Evidence map›Paper›PMID 32637043›Full record

ArticleComputational and structural biotechnology journal2020

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

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Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

8 authors.

Mohit KumarKusuma School of Biological Sciences, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Apoorv PantDepartment of Physics, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Rohit BansalDepartment of Chemical Engineering, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Ashutosh PandeyKusuma School of Biological Sciences, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
James GomesKusuma School of Biological Sciences, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Kedar KhareDepartment of Physics, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Anurag Singh RathoreDepartment of Chemical Engineering, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.
Manidipa BanerjeeKusuma School of Biological Sciences, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 110016, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AggregationAntibodiesCD, Circular DichroismConnected component labellingDLS, Dynamic Light ScatteringDPBS, Dulbecco's phosphate-buffered salineElectron microscopyEM, Electron MicroscopyFEG, field emission electron gunGUI, Graphical User InterfaceHDX-MS, Hydrogen Deuterium Exchange Mass SpectroscopyHeterogeneitymAb, monoclonal AntibodyMS, Mass SpectroscopySEC-MALS, Size Exclusion Chromatography Multi Angle Light ScatteringSEC, Size Exclusion ChromatographyTEM, Transmission Electron MicroscopyTV, Total VariationUV, Ultra Violet

Identifiers

PMID32637043
PMCPMC7327430

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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.