitopes. These data suggest that lectin microarray could be used for screening glycan patterns of therapeutic glycoproteins.

Indexed as

Antibodies, MonoclonalGlycosylationHumansLectinsProtein Array AnalysisAntibodies, MonoclonalLectinsGlycan analysislectin microarraymonoclonal antibodiestherapeutic glycoproteins

Identifiers

PMID26918373
PMCPMC4966825
OpenAlexW2289990939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.