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Biology subjects

Steel, H.

Publications and source records attributed to Steel, H..

2 recordsLinked to original sources

Characterisation and development of aspirin inducible biosensors in E. coli Nissle 1917 and SimCells

A simple aspirin-inducible system has been developed by employing the Psal promoter and SalR regulation system originally from Acinetobacter baylyi ADP1, which has been cloned into E. coli for characterisation of gene circuits and induction of novel SimCells (simple cells). Mutagenesis at the DNA binding domain (DBD) and chemical recognition domain (CRD) of the SalR protein in A. baylyi ADP1 suggests that inactive SalRi can compete with activated SalRa, occupying the binding position of Psal promoter. The induction of the Psal promoter was compared in two different designs in E. coli: simple regulation (SRS) and positive autoregulated system (PAR). Both regulatory systems were induced in a dose-dependent manner in the presence of aspirin in the range of 0.05-10 M. Over-expression of SalR in the SRS system reduces both baseline leakiness and inducible strength of Psal promoter. A weak SalR expression significantly improve the inducible strength, which is in a good agreement of the proposed hypothesis of SalRi/SalRa competitive binding. The PAR system provides a feedback loop that fine-tunes the level of SalR, displaying inducible strength. A mathematical model based on SalRi/SalRa competitive binding hypothesis was developed, which not only reproduces the observed experimental results but also predict the performance of a new gene circuit design. The aspirin-inducible systems were also functional in probiotic strain E.coli Nissle 1917 (EcN) and SimCells produced from E. coli MC1000 {Delta}minD. The well-characterised and modularised aspirin-inducible gene circuits would be useful biobricks for bacterial therapy in environment and medical applications.

microbiology

Synthetic negative feedback circuits using engineered small RNAs

Negative feedback is known to endow biological and man-made systems with robust performance in the face of uncertainties and disturbances. To date, synthetic biological feedback circuits have relied upon protein-based, transcriptional regulation to control circuit output. Small RNAs (sRNAs) are non-coding RNA molecules which can inhibit translation of target messenger RNAs (mRNAs). In this paper, we designed, modelled and built two synthetic negative feedback circuits that use rationally-designed sRNAs for the first time. The first circuit builds upon the well characterised tet-based autorepressor, incorporating an externally-inducible sRNA to tune the effective feedback strength. This allows more precise fine-tuning of the circuit output in contrast to the sigmoidal input-output response of the autorepressor alone. In the second circuit, the output is a transcription factor that induces expression of an sRNA which negatively regulates the translation of the mRNA encoding this output, creating direct, closed-loop, negative feedback. Analysis of the noise profiles of both circuits showed that the use of sRNAs did not result in large increases in noise. Stochastic and deterministic modelling of both circuits agreed well with experimental data. Finally, simulations using fitted parameters allowed dynamic attributes of each circuit such as response time and disturbance rejection to be investigated.

synthetic biology