Literature DB >> 26412664

Guidance to Achieve Accurate Aggregate Quantitation in Biopharmaceuticals by SV-AUC.

Kelly K Arthur1, Brent S Kendrick1, John P Gabrielson2.   

Abstract

The levels and types of aggregates present in protein biopharmaceuticals must be assessed during all stages of product development, manufacturing, and storage of the finished product. Routine monitoring of aggregate levels in biopharmaceuticals is typically achieved by size exclusion chromatography (SEC) due to its high precision, speed, robustness, and simplicity to operate. However, SEC is error prone and requires careful method development to ensure accuracy of reported aggregate levels. Sedimentation velocity analytical ultracentrifugation (SV-AUC) is an orthogonal technique that can be used to measure protein aggregation without many of the potential inaccuracies of SEC. In this chapter, we discuss applications of SV-AUC during biopharmaceutical development and how characteristics of the technique make it better suited for some applications than others. We then discuss the elements of a comprehensive analytical control strategy for SV-AUC. Successful implementation of these analytical control elements ensures that SV-AUC provides continued value over the long time frames necessary to bring biopharmaceuticals to market.
© 2015 Elsevier Inc. All rights reserved.

Keywords:  Analytical ultracentrifugation; Biopharmaceuticals; Protein aggregation; Sedimentation velocity; Therapeutic proteins

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Year:  2015        PMID: 26412664     DOI: 10.1016/bs.mie.2015.06.011

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  2 in total

1.  Elucidating Complicated Assembling Systems in Biology Using Size-and-Shape Analysis of Sedimentation Velocity Data.

Authors:  Catherine T Chaton; Andrew B Herr
Journal:  Methods Enzymol       Date:  2015-06-19       Impact factor: 1.600

2.  Aβ42 pentamers/hexamers are the smallest detectable oligomers in solution.

Authors:  Martin Wolff; Bo Zhang-Haagen; Christina Decker; Bogdan Barz; Mario Schneider; Ralf Biehl; Aurel Radulescu; Birgit Strodel; Dieter Willbold; Luitgard Nagel-Steger
Journal:  Sci Rep       Date:  2017-05-30       Impact factor: 4.379

  2 in total

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