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Research

Biological systems - including the simplest cells - exhibit a broad range of functions to thrive in their environment. Research in the Imperial College Centre for Synthetic Biology is focused on the possibility of engineering the underlying biochemical processes to solve many of the challenges facing society, from healthcare to sustainable energy. In particular, we model, analyse, design and build biological and biochemical systems in living cells and/or in cell extracts, both exploring and enhancing the engineering potential of biology.

As part of our research we develop novel methods to accelerate the celebrated Design-Build-Test-Learn synthetic biology cycle. As such research in the Centre for Synthetic Biology highly multi- and interdisciplinary covering computational modelling and machine learning approaches; automated platform development and genetic circuit engineering ; multi-cellular and multi-organismal interactions, including gene drive and genome engineering; metabolic engineering; in vitro/cell-free synthetic biology; engineered phages and directed evolution; and biomimetics, biomaterials and biological engineering.

Publications

Citation

BibTex format

@article{Wu:2013:10.1073/pnas.1305423110,
author = {Wu, M and Su, R-Q and Li, X and Ellis, T and Lai, Y-C and Wang, X},
doi = {10.1073/pnas.1305423110},
journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA},
pages = {10610--10615},
title = {Engineering of regulated stochastic cell fate determination},
url = {http://dx.doi.org/10.1073/pnas.1305423110},
volume = {110},
year = {2013}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Wu,M
AU  - Su,R-Q
AU  - Li,X
AU  - Ellis,T
AU  - Lai,Y-C
AU  - Wang,X
DO  - 10.1073/pnas.1305423110
EP  - 10615
PY  - 2013///
SN  - 0027-8424
SP  - 10610
TI  - Engineering of regulated stochastic cell fate determination
T2  - PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
UR  - http://dx.doi.org/10.1073/pnas.1305423110
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000321503700044&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 110
ER  -