Evidence map›Paper›PMID 32390308›Full record

ArticleBiotechnology progress2020

Highly sensitive HPLC analysis and biophysical characterization of N-glycans of IgG-Fc domain in comparison between CHO and 293 cells using FcγRIIIa ligand.

Hirofumi Kosuge, Satoru Nagatoishi, Masato Kiyoshi, Akiko Ishii-Watabe, Toru Tanaka, Yosuke Terao, Seigo Oe, Teruhiko Ide, Kouhei Tsumoto

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology progress, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Codon optimization regulates IgG3 and IgM expression and glycosylation inFrontiers in bioengineering and biotechnology · 2023
    Article
  7. Article
  8. 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

9 authors at 4 institutions in 1 country.

Hirofumi KosugeSchool of Engineering, The University of Tokyo, Tokyo, Japan.
Satoru NagatoishiThe Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0794-3963
Masato KiyoshiDivision of Biological Chemistry and Biologicals, National Institute of Health Sciences, Kanagawa, Japan.ORCID 0000-0002-5969-8138
Akiko Ishii-WatabeDivision of Biological Chemistry and Biologicals, National Institute of Health Sciences, Kanagawa, Japan.
Toru TanakaTosoh Corporation, Kanagawa, Japan.
Yosuke TeraoTosoh Corporation, Kanagawa, Japan.
Seigo OeTosoh Corporation, Kanagawa, Japan.
Teruhiko IdeTosoh Corporation, Kanagawa, Japan.
Kouhei TsumotoSchool of Engineering, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7643-5164
Tosoh (Japan) · JPNational Institute of Health Sciences · JPTokyo Medical University · JPThe University of Tokyo · JP

Funding

Japan Society for the Promotion of Science 16H02420Japan Society for the Promotion of Science 18H02082
6 · The paper itself

Abstract

Quality control of monoclonal antibodies is challenging due in part to the diversity of post-translational modifications present. The regulation of the N-glycans of IgG-Fc domain is one of the key factors to maintain the safety and efficacy of antibody drugs. The FcγRIIIa affinity column is an attractive tool for the precise analysis of the N-glycans in IgG-Fc domain. We used the mutant FcγRIIIa, which is produced in Escherichia coli and is therefore not glycosylated, as an affinity reagent to analyze the N-glycans of monoclonal antibodies expressed in Expi293 and ExpiCHO cells. The monoclonal antibodies expressed in these cells showed very different chromatograms, because of differences in terminal galactose residues on the IgG-Fc domains. We also carried out kinetic and thermodynamic analyses to understand the interaction between monoclonal antibodies and the mutant FcγRIIIa. Expi293 cell-derived monoclonal antibodies had higher affinity for the mutant FcγRIIIa than those derived from ExpiCHO cells, due to slower off rates and lower binding entropy loss. Collectively, our results suggest that the FcγRIIIa column can be used to analyze the glycosylation of antibodies rapidly and specifically.

Indexed as

AnimalsAntibodies, MonoclonalCHO CellsChromatography, High Pressure LiquidCricetinaeCricetulusGalactoseGlycosylationHEK293 CellsHumansImmunoglobulin Fc FragmentsImmunoglobulin GLigandsPolysaccharidesProtein Processing, Post-TranslationalReceptors, IgGAntibodies, MonoclonalFCGR3A protein, humanGalactoseImmunoglobulin Fc FragmentsImmunoglobulin GLigandsPolysaccharidesReceptors, IgGantibody drugFcγRIIIa columngalactosylationmonoclonal antibodyN-glycosylation

Identifiers

PMID32390308
PMCPMC7757244
OpenAlexW3021385811

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.