Bacterial cells live in an ever changing environment and therefore are equipped with specific genetically-encoded sensors and signalling networks to continuously perceive and process the various environmental signals. In this sense, cells can be viewed as replicating living computers but with biochemical inputs and outputs. This project aims to streamline the typical design, build and test cycle of large-scale gene circuits to program live bacterial cells with designer functions, in particular for advanced sensing, computing, information processing and control of multiple cellular and environmental signals with applications, for example, in cell-based biosensing and biomanufacturing.
You will be guided to design, build, test and model various genetic programs including novel sensors, genetic logic gates, amplifiers, computing and memory circuits. The layering and integration of these circuit modules will lead to a programmable biological computer. The biological computer will then enable the programmed cells to have a range of intelligent capabilities for application in areas including biosensing, biomanufacturing and biotherapies. By example, the engineered tools can be applied to significantly enhance the production yields of some difficult-to-express, large or toxic therapeutic proteins in industrial scale bioreactors. You will be guided to develop new biological circuit design principles by exploiting design principles in other engineering disciplines such as modularity, orthogonality, systematic characterization, modelling and simulation to increase the predictability and scalability of gene circuit design and assembly. In addition, you will have the opportunity to develop efficient Bio-CAD software and tools to automate the design and diagnosis of large-scale genetic circuits.
The project will provide the student a comprehensive training of advanced molecular biology, innovative microbiology and synthetic biology techniques, and computational modelling and programming skills. The research thus gives the student an inter-disciplinary research experience and cutting edge technologies exposure to prepare well for his/her future research career. The student may also benefit from the opportunity to work collaboratively with some of our blue-chip industrial partners (Microsoft, Huawei etc). It is expected that the student either have a dry-related (e.g. computing science, software design, electronic circuit design, bioinformatics or computational biology) or wet-related background (bioengineerin, molecular biology, biochemistry, microbiology or synthetic biology) to drive either of the two synergistic aspects of the project.
The “Visit Website” button will take you to our Online Application checklist. Complete each step and download the checklist which will provide a list of funding options and guide you through the application process. Follow the instructions on the EASTBIO website (you will be directed here from our application checklist), ensuring you upload an EASTBIO application form and transcripts to your application, and ticking the box to request references. Your referees should upload their references using the EASTBIO reference form, in time for the 5th January deadline so please give them plenty of time to do this by applying early.
Wan et al. “Cascaded amplifying circuits enable ultrasensitive cellular sensors for toxic metals”, Nature Chemical Biology, 2019, 15(5):540–548
Wang et al. “Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology”, Nature Communications, 2011, 2:508
Nielsen et al. "Genetic circuit design automation." Science, 2016, 352:aac7341.
How good is research at University of Edinburgh in Biological Sciences?
FTE Category A staff submitted: 109.70
Research output data provided by the Research Excellence Framework (REF)
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