دورية أكاديمية

Using design of experiments to guide genetic optimization of engineered metabolic pathways.

التفاصيل البيبلوغرافية
العنوان: Using design of experiments to guide genetic optimization of engineered metabolic pathways.
المؤلفون: Moon S; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, St Paul, MN 55108, USA.; Biotechnology Institute, University of Minnesota, St Paul, MN 55108, USA., Saboe A; Biotechnology Institute, University of Minnesota, St Paul, MN 55108, USA., Smanski MJ; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, St Paul, MN 55108, USA.; Biotechnology Institute, University of Minnesota, St Paul, MN 55108, USA.
المصدر: Journal of industrial microbiology & biotechnology [J Ind Microbiol Biotechnol] 2024 Jan 09; Vol. 51.
نوع المنشور: Review; Journal Article
اللغة: English
بيانات الدورية: Publisher: Oxford University Press Country of Publication: Germany NLM ID: 9705544 Publication Model: Print Cited Medium: Internet ISSN: 1476-5535 (Electronic) Linking ISSN: 13675435 NLM ISO Abbreviation: J Ind Microbiol Biotechnol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2021- : [Oxford] : Oxford University Press
Original Publication: Houndmills, Basingstoke, Hampshire, UK : Published by Stockton Press on behalf of the Society for Industrial Microbiology, c1996-
مواضيع طبية MeSH: Metabolic Networks and Pathways*/genetics , Genetic Engineering*, Metabolic Engineering
مستخلص: Design of experiments (DoE) is a term used to describe the application of 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 open up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we introduce several approaches in DoE at a high level and describe instances wherein these were applied to interrogate or optimize engineered genetic systems. We discuss the challenges of applying DoE and propose strategies to mitigate these challenges.
One-Sentence Summary: This is a review of literature related to applying Design of Experiments for genetic optimization.
(© The Author(s) 2024. Published by Oxford University Press on behalf of Society of Industrial Microbiology and Biotechnology.)
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معلومات مُعتمدة: University of Minnesota
فهرسة مساهمة: Keywords: Design of experiments; Gene expression; Metabolic engineering
تواريخ الأحداث: Date Created: 20240315 Date Completed: 20240401 Latest Revision: 20240524
رمز التحديث: 20240524
مُعرف محوري في PubMed: PMC10981448
DOI: 10.1093/jimb/kuae010
PMID: 38490746
قاعدة البيانات: MEDLINE
الوصف
تدمد:1476-5535
DOI:10.1093/jimb/kuae010