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Delvigne F, Martinez JA. Advances in automated and reactive flow cytometry for synthetic biotechnology. Curr Opin Biotechnol 2023; 83:102974. [PMID: 37515938 DOI: 10.1016/j.copbio.2023.102974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/20/2023] [Accepted: 07/03/2023] [Indexed: 07/31/2023]
Abstract
Automated flow cytometry (FC) has been initially considered for bioprocess monitoring and optimization. More recently, new physical and software interfaces have been made available, facilitating the access to this technology for labs and industries. It also comes with new capabilities, such as being able to act on the cultivation conditions based on population data. This approach, known as reactive FC, extended the range of applications of automated FC to bioprocess control and the stabilization of cocultures, but also to the broad field of synthetic and systems biology for the characterization of gene circuits. However, several issues must be addressed before automated and reactive FC can be considered standard and modular technologies.
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Affiliation(s)
- Frank Delvigne
- Terra Research and Teaching Center, Microbial Processes and Interactions (MiPI), Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
| | - Juan A Martinez
- Terra Research and Teaching Center, Microbial Processes and Interactions (MiPI), Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
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2
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Boness HVM, de Sá HC, Dos Santos EKP, Canuto GAB. Sample Preparation in Microbial Metabolomics: Advances and Challenges. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1439:149-183. [PMID: 37843809 DOI: 10.1007/978-3-031-41741-2_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Microbial metabolomics has gained significant interest as it reflects the physiological state of microorganisms. Due to the great variability of biological organisms, in terms of physicochemical characteristics and variable range of concentration of metabolites, the choice of sample preparation methods is a crucial step in the metabolomics workflow and will reflect on the quality and reliability of the results generated. The procedures applied to the preparation of microbial samples will vary according to the type of microorganism studied, the metabolomics approach (untargeted or targeted), and the analytical platform of choice. This chapter aims to provide an overview of the sample preparation workflow for microbial metabolomics, highlighting the pre-analytical factors associated with cultivation, harvesting, metabolic quenching, and extraction. Discussions focus on obtaining intracellular and extracellular metabolites. Finally, we introduced advanced sample preparation methods based on automated systems.
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Affiliation(s)
- Heiter V M Boness
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Hanna C de Sá
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Emile K P Dos Santos
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Gisele A B Canuto
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil.
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3
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Pérez ALA, Piva LC, Fulber JPC, de Moraes LMP, De Marco JL, Vieira HLA, Coelho CM, Reis VCB, Torres FAG. Optogenetic strategies for the control of gene expression in yeasts. Biotechnol Adv 2021; 54:107839. [PMID: 34592347 DOI: 10.1016/j.biotechadv.2021.107839] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 09/07/2021] [Accepted: 09/22/2021] [Indexed: 12/18/2022]
Abstract
Optogenetics involves the use of light to control cellular functions and has become increasingly popular in various areas of research, especially in the precise control of gene expression. While this technology is already well established in neurobiology and basic research, its use in bioprocess development is still emerging. Some optogenetic switches have been implemented in yeasts for different purposes, taking advantage of a wide repertoire of biological parts and relatively easy genetic manipulation. In this review, we cover the current strategies used for the construction of yeast strains to be used in optogenetically controlled protein or metabolite production, as well as the operational aspects to be considered for the scale-up of this type of process. Finally, we discuss the main applications of optogenetic switches in yeast systems and highlight the main advantages and challenges of bioprocess development considering future directions for this field.
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Affiliation(s)
- Ana Laura A Pérez
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Luiza C Piva
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Julia P C Fulber
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Lidia M P de Moraes
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Janice L De Marco
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Hugo L A Vieira
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Cintia M Coelho
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Viviane C B Reis
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil
| | - Fernando A G Torres
- Instituto de Ciências Biológicas, Departamento de Biologia Celular, Bloco K, 1° andar, Universidade de Brasília, Brasília 70910-900, Brazil.
