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

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...

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Detalles Bibliográficos
Autores principales: Kumar, Mohit, Pant, Apoorv, Bansal, Rohit, Pandey, Ashutosh, Gomes, James, Khare, Kedar, Singh Rathore, Anurag, Banerjee, Manidipa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327430/
https://www.ncbi.nlm.nih.gov/pubmed/32637043
http://dx.doi.org/10.1016/j.csbj.2020.06.009
Descripción
Sumario: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.