Campus Units

Chemical and Biological Engineering, Statistics

Document Type

Article

Research Focus Area

Health Care Technology and Biomedical Engineering

Publication Version

Submitted Manuscript

Publication Date

2016

Journal or Book Title

Biotechnology Process

Volume

32

Issue

6

First Page

1453

Last Page

1463

DOI

10.1002/btpr.2342

Abstract

Host cell proteins (HCP) are a problematic set of impurities in downstream processing (DSP) as they behave most similarly to the target protein during separation. Approaching DSP with the knowledge of HCP separation behavior would be beneficial for the production of high purity recombinant biologics. Therefore, this work was aimed at characterizing the separation behavior of complex mixtures of HCP during a commonly used method: anion-exchange chromatography (AEX). An additional goal was to evaluate the performance of a statistical methodology, based on the characterization data, as a tool for predicting protein separation behavior. Aqueous two-phase partitioning followed by two-dimensional electrophoresis provided data on the three physicochemical properties most commonly exploited during DSP for each HCP: pI (isoelectric point), molecular weight, and surface hydrophobicity. The protein separation behaviors of two alternative expression host extracts (corn germ and E. coli) were characterized. A multivariate random forest (MVRF) statistical methodology was then applied to the database of characterized proteins creating a tool for predicting the AEX behavior of a mixture of proteins. The accuracy of the MVRF method was determined by calculating a root mean squared error value for each database. This measure never exceeded a value of 0.045 (fraction of protein populating each of the multiple separation fractions) for AEX. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1453–1463, 2016

Comments

This is the pre-peer reviewed version of the following article: Swanson, Ryan K., Ruo Xu, Daniel S. Nettleton, and Charles E. Glatz. "Accounting for host cell protein behavior in anion‐exchange chromatography." Biotechnology Progress 32, no. 6 (2016): 1453-1463, which has been published in final form at DOI: 10.1002/btpr.2342. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Posted with permission.

Copyright Owner

American Institute of Chemical Engineers

Language

en

File Format

application/pdf

Published Version

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