Literature DB >> 23481914

Monitoring protein aggregation kinetics with simultaneous multiple sample light scattering.

Michael F Drenski1, Mark L Brader, Roy W Alston, Wayne F Reed.   

Abstract

A simultaneous multiple sample light scattering (SMSLS) prototype instrument was built to simultaneously measure light scattering from many independent monoclonal antibody (mAb) solutions in order to monitor their time-dependent aggregation behavior and to characterize, via absolute Rayleigh scattering ratios, their molecular masses and second, third, and fourth virial coefficients under non-aggregating conditions at concentrations up to 190mg/ml. One stable mAb and another prone to aggregation were studied. Early phase aggregation rates spanned six orders of magnitude over temperatures 30 to 83°C for both mAbs and divided into "Arrhenius" and "Stochastic" regimes. The Arrhenius regimes comprise two thermal regimes whose breakpoint occurs near the first thermal unfolding temperature of the mAb domain structure. The Stochastic regime occurs for T⩽40°C. Rates yielded activation energies and temperature and concentration crossovers among rate-limiting regimes. Virial coefficients were closely related to aggregation kinetics. Hydrodynamic diameter relationship to virial coefficients provided further insight into stability. SMSLS detected as few as three dimerization events among 1000 monomeric proteins. Although early phase aggregation is linear in time and reproducible, aggregation becomes chaotic in later phases. SMSLS dramatically increases protein monitoring throughput, providing continuous monitoring for hours, weeks, and longer. New samples can be changed in and out without affecting other sample measurements in progress.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23481914     DOI: 10.1016/j.ab.2013.02.014

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  9 in total

1.  Weak protein interactions and pH- and temperature-dependent aggregation of human Fc1.

Authors:  Haixia Wu; Kristopher Truncali; Julie Ritchie; Rachel Kroe-Barrett; Sanjaya Singh; Anne S Robinson; Christopher J Roberts
Journal:  MAbs       Date:  2015-08-12       Impact factor: 5.857

2.  Characterizing aggregate growth and morphology of alanine-rich polypeptides as a function of sequence chemistry and solution temperature from scattering, spectroscopy, and microscopy.

Authors:  Bradford Paik; Cesar Calero-Rubio; Jee Young Lee; Xinqiao Jia; Kristi L Kiick; Christopher J Roberts
Journal:  Biophys Chem       Date:  2020-09-25       Impact factor: 2.352

3.  Parallel chromatography and in situ scattering to interrogate competing protein aggregation pathways.

Authors:  Diana Gomes; Rebecca K Kalman; Rebecca K Pagels; Miguel A Rodrigues; Christopher J Roberts
Journal:  Protein Sci       Date:  2018-06-13       Impact factor: 6.725

Review 4.  Recent applications of light scattering measurement in the biological and biopharmaceutical sciences.

Authors:  Allen P Minton
Journal:  Anal Biochem       Date:  2016-02-17       Impact factor: 3.365

5.  Amyloid fibril length distribution from dynamic light scattering data.

Authors:  Petr A Sokolov; Valeriy I Rolich; Olga S Vezo; Mikhail V Belousov; Stanislav A Bondarev; Galina A Zhouravleva; Nina A Kasyanenko
Journal:  Eur Biophys J       Date:  2022-05-11       Impact factor: 1.733

6.  Identifying protein aggregation mechanisms and quantifying aggregation rates from combined monomer depletion and continuous scattering.

Authors:  Gregory V Barnett; Michael Drenski; Vladimir Razinkov; Wayne F Reed; Christopher J Roberts
Journal:  Anal Biochem       Date:  2016-08-07       Impact factor: 3.365

7.  Connecting high-temperature and low-temperature protein stability and aggregation.

Authors:  Mónica Rosa; Christopher J Roberts; Miguel A Rodrigues
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

8.  Long-term stability predictions of therapeutic monoclonal antibodies in solution using Arrhenius-based kinetics.

Authors:  Drago Kuzman; Marko Bunc; Miha Ravnik; Fritz Reiter; Lan Žagar; Matjaž Bončina
Journal:  Sci Rep       Date:  2021-10-15       Impact factor: 4.379

9.  Aggregation Time Machine: A Platform for the Prediction and Optimization of Long-Term Antibody Stability Using Short-Term Kinetic Analysis.

Authors:  Marko Bunc; San Hadži; Christian Graf; Matjaž Bončina; Jurij Lah
Journal:  J Med Chem       Date:  2022-01-28       Impact factor: 7.446

  9 in total

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