Literature DB >> 25329604

Monitoring antibody aggregation in early drug development using Raman spectroscopy and perturbation-correlation moving windows.

Ramón Gómez de la Cuesta1, Royston Goodacre, Lorna Ashton.   

Abstract

In this study, we demonstrate the sensitivity of two-dimensional perturbation-correlation moving windows (PCMW) to characterize conformational transitions in antibodies. An understanding of how physiochemical properties affect protein stability and instigate aggregation is essential for the engineering of antibodies. In order to establish the potential of PCMW as a technique for early identification of aggregation mechanisms during antibody development, five antibodies with varying propensity to aggregate were compared. Raman spectra were acquired, using a 532 nm excitation wavelength as the protein samples were heated from 56 to 78 °C and analyzed with PCMW. Initial principal component analysis confirmed a trend between the observed spectral variations and increasing temperature for all five samples. Analysis using PCMW revealed that when spectral variations were directly related to temperature, distinct differences in conformational changes could be determined between samples related to protein stability, providing a greater understanding of the aggregation mechanisms of problematic antibody variants.

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Year:  2014        PMID: 25329604     DOI: 10.1021/ac5038329

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

1.  Least Squares Moving-Window Spectral Analysis.

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Journal:  Anal Chim Acta       Date:  2019-07-10       Impact factor: 6.558

3.  Visible Particle Identification Using Raman Spectroscopy and Machine Learning.

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4.  Multi-attribute Raman spectroscopy (MARS) for monitoring product quality attributes in formulated monoclonal antibody therapeutics.

Authors:  Bingchuan Wei; Nicholas Woon; Lu Dai; Raphael Fish; Michelle Tai; Winode Handagama; Ashley Yin; Jia Sun; Andrew Maier; Dana McDaniel; Elvira Kadaub; Jessica Yang; Miguel Saggu; Ann Woys; Oxana Pester; Danny Lambert; Alex Pell; Zhiqi Hao; Gordon Magill; Jack Yim; Jefferson Chan; Lindsay Yang; Frank Macchi; Christian Bell; Galahad Deperalta; Yan Chen
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

  4 in total

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