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- 저자 : Jewett (검색결과 5 건)
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The Role of High-throughput Transcriptome Analysis in Metabolic Engineering
Jewett, Michael C.,Oliveira, Ana Paula,Patil, Kiran Raosaheb,Nielsen, Jens The Korean Society for Biotechnology and Bioengine 2005 Biotechnology and Bioprocess Engineering Vol.10 No.5
The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.
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Bioengineering beyond Cells to Enable a Fair and Sustainable 21st Bio-century
Michael C. JEWETT 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Synthetic Biology (SB) is one of the most promising fields of research for the 21st century. SB offers powerful new ways to improve human health, build the global economy, manufacture sustainable materials, and address climate change. However, current access to SB-enabled breakthroughs is unequal, largely due to bottlenecks in infrastructure and education. Here, I describe our efforts to re-think the way we engineer biology using cell-free systems to address these bottlenecks. We show how the ability to readily store, distribute, and activate low-cost, freeze-dried cell-free systems by simply adding water has opened new opportunities for on-demand biomanufacturing of vaccines for global health, point-of-care diagnostics for environmental safety, and education for SB literacy and citizenship. By integrating cell-free systems with artificial intelligence (AI), we also show the ability to accelerate the production of carbon-negative platform chemicals. Looking forward, advances in engineering tools and new knowledge underpinning the fundamental science of living matter will ensure that SB helps solve humanity’s most pressing challenges.
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The Role of Apoptosis in Keloid Formation
Messadi, Diana V.,Anna Jewett,Le, Anh,Steve Berg,Zhuang Wen,Bertolami, Charles N. Korean Academy of Oral Biology and the UCLA Dental 1998 International Journal of Oral Biology Vol.23 No.1
In traumatic injuries, hypertrophic scarring and keloid formation are serious derangements of healing that are defined primarily by an abnormal accumulation of extracellular matrix. The precise molecular and biochemical dysfunctions that lead to such conditions are still unknown. The role of apoptosis, a form of cell death, has recently been elucidated as playing a role in the transition between granulation tissue and scar formation. In this study we assessed the potential role of apoptosis in keloid formation. Normal skin and keloid tissues were immunolabeled for DNA strand breaks using an in situ end labeling fluorescein kit. Both types of tissue demonstrated apoptotic cells in the epidermis and papillary dermis. Quantitative analysis of apoptotic cells was performed using flow cytometry analysis on fibroblasts derived from normal skin and keloid tissues that were stimulated to undergo apoptosis by anti-Fas antibody and TNF-α. Results show that normal skin fibroblasts have a three-fold higher percentage of apoptotic cells than keloid fibroblasts.
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The Role of High-throughput Transcriptome Analysis in Metabolic Engineering
Jens Nielsen,Ana Paula Oliveira,Kiran Raosaheb Patil,Michael C. Jewett 한국생물공학회 2005 Biotechnology and Bioprocess Engineering Vol.10 No.5
The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied in strain improvement programs in an attempt to identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns. This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehen-sively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more ef-fective strategies to rewire the cellular control elements for metabolic engineering.
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Cell-free Biosynthesis of Peptidomimetics
이강훈,Jessica A. Willi,조남진,김인선,Michael C. Jewett,이준구 한국생물공학회 2023 Biotechnology and Bioprocess Engineering Vol.28 No.6
A wide variety of peptidomimetics (peptide analogs) possessing innovative biological functions have been brought forth as therapeutic candidates through cell-free protein synthesis (CFPS) systems. A key feature of these peptidomimetic drugs is the use of non-canonical amino acid building blocks with diverse biochemical properties that expand functional diversity. Here, we summarize recent technologies leveraging CFPS platforms to expand the reach of peptidomimetic drugs. We also offer perspectives on engineering the translational machinery that may open new opportunities for expanding genetically encoded chemistry to transform drug discovery practice beyond traditional boundaries.
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