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Synthetic Biology underpins advances in the bioeconomy

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.



BibTex format

author = {Ji, X-J and Ledesma-Amaro, R},
doi = {10.1016/j.tibtech.2020.02.003},
journal = {Trends in Biotechnology},
pages = {832--834},
title = {Microbial lipid biotechnology to produce polyunsaturated fatty acids.},
url = {},
volume = {38},
year = {2020}

RIS format (EndNote, RefMan)

AB - Lipids rich in polyunsaturated fatty acids are important nutrients. They are traditionally extracted from animals and plants but alternatively can be obtained from microbes through microbial lipid biotechnology. To make this process more economical, apart from strain engineering, the next frontier is through bioprocess and downstream innovation.
AU - Ji,X-J
AU - Ledesma-Amaro,R
DO - 10.1016/j.tibtech.2020.02.003
EP - 834
PY - 2020///
SN - 0167-7799
SP - 832
TI - Microbial lipid biotechnology to produce polyunsaturated fatty acids.
T2 - Trends in Biotechnology
UR -
UR -
UR -
UR -
VL - 38
ER -