| Title: |
The Promise of Optogenetics for Bioproduction: Dynamic Control Strategies and Scale-Up Instruments |
| Authors: |
Pouzet, Sylvain; Banderas, Alvaro; Le Bec, Matthias; Lautier, Thomas; Truan, Gilles; Hersen, Pascal |
| Contributors: |
Laboratoire Physico-Chimie Curie Institut Curie (PCC); Institut Curie Paris -Institut de Chimie - CNRS Chimie (INC-CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); Matière et Systèmes Complexes (MSC); Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); Toulouse Biotechnology Institute (TBI); Institut National des Sciences Appliquées - Toulouse (INSA Toulouse); Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); ANR-10-IDEX-0001-02; ANR-16-CE12-0025,COGEX,Contrôle automatisé de l'expression des gènes(2016); ANR-11-LABX-0038,CelTisPhyBio,Des cellules aux tissus: au croisement de la Physique et de la Biologie(2011); European Project: 724813,H2020 Pilier ERC,SmartCells(2017); European Project: 766840,H2020,COSY-BIO(2017) |
| Source: |
ISSN: 2306-5354 ; Bioengineering ; https://hal.science/hal-03083199 ; Bioengineering, 2020, 7 (4), pp.151. ⟨10.3390/bioengineering7040151⟩. |
| Publisher Information: |
CCSD; MDPI |
| Publication Year: |
2020 |
| Subject Terms: |
biomanufacturing; bioprocess; bioproduction; biotechnology; cybergenetics; dynamic regulation; optogenetics; photobioreactors; [SDV.BIO]Life Sciences [q-bio]/Biotechnology; [SPI.AUTO]Engineering Sciences [physics]/Automatic |
| Description: |
International audience ; Progress in metabolic engineering and synthetic and systems biology has made bioproduction an increasingly attractive and competitive strategy for synthesizing biomolecules, recombinant proteins and biofuels from renewable feedstocks. Yet, due to poor productivity, it remains difficult to make a bioproduction process economically viable at large scale. Achieving dynamic control of cellular processes could lead to even better yields by balancing the two characteristic phases of bioproduction, namely, growth versus production, which lie at the heart of a trade-off that substantially impacts productivity. The versatility and controllability offered by light will be a key element in attaining the level of control desired. The popularity of light-mediated control is increasing, with an expanding repertoire of optogenetic systems for novel applications, and many optogenetic devices have been designed to test optogenetic strains at various culture scales for bioproduction objectives. In this review, we aim to highlight the most important advances in this direction. We discuss how optogenetics is currently applied to control metabolism in the context of bioproduction, describe the optogenetic instruments and devices used at the laboratory scale for strain development, and explore how current industrial-scale bioproduction processes could be adapted for optogenetics or could benefit from existing photobioreactor designs. We then draw attention to the steps that must be undertaken to further optimize the control of biological systems in order to take full advantage of the potential offered by microbial factories. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/pmid/33255280; info:eu-repo/grantAgreement//724813/EU/Smart Lab-On-Chips for the Real -Time Control of Cells/SmartCells; info:eu-repo/grantAgreement//766840/EU/Control Engineering of Biological Systems for Reliable Synthetic Biology Applications/COSY-BIO; PUBMED: 33255280; PUBMEDCENTRAL: PMC7712799; WOS: 000601524400001 |
| DOI: |
10.3390/bioengineering7040151 |
| Availability: |
https://hal.science/hal-03083199; https://hal.science/hal-03083199v1/document; https://hal.science/hal-03083199v1/file/2020_Optogenetics_minireview.pdf; https://doi.org/10.3390/bioengineering7040151 |
| Rights: |
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.3F11F92A |
| Database: |
BASE |