2021
DOI: 10.3389/fbioe.2021.613307
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Omics-Driven Biotechnology for Industrial Applications

Abstract: Biomanufacturing is a key component of biotechnology that uses biological systems to produce bioproducts of commercial relevance, which are of great interest to the energy, material, pharmaceutical, food, and agriculture industries. Biotechnology-based approaches, such as synthetic biology and metabolic engineering are heavily reliant on “omics” driven systems biology to characterize and understand metabolic networks. Knowledge gained from systems biology experiments aid the development of synthetic biology to… Show more

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Cited by 73 publications
(40 citation statements)
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References 208 publications
(256 reference statements)
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“…Several molecular mechanisms, including the oxidative stress stimulation and nutrient-sensing pathways, have been proposed to explain the role of CR for improving health and extending life [ 3 ]. Recent advances in science and technology have allowed omics-based (e.g., transcriptomics, proteomics, metabolomics) deep investigation of the molecular mechanism of CR [ 4 , 5 ]. However, it is still unclear how CR delays the aging process and the surge of age-related diseases.…”
Section: Introductionmentioning
confidence: 99%
“…Several molecular mechanisms, including the oxidative stress stimulation and nutrient-sensing pathways, have been proposed to explain the role of CR for improving health and extending life [ 3 ]. Recent advances in science and technology have allowed omics-based (e.g., transcriptomics, proteomics, metabolomics) deep investigation of the molecular mechanism of CR [ 4 , 5 ]. However, it is still unclear how CR delays the aging process and the surge of age-related diseases.…”
Section: Introductionmentioning
confidence: 99%
“…On-demand access and analysis of integrated and individual patient clinical and transcriptomics data can lead to the identification of diagnostic signatures for early dissemination of oncology and non-oncology disorders [ 51 , 52 ]. It can support better aligning of known disease biomarkers with established treatments necessary for real-time personalized care.…”
Section: Discussionmentioning
confidence: 99%
“…However, these data can still be used to improve the GEM by finding reactions directionality as well as finding missing functions. Additionally, analysis of metabolomics data alone or in combination with proteomics data, can promise accurate assessment of pathway flux, cofactor imbalance as well as carbon balance diversion which will further aid in finding pathway bottlenecks in strain design (Amer & Baidoo, 2021).…”
Section: Discussionmentioning
confidence: 99%