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Holland I, Davies JA. Automation in the Life Science Research Laboratory. Front Bioeng Biotechnol 2020; 8:571777. [PMID: 33282848 PMCID: PMC7691657 DOI: 10.3389/fbioe.2020.571777] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 10/26/2020] [Indexed: 12/22/2022] Open
Abstract
Protocols in the academic life science laboratory are heavily reliant on the manual manipulation of tools, reagents and instruments by a host of research staff and students. In contrast to industrial and clinical laboratory environments, the usage of automation to augment or replace manual tasks is limited. Causes of this 'automation gap' are unique to academic research, with rigid short-term funding structures, high levels of protocol variability and a benevolent culture of investment in people over equipment. Automation, however, can bestow multiple benefits through improvements in reproducibility, researcher efficiency, clinical translation, and safety. Less immediately obvious are the accompanying limitations, including obsolescence and an inhibitory effect on the freedom to innovate. Growing the range of automation options suitable for research laboratories will require more flexible, modular and cheaper designs. Academic and commercial developers of automation will increasingly need to design with an environmental awareness and an understanding that large high-tech robotic solutions may not be appropriate for laboratories with constrained financial and spatial resources. To fully exploit the potential of laboratory automation, future generations of scientists will require both engineering and biology skills. Automation in the research laboratory is likely to be an increasingly critical component of future research programs and will continue the trend of combining engineering and science expertise together to answer novel research questions.
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Affiliation(s)
- Ian Holland
- Deanery of Biomedical Science and Synthsys Centre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom
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5
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Lin DS, Lee CH, Yang YT. Wireless bioreactor for anaerobic cultivation of bacteria. Biotechnol Prog 2020; 36:e3009. [PMID: 32329232 DOI: 10.1002/btpr.3009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 03/24/2020] [Accepted: 04/21/2020] [Indexed: 11/07/2022]
Abstract
Anaerobic cultivation methods of bacteria are indispensable in microbiology. One methodology is to cultivate the microbes in anaerobic enclosure with oxygen-adosrbing chemicals. Here, we report an electronic extension of such strategy for facultative anaerobic bacteria. The technique is based a bioreactor with entire operation including turbidity measurement, fluidic mixing, and gas delivery in an anaerobic enclosure. Wireless data transmission is employed and the anaerobic condition is achieved with gas pack. Although the technique is not meant to completely replace the anaerobic chamber for strict anaerobic bacteria, it provides a convenient way to bypass the cumbersome operation in anaerobic chamber for facultative anaerobic bacteria. Such a cultivation strategy is demonstrated with Escherichia coli with different carbon sources and hydrogen as energy source.
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Affiliation(s)
- Ding-Shun Lin
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Chih-Hsien Lee
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Ya-Tang Yang
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
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Cheng HTY, Lo SC, Huang CC, Ho TY, Yang YT. Detailed profiling of carbon fixation of in silico synthetic autotrophy with reductive tricarboxylic acid cycle and Calvin-Benson-Bassham cycle in Esherichia coli using hydrogen as an energy source. Synth Syst Biotechnol 2019; 4:165-172. [PMID: 31528741 PMCID: PMC6739492 DOI: 10.1016/j.synbio.2019.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/06/2019] [Accepted: 08/19/2019] [Indexed: 12/04/2022] Open
Abstract
Carbon fixation is the main route of inorganic carbon in the form of CO2 into the biosphere. In nature, RuBisCO is the most abundant protein that photosynthetic organisms use to fix CO2 from the atmosphere through the Calvin-Benson-Bassham (CBB) cycle. However, the CBB cycle is limited by its low catalytic rate and low energy efficiency. In this work, we attempt to integrate the reductive tricarboxylic acid and CBB cycles in silico to further improve carbon fixation capacity. Key heterologous enzymes, mostly carboxylating enzymes, are inserted into the Esherichia coli core metabolic network to assimilate CO2 into biomass using hydrogen as energy source. Overall, such a strain shows enhanced growth yield with simultaneous running of dual carbon fixation cycles. Our key results include the following. (i) We identified two main growth states: carbon-limited and hydrogen-limited; (ii) we identified a hierarchy of carbon fixation usage when hydrogen supply is limited; and (iii) we identified the alternative sub-optimal growth mode while performing genetic perturbation. The results and modeling approach can guide bioengineering projects toward optimal production using such a strain as a microbial cell factory.
