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A robust ultrasensitive transcriