Mechanistic modeling of a rewritable recombinase addressable data module

Bowyer, J., Zhao, J., Subsoontorn, P., Wong, W., Rosser, S. and Bates, D. (2016) Mechanistic modeling of a rewritable recombinase addressable data module. IEEE Transactions on Biomedical Circuits and Systems, 10(6), pp. 1161-1170. (doi: 10.1109/tbcas.2016.2526668) (PMID:27244749)

Abstract

Many of the most important applications predicted to arise from Synthetic Biology will require engineered cellular memory with the capability to store data in a rewritable and reversible manner upon induction by transient stimuli. DNA recombination provides an ideal platform for cellular data storage and has allowed the development of a rewritable recombinase addressable data (RAD) module, capable of efficient data storage within a chromosome. Here, we develop the first detailed mechanistic model of DNA recombination, and validate it against a new set of in vitro data on recombination efficiencies across a range of different concentrations of integrase and gp3. Investigation of in vivo recombination dynamics using our model reveals the importance of fully accounting for all mechanistic features of DNA recombination in order to accurately predict the effect of different switching strategies on RAD module performance, and highlights its usefulness as a design tool for building future synthetic circuitry.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Rosser, Professor Susan and Zhao, Miss Jia
• Authors: Bowyer, J., Zhao, J., Subsoontorn, P., Wong, W., Rosser, S., and Bates, D.
• College/School: College of Medical Veterinary and Life Sciences > School of Molecular Biosciences
• Journal Name: IEEE Transactions on Biomedical Circuits and Systems
• Publisher: IEEE
• ISSN: 1932-4545
• ISSN (Online): 1940-9990
• Published Online: 24 May 2016
• Copyright Holders: Copyright © 2016 IEEE
• First Published: First published in IEEE Transactions on Biomedical Circuits and Systems 10(6):1161-1170
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
51911	1	Sandpit: Synthetic integrons for continuous directed evolution of complex genetic ensembles	Susan Rosser	Engineering & Physical Sciences Research Council (EPSRC)	EP/H019154/1	RI MOLECULAR CELL & SYSTEMS BIOLOGY
51911	4	Sandpit: Synthetic integrons for continuous directed evolution of complex genetic ensembles	Susan Rosser	Engineering & Physical Sciences Research Council (EPSRC)	EP/K034359/1	RI MOLECULAR CELL & SYSTEMS BIOLOGY