TY - JOUR
T1 - Optogenetics and biosensors set the stage for metabolic cybergenetics
AU - Carrasco-López, César
AU - García-Echauri, Sergio A.
AU - Kichuk, Therese
AU - Avalos, José L.
N1 - Funding Information:
We thank all members of the Avalos lab for their helpful feedback. J.L.A. is supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research Award Numbers DE-SC0019363 ; as well as the NSF CAREER Award CBET-1751840 , The Pew Charitable Trusts , The Camille Dreyfus Teacher-Scholar Award , and Project-X from Princeton University SEAS .
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10
Y1 - 2020/10
N2 - Cybergenetic systems use computer interfaces to enable feed-back controls over biological processes in real time. The complex and dynamic nature of cellular metabolism makes cybergenetics attractive for controlling engineered metabolic pathways in microbial fermentations. Cybergenetics would not only create new avenues of research into cellular metabolism, it would also enable unprecedented strategies for pathway optimization and bioreactor operation and automation. Implementation of metabolic cybergenetics, however, will require new capabilities from actuators, biosensors, and control algorithms. The recent application of optogenetics in metabolic engineering, the expanding role of genetically encoded biosensors in strain development, and continued progress in control algorithms for biological processes suggest that this technology will become available in the not so distant future.
AB - Cybergenetic systems use computer interfaces to enable feed-back controls over biological processes in real time. The complex and dynamic nature of cellular metabolism makes cybergenetics attractive for controlling engineered metabolic pathways in microbial fermentations. Cybergenetics would not only create new avenues of research into cellular metabolism, it would also enable unprecedented strategies for pathway optimization and bioreactor operation and automation. Implementation of metabolic cybergenetics, however, will require new capabilities from actuators, biosensors, and control algorithms. The recent application of optogenetics in metabolic engineering, the expanding role of genetically encoded biosensors in strain development, and continued progress in control algorithms for biological processes suggest that this technology will become available in the not so distant future.
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U2 - 10.1016/j.copbio.2020.07.012
DO - 10.1016/j.copbio.2020.07.012
M3 - Review article
C2 - 32932048
AN - SCOPUS:85090714466
SN - 0958-1669
VL - 65
SP - 296
EP - 309
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
ER -