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김철민

Ghim, Cheol-Min
Physical Biology Biological Physics Lab.
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dc.citation.conferencePlace KO -
dc.citation.title KIAS Workshop on Complex Systems and Data Science -
dc.contributor.author Ghim, Cheol-Min -
dc.date.accessioned 2024-01-31T21:39:47Z -
dc.date.available 2024-01-31T21:39:47Z -
dc.date.created 2021-07-31 -
dc.date.issued 2021-06-24 -
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. -
dc.identifier.bibliographicCitation KIAS Workshop on Complex Systems and Data Science -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/77254 -
dc.language 한국어 -
dc.publisher Korea Institute for Advanced Study -
dc.title Genetic Noise from Control Perspective -
dc.type Conference Paper -
dc.date.conferenceDate 2021-06-23 -

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