Literature DB >> 17181992

Sedimentation velocity analytical ultracentrifugation and SEDFIT/c(s): limits of quantitation for a monoclonal antibody system.

John P Gabrielson1, Theodore W Randolph, Brent S Kendrick, Michael R Stoner.   

Abstract

Sedimentation velocity analytical ultracentrifugation (SV-AUC) has emerged in the biopharmaceutical industry as a technique to detect small quantities of protein aggregates. However, the limits of detection and quantitation of these aggregates are not yet well understood. Although diverse factors (molecule, instrument, technique, and software dependent) preclude an all-encompassing measurement of these limits for the complete system, it is possible to use simulated data to determine the quantitation limits of the data analysis software aspect. The current study examines the performance of the SEDFIT/c(s) data analysis tool with simulated antibody monomer/dimer and monomer/aggregate systems. Under completely ideal conditions (zero noise, known meniscus, and shape factor homogeneity), the software limit of quantitation was 0.01% for the monomer/aggregate system and 0.03% for the less well-resolved monomer/dimer system. Under more realistic conditions (0.005 OD root mean square [RMS] noise, shape factor variability, and long solution column), the software limits of quantitation were 0.2 and 0.6% (0.002 and 0.006 OD) for the monomer/aggregate and monomer/dimer systems, respectively. Interestingly, diminished quantitation accuracy at very low levels of oligomer was not accompanied by deterioration of fit quality (as measured by root mean square deviation [RMSD] and residuals bitmap images).

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Year:  2006        PMID: 17181992     DOI: 10.1016/j.ab.2006.11.012

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


  19 in total

1.  High-throughput analysis of concentration-dependent antibody self-association.

Authors:  Shantanu V Sule; Muppalla Sukumar; William F Weiss; Anna Marie Marcelino-Cruz; Tyler Sample; Peter M Tessier
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

2.  A multi-tiered analytical approach for the analysis and quantitation of high-molecular-weight aggregates in a recombinant therapeutic glycoprotein.

Authors:  Heather Hughes; Charles Morgan; Elizabeth Brunyak; Kristen Barranco; Emily Cohen; Tim Edmunds; Karen Lee
Journal:  AAPS J       Date:  2009-05-09       Impact factor: 4.009

Review 3.  Protein particulate detection issues in biotherapeutics development--current status.

Authors:  Tapan K Das
Journal:  AAPS PharmSciTech       Date:  2012-05-08       Impact factor: 3.246

4.  Mechanistic insights into the switch of αB-crystallin chaperone activity and self-multimerization.

Authors:  Zhenying Liu; Chuchu Wang; Yichen Li; Chunyu Zhao; Tongzhou Li; Dan Li; Shengnan Zhang; Cong Liu
Journal:  J Biol Chem       Date:  2018-08-03       Impact factor: 5.157

5.  Quantifying Trace Amounts of Aggregates in Biopharmaceuticals Using Analytical Ultracentrifugation Sedimentation Velocity: Bayesian Analyses and F Statistics.

Authors:  Lucas Wafer; Marek Kloczewiak; Yin Luo
Journal:  AAPS J       Date:  2016-05-16       Impact factor: 4.009

Review 6.  Sedimentation velocity analytical ultracentrifugation for characterization of therapeutic antibodies.

Authors:  Susumu Uchiyama; Masanori Noda; Elena Krayukhina
Journal:  Biophys Rev       Date:  2017-12-14

7.  Efficient data acquisition with three-channel centerpieces in sedimentation velocity.

Authors:  Kristian Juul-Madsen; Huaying Zhao; Thomas Vorup-Jensen; Peter Schuck
Journal:  Anal Biochem       Date:  2019-09-04       Impact factor: 3.365

8.  Some statistical properties of differencing schemes for baseline correction of sedimentation velocity data.

Authors:  Peter Schuck
Journal:  Anal Biochem       Date:  2010-03-03       Impact factor: 3.365

9.  A bayesian approach for quantifying trace amounts of antibody aggregates by sedimentation velocity analytical ultracentrifugation.

Authors:  Patrick H Brown; Andrea Balbo; Peter Schuck
Journal:  AAPS J       Date:  2008-09-24       Impact factor: 4.009

Review 10.  Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars.

Authors:  Steven A Berkowitz; John R Engen; Jeffrey R Mazzeo; Graham B Jones
Journal:  Nat Rev Drug Discov       Date:  2012-06-29       Impact factor: 84.694

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