Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers

Autor: Robinson, Christopher J., Carbonell, Pablo, Jervis, Adrian J., Yan, Cunyu, Hollywood, Katherine A., Dunstan, Mark S., Currin, Andrew, Swainston, Neil, Spiess, Reynard, Taylor, Sandra, Mulherin, Paul, Parker, Steven, Rowe, William, Matthews, Nicholas E., Malone, Kirk J., Le Feuvre, Rosalind, Shapira, Philip, Barran, Perdita, Turner, Nicholas J., Micklefield, Jason, Breitling, Rainer, Takano, Eriko, Scrutton, Nigel S.

Publikováno v: In Metabolic Engineering July 2020 60:168-182

The transcriptional regulator CprK detects chlorination by combining direct and indirect readout mechanisms

Autor: Kemp, Laura R., Dunstan, Mark S., Fisher, Karl, Warwicker, Jim, Leys, David

Publikováno v: Philosophical Transactions: Biological Sciences, 2013 Apr . 368(1616), 1-8.

Externí odkaz: http://dx.doi.org/10.1098/rstb.2012.0323

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Engineering the 'Missing Link' in Biosynthetic (−)-Menthol Production: Bacterial Isopulegone Isomerase

Autor: Currin, Andrew, Dunstan, Mark S., Johannissen, Linus O., Hollywood, Katherine A., Vinaxia, Maria, Jervis, Adrian J., Swainston, Neil, Rattray, Nicholas J. W., Gardiner, John M., Kell, Douglas B., Takano, Eriko, Toogood, Helen S., Scrutton, Nigel S.

Publikováno v: ACS Catalysis

The realization of a synthetic biology approach to microbial (1R,2S,5R)-(−)-menthol (1) production relies on the identification of a gene encoding an isopulegone isomerase (IPGI), the only enzyme in the Mentha piperita biosynthetic pathway as yet u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::a9568a12d6b638310c91771cb46a1940
http://europepmc.org/articles/PMC5937688

Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli

Autor: Jervis, Adrian J., Carbonell, Pablo, Vinaixa, Maria, Dunstan, Mark S., Hollywood, Katherine A., Robinson, Christopher J., Rattray, Nicholas J.W., Yan, Cunyu, Swainston, Neil, Currin, Andrew, Sung, Rehana, Toogood, Helen, Taylor, Sandra, Faulon, Jean Loup, Breitling, Rainer, Takano, Eriko, Scrutton, Nigel S.

Publikováno v: ACS Synthetic Biology
ACS Synthetic Biology, American Chemical Society, 2019, 8 (1), pp.127-136. ⟨10.1021/acssynbio.8b00398⟩
Jervis, A J, Carbonell, P, Vinaixa, M, Dunstan, M S, Hollywood, K A, Robinson, C J, Rattray, N J W, Yan, C, Swainston, N, Currin, A, Sung, R, Toogood, H, Taylor, S, Faulon, J-L, Breitling, R, Takano, E & Scrutton, N S 2019, ' Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli ', ACS Synthetic Biology, vol. 8, no. 1, pp. 127-136 . https://doi.org/10.1021/acssynbio.8b00398
Jervis, A J, Carbonell, P, Vinaixa, M, Dunstan, M S, Hollywood, K A, Robinson, C J, Rattray, N J W, Yan, C, Swainston, N, Currin, A, Sung, R, Toogood, H, Taylor, S, Faulon, J L, Breitling, R, Takano, E & Scrutton, N S 2019, ' Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli ', ACS Synthetic Biology, vol. 8, no. 1, pp. 127-136 . https://doi.org/10.1021/acssynbio.8b00398

International audience; The field of synthetic biology aims to make the design of biological systems predictable, shrinking the huge design space to practical numbers for testing. When designing microbial cell factories, most optimization efforts hav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::7f06f11d08c8a22ca5b950a12ed2a053
https://hal.inrae.fr/hal-02621980