Computational and Structural Biotechnology Journal (Jan 2020)

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

  • Mohit Kumar,
  • Apoorv Pant,
  • Rohit Bansal,
  • Ashutosh Pandey,
  • James Gomes,
  • Kedar Khare,
  • Anurag Singh Rathore,
  • Manidipa Banerjee

Journal volume & issue
Vol. 18
pp. 1458 – 1465

Abstract

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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.

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