3.9 Article

Improved Minicircle DNA Biosynthesis for Gene Therapy Applications

Journal

HUMAN GENE THERAPY METHODS
Volume 25, Issue 2, Pages 93-105

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/hgtb.2013.020

Keywords

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Funding

  1. Portuguese Foundation for Science and Technology (FCT) [PTDC/EME-TME/103375/2008, PTDC/EBB-BIO/114320/2009, PEst-C/SAU/UI0 709/2011 COMPETE]
  2. FCT [SFRH/BD/80402/2011]

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Minicircular DNA (mcDNA) biopharmaceuticals have recently risen as a valuable alternative for the development of a next generation of bioactive therapeutics because they are more efficient and safer than standard plasmid DNA (pDNA). To date, the relatively insufficient knowledge regarding mcDNA biosynthesis is currently hindering its manufacture in suitable amounts for clinical trial evaluations. Addressing this limitation is therefore mandatory to bring forth the full therapeutic potential of this cutting-edge technology. Herein, we describe for the first time new processing parameters that improve the overall yield of mcDNA obtained from bacterial fermentations. We provide details for further in-line monitoring and optimization in view of the current good manufacturing guidelines. Our results show that by rising growth temperature to 42 degrees C, an increase in the overall minicircle producer plasmid yield is attained, while biomass amounts are reduced. Moreover, by monitoring in real time the dynamic recombination of parental plasmids to mcDNA, we found that this event is more efficient at specific time points, regardless of the growth temperature and inductor concentration used. These are important findings since mcDNA can be recovered with higher yields at these determined key stages. Indeed, the manipulation of these parameters resulted in a 2.21-fold increase in mcDNA production compared with the established growth temperatures for this technology. Overall, our findings highlight that to achieve maximum productivity while attaining pharmaceutical-grade mcDNA preparations, process design and biosynthesis optimization must take into account key parameters such as temperature, inductor concentration, and recovery time.

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