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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.

Publications

Citation

BibTex format

@article{Werther:2017:nar/gkx544,
author = {Werther, R and Hallinan, JP and Lambert, AR and Havens, K and Pogson, M and Jarjour, J and Galizi, R and Windbichler, N and Crisanti, A and Nolan, T and Stoddard, BL},
doi = {nar/gkx544},
journal = {Nucleic Acids Research},
pages = {8621--8634},
title = {Crystallographic analyses illustrate significant plasticity and efficient recoding of meganuclease target specificity},
url = {http://dx.doi.org/10.1093/nar/gkx544},
volume = {45},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The retargeting of protein–DNA specificity, outsideof extremely modular DNA binding proteins suchas TAL effectors, has generally proved to be quitechallenging. Here, we describe structural analysesof five different extensively retargeted variants of asingle homing endonuclease, that have been shownto function efficiently in ex vivo and in vivo applications.The redesigned proteins harbor mutationsat up to 53 residues (18%) of their amino acid sequence,primarily distributed across the DNA bindingsurface, making them among the most signifi-cantly reengineered ligand-binding proteins to date.Specificity is derived from the combined contributionsof DNA-contacting residues and of neighboringresidues that influence local structural organization.Changes in specificity are facilitated by theability of all those residues to readily exchange bothform and function. The fidelity of recognition is notprecisely correlated with the fraction or total numberof residues in the protein–DNA interface that areactually involved in DNA contacts, including directionalhydrogen bonds. The plasticity of the DNArecognitionsurface of this protein, which allows substantialretargeting of recognition specificity withoutrequiring significant alteration of the surroundingprotein architecture, reflects the ability of the correspondinggenetic elements to maintain mobility andpersistence in the face of genetic drift within potentialhost target sites.
AU - Werther,R
AU - Hallinan,JP
AU - Lambert,AR
AU - Havens,K
AU - Pogson,M
AU - Jarjour,J
AU - Galizi,R
AU - Windbichler,N
AU - Crisanti,A
AU - Nolan,T
AU - Stoddard,BL
DO - nar/gkx544
EP - 8634
PY - 2017///
SN - 0305-1048
SP - 8621
TI - Crystallographic analyses illustrate significant plasticity and efficient recoding of meganuclease target specificity
T2 - Nucleic Acids Research
UR - http://dx.doi.org/10.1093/nar/gkx544
UR - http://hdl.handle.net/10044/1/53799
VL - 45
ER -