dc.citation.conferencePlace |
KO |
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dc.citation.title |
KIAS Workshop on Complex Systems and Data Science |
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dc.contributor.author |
Ghim, Cheol-Min |
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dc.date.accessioned |
2024-01-31T21:39:47Z |
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dc.date.available |
2024-01-31T21:39:47Z |
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dc.date.created |
2021-07-31 |
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dc.date.issued |
2021-06-24 |
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dc.description.abstract |
Origins and consequences of cell-to-cell variability are essential to the understanding of diverse biological processes underlying the development, aging, immune response, and tumorigenesis, just to name a few. As a micrometer-sized chemical reactor, living cells call for analytical frameworks that respect the stochasticity of biochemical reactions and discrete nature of macromolecules. In the earlier part of the talk, I propose some rationales of genetic noise for tuning the functional stability of a simple synthetic gene switch. The latter part of the talk will focus on the effects of zygosity of diploid cells, which adds another dimension to stochastic gene expression. I will introduce the diploid gene expression systems with homo- and heterozygous combination of alleles in the cis-regulatory sequences and characterize the noise profiles associated with zygosity. An emerging feat of heterozygosity is its counterintuitive capacity for genetic noise control, which offers a novel insight into the rich repertoire of balancing selection enriched in the regulatory sequences of the immune response genes. |
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dc.identifier.bibliographicCitation |
KIAS Workshop on Complex Systems and Data Science |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/77254 |
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dc.language |
한국어 |
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dc.publisher |
Korea Institute for Advanced Study |
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dc.title |
Genetic Noise from Control Perspective |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2021-06-23 |
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