DC Field | Value | Language |
---|---|---|
dc.contributor.author | Taeok Kim | - |
dc.contributor.author | Minji Ko | - |
dc.contributor.author | Eugene Rha | - |
dc.contributor.author | Haseong Kim | - |
dc.contributor.author | Hyewon Lee | - |
dc.date.accessioned | 2024-03-11T16:33:09Z | - |
dc.date.available | 2024-03-11T16:33:09Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 1226-8372 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/33793 | - |
dc.description.abstract | The interdisciplinary nature of synthetic biology merges engineering principles with biology and provides innovative solutions for issues in the biomanufacturing industry. To develop industrially applicable biocatalysts and/or microbial cell factories, a design-build-test-learn cycle-based iterative process is necessary, which is often time-consuming and labor-intensive. The integration of microfluidic technologies into synthetic biology can accelerate these processes, particularly for achieving high-throughput phenotyping and screening. In this review, we examine the potential of microfluidic technologies to revolutionize synthetic biology. Although commercial microfluidics demonstrate superior throughput for single-cell assays, their application can be limited, for example, in cases where products are retained inside the cells. Droplet microfluidics, on the other hand, is a rather flexible platform and shows high diversity in single-cell, cell-to-cell interaction-based, and cell-free reaction-based analyses. By examining previous studies, we have summarized the potential of microfluidic technologies to foster sustainable biomanufacturing and advanced biological engineering. | - |
dc.publisher | Springer | - |
dc.title | Microfluidics-driven high-throughput phenotyping and screening in synthetic biology: from single cells to cell-free systems | - |
dc.title.alternative | Microfluidics-driven high-throughput phenotyping and screening in synthetic biology: from single cells to cell-free systems | - |
dc.type | Article | - |
dc.citation.title | Biotechnology and Bioprocess Engineering | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 33 | - |
dc.citation.startPage | 25 | - |
dc.citation.volume | 29 | - |
dc.contributor.affiliatedAuthor | Taeok Kim | - |
dc.contributor.affiliatedAuthor | Minji Ko | - |
dc.contributor.affiliatedAuthor | Eugene Rha | - |
dc.contributor.affiliatedAuthor | Haseong Kim | - |
dc.contributor.affiliatedAuthor | Hyewon Lee | - |
dc.contributor.alternativeName | 김태옥 | - |
dc.contributor.alternativeName | 고민지 | - |
dc.contributor.alternativeName | 나유진 | - |
dc.contributor.alternativeName | 김하성 | - |
dc.contributor.alternativeName | 이혜원 | - |
dc.identifier.bibliographicCitation | Biotechnology and Bioprocess Engineering, vol. 29, pp. 25-33 | - |
dc.identifier.doi | 10.1007/s12257-024-00016-6 | - |
dc.subject.keyword | Microfuidics | - |
dc.subject.keyword | Synthetic biology | - |
dc.subject.keyword | High-throughput screening | - |
dc.subject.keyword | Biofoundry | - |
dc.subject.local | Synthetic Biology | - |
dc.subject.local | Synthetic biology | - |
dc.subject.local | synthetic biology | - |
dc.subject.local | High-throughput screening | - |
dc.subject.local | High-throughput screening (HTS) | - |
dc.subject.local | high-throughput screening | - |
dc.subject.local | highthroughput screening | - |
dc.subject.local | biofoundry | - |
dc.subject.local | Biofoundry | - |
dc.description.journalClass | Y | - |
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