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Affiliation(s)
- Hsieh-Ting-Yang Cheng
- Department of Computer Science, National Tsing Hua University, Hsinchu, 30013, Taiwan, R.O.C
| | - Shou-Chen Lo
- Department of Life Sciences, National Chung-Hsing Univeristy, Taichung, Taiwan, R.O.C
| | - Chieh-Chen Huang
- Department of Life Sciences, National Chung-Hsing Univeristy, Taichung, Taiwan, R.O.C
- Program in Microbial Genomics, National Chung Hsing University, Taichung, Taiwan, R.O.C
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan, R.O.C
| | - Tsung-Yi Ho
- Department of Computer Science, National Tsing Hua University, Hsinchu, 30013, Taiwan, R.O.C
| | - Ya-Tang Yang
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, 30013, Taiwan, R.O.C
- Corresponding author.
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Dietler J, Stabel R, Möglich A. Pulsatile illumination for photobiology and optogenetics. Methods Enzymol 2019; 624:227-248. [PMID: 31370931 DOI: 10.1016/bs.mie.2019.04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Living organisms exhibit a wide range of intrinsic adaptive responses to incident light. Likewise, in optogenetics, biological systems are tailored to initiate predetermined cellular processes upon light exposure. As genetically encoded, light-gated actuators, sensory photoreceptors are at the heart of these responses in both the natural and engineered scenarios. Upon light absorption, photoreceptors enter a series of generally rapid photochemical reactions leading to population of the light-adapted signaling state of the receptor. Notably, this state persists for a while before thermally reverting to the original dark-adapted resting state. As a corollary, the inactivation of photosensitive biological circuits upon light withdrawal can exhibit substantial inertia. Intermittent illumination of suitable pulse frequency can hence maintain the photoreceptor in its light-adapted state while greatly reducing overall light dose, thereby mitigating adverse side effects. Moreover, several photoreceptor systems may be actuated sequentially with a single light color if they sufficiently differ in their inactivation kinetics. Here, we detail the construction of programmable illumination devices for the rapid and parallelized testing of biological responses to diverse lighting regimes. As the technology is based on open electronics and readily available, inexpensive components, it can be adopted by most laboratories at moderate expenditure. As we exemplify for two use cases, the programmable devices enable the facile interrogation of diverse illumination paradigms and their application in optogenetics and photobiology.
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Affiliation(s)
- Julia Dietler
- Lehrstuhl für Biochemie, Universität Bayreuth, Bayreuth, Germany
| | - Robert Stabel
- Lehrstuhl für Biochemie, Universität Bayreuth, Bayreuth, Germany
| | - Andreas Möglich
- Lehrstuhl für Biochemie, Universität Bayreuth, Bayreuth, Germany; Research Center for Bio-Macromolecules, Universität Bayreuth, Bayreuth, Germany; Bayreuth Center for Biochemistry & Molecular Biology, Universität Bayreuth, Bayreuth, Germany; North-Bavarian NMR Center, Universität Bayreuth, Bayreuth, Germany.
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McGeachy AM, Meacham ZA, Ingolia NT. An Accessible Continuous-Culture Turbidostat for Pooled Analysis of Complex Libraries. ACS Synth Biol 2019; 8:844-856. [PMID: 30908907 DOI: 10.1021/acssynbio.8b00529] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We present an accessible, robust continuous-culture turbidostat system that greatly facilitates the generation and phenotypic analysis of highly complex libraries in yeast and bacteria. Our system has many applications in genomics and systems biology; here, we demonstrate three of these uses. We first measure how the growth rate of budding yeast responds to limiting nitrogen at steady state and in a dynamically varying environment. We also demonstrate the direct selection of a diverse, genome-scale protein fusion library in liquid culture. Finally, we perform a comprehensive mutational analysis of the essential gene RPL28 in budding yeast, mapping sequence constraints on its wild-type function and delineating the binding site of the drug cycloheximide through resistance mutations. Our system can be constructed and operated with no specialized skills or equipment and applied to study genome-wide mutant pools and diverse libraries of sequence variants under well-defined growth conditions.
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Affiliation(s)
- Anna M. McGeachy
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, United States
| | - Zuriah A. Meacham
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, United States
| | - Nicholas T. Ingolia
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, United States
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