Imperial College London
Portrait Picture

Tom Ellis

Faculty of Engineering, Department of Bioengineering

Professor of Synthetic Genome Engineering
 
 
 
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Contact

 

+44 (0)20 7594 7615t.ellis Website CV

 
 
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Location

 

704Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shaw:2022:10.1038/s41467-022-33207-x,
author = {Shaw, W and Lu, X and Ellis, T},
doi = {10.1038/s41467-022-33207-x},
journal = {Nature Communications},
pages = {1--10},
title = {Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow},
url = {http://dx.doi.org/10.1038/s41467-022-33207-x},
volume = {13},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our capacity to screen and identify high producers, creating a bottleneck in metabolic engineering efforts. Here, we present a yeast-based biosensor for detecting microbially produced Δ9-tetrahydrocannabinol (THC) to increase throughput and lower the cost of screening. We port five human cannabinoid G protein-coupled receptors (GPCRs) into yeast, showing the cannabinoid type 2 receptor, CB2R, can couple to the yeast pheromone response pathway and report on the concentration of a variety of cannabinoids over a wide dynamic and operational range. We demonstrate that our cannabinoid biosensor can detect THC from microbial cell culture and use this as a tool for measuring relative production yields from a library of Δ9-tetrahydrocannabinol acid synthase (THCAS) mutants.
AU  - Shaw,W
AU  - Lu,X
AU  - Ellis,T
DO  - 10.1038/s41467-022-33207-x
EP  - 10
PY  - 2022///
SN  - 2041-1723
SP  - 1
TI  - Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow
T2  - Nature Communications
UR  - http://dx.doi.org/10.1038/s41467-022-33207-x
UR  - https://www.nature.com/articles/s41467-022-33207-x
UR  - http://hdl.handle.net/10044/1/99589
VL  - 13
ER  -
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