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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessTechnical Note
Microarrays 2017, 6(1), 1; doi:10.3390/microarrays6010001

Application of Lectin Array Technology for Biobetter Characterization: Its Correlation with FcγRIII Binding and ADCC

1
Vela Labs GmbH, Brunner Str. 69/ Obj. 3, 1230 Vienna, Austria
2
JHL Biotech, Zhubei City, Hsinchu County 302, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Massimo Negrini
Received: 3 October 2016 / Revised: 25 November 2016 / Accepted: 7 December 2016 / Published: 24 December 2016
View Full-Text   |   Download PDF [1551 KB, uploaded 24 December 2016]   |  

Abstract

Lectin microarray technology was applied to compare the glycosylation pattern of the monoclonal antibody MB311 expressed in SP2.0 cells to an antibody-dependent cellular cytotoxic effector function (ADCC)-optimized variant (MB314). MB314 was generated by a plant expression system that uses genetically modified moss protoplasts (Physcomitrella patens) to generate a de-fucosylated version of MB311. In contrast to MB311, no or very low interactions of MB314 with lectins Aspergillus oryzae l-fucose (AOL), Pisum sativum agglutinin (PSA), Lens culinaris agglutinin (LCA), and Aleuria aurantia lectin (AAL) were observed. These lectins are specific for mono-/biantennary N-glycans containing a core fucose residue. Importantly, this fucose indicative lectin-binding pattern correlated with increased MB314 binding to CD16 (FcγRIII; receptor for the constant region of an antibody)—whose affinity is mediated through core fucosylation—and stronger ADCC. In summary, these results demonstrate that lectin microarrays are useful orthogonal methods during antibody development and for characterization. View Full-Text
Keywords: lectin carbohydrates; lectin microarray; glyco-profiling; fucosylation; ADCC; GlycoStation; LecChip; anti-Lewis Y mAb lectin carbohydrates; lectin microarray; glyco-profiling; fucosylation; ADCC; GlycoStation; LecChip; anti-Lewis Y mAb
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Roucka, M.; Zimmermann, K.; Fido, M.; Nechansky, A. Application of Lectin Array Technology for Biobetter Characterization: Its Correlation with FcγRIII Binding and ADCC. Microarrays 2017, 6, 1.

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