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Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

Using design of experiments to guide genetic optimization of engineered metabolic pathways
J Ind Microbiol Biotechnol. 2024 Mar 15:kuae010. doi: 10.1093/jimb/kuae010. Online ahead of print.ABSTRACTDesign of Experiments (DoE) is a term used to describe the application statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems opens up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we intro...
Source: Journal of Industrial Microbiology and Biotechnology - March 15, 2024 Category: Microbiology Authors: Seonyun Moon Anna Saboe Michael J Smanski Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces
J Ind Microbiol Biotechnol. 2024 Mar 4:kuae009. doi: 10.1093/jimb/kuae009. Online ahead of print.ABSTRACTThe demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters within its genome, which are mostly uncharacterized in terms of their products and bioactivities....
Source: Journal of Industrial Microbiology and Biotechnology - March 5, 2024 Category: Microbiology Authors: Yongjae Lee Soonkyu Hwang Woori Kim Ji Hun Kim Bernhard O Palsson Byung-Kwan Cho Source Type: research