Design space determination to optimize DNA complexation and full capsid formation in transient rAAV manufacturing

Author:

Fu Qiang1,Lee Yong Suk2,Green Erica A.3,Wang Yongdan4,Park So Young2,Polanco Ashli4,Lee Kelvin H.3ORCID,Betenbaugh Michael5ORCID,McNally David46,Yoon Seongkyu4ORCID

Affiliation:

1. Department of Biomedical Engineering and Biotechnology University of Massachusetts Lowell Lowell Massachusetts USA

2. Department of Pharmaceutical Sciences University of Massachusetts Lowell Lowell Massachusetts USA

3. Department of Chemical and Biomolecular Engineering University of Delaware Newark Delaware USA

4. Department of Chemical Engineering University of Massachusetts Lowell Lowell Massachusetts USA

5. Department of Chemical and Biomolecular Engineering Johns Hopkins University Baltimore Maryland USA

6. MassBiologics University of Massachusetts Chan Medical School Mattapan Massachusetts USA

Abstract

AbstractRecombinant adeno‐associated virus (rAAV) vectors are a promising platform for in vivo gene therapies. However, cost‐effective, well‐characterized processes necessary to manufacture rAAV therapeutics are challenging to develop without an understanding of how process parameters (PPs) affect rAAV product quality attributes (PQAs). In this work, a central composite orthogonal experimental design was employed to examine the influence of four PPs for transient transfection complex formation (polyethylenimine:DNA [PEI:DNA] ratio, total DNA/cell, cocktail volume, and incubation time) on three rAAV PQAs related to capsid content (vector genome titer, vector genome:capsid particle ratio, and two‐dimensional vector genome titer ratio). A regression model was established for each PQA using partial least squares, and a design space (DS) was defined in which Monte Carlo simulations predicted < 1% probability of failure (POF) to meet predetermined PQA specifications. Of the three PQAs, viral genome titer was most strongly correlated with changes in complexation PPs. The DS and acceptable PP ranges were largest when incubation time and cocktail volume were kept at mid‐high setpoints, and PEI:DNA ratio and total DNA/cell were at low‐mid setpoints. Verification experiments confirmed model predictive capability, and this work establishes a framework for studying other rAAV PPs and their relationship to PQAs.

Funder

National Science Foundation

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

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