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Electron microscopy-based semi-automated characterization of aggregation in monoclonal antibody products

Authors :
Mohit Kumar
James Gomes
Ashutosh Pandey
Manidipa Banerjee
Kedar Khare
Rohit Bansal
Apoorv Pant
Anurag S. Rathore
Source :
Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1458-1465 (2020)
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Graphical abstract<br />Highlights • Size-based quantification of small heterogeneous proteins using electron microscopy. • Electron microscopy as an orthogonal tool for characterizing protein aggregates. • Quick assessment of small heterogeneous proteins via softEM, a GUI-based algorithm.<br />Aggregation is a critical parameter for protein-based therapeutics, due to its impact on the immunogenicity of the product. The traditional approach towards characterization of such products is to use a collection of orthogonal tools. However, the fact that none of these tools is able to completely classify the distribution and physical characteristics of aggregates, implies that there exists a need for additional analytical methods. We report one such method for characterization of heterogeneous population of proteins using transmission electron microscopy. The method involves semi-automated, size-based clustering of different protein species from micrographs. This method can be utilized for quantitative characterization of heterogeneous populations of antibody/protein aggregates from TEM images of proteins, and may also be applicable towards other instances of protein aggregation.

Details

ISSN :
20010370
Volume :
18
Database :
OpenAIRE
Journal :
Computational and Structural Biotechnology Journal
Accession number :
edsair.doi.dedup.....fb8afa79ca7730a11fb845f93076a98d
Full Text :
https://doi.org/10.1016/j.csbj.2020.06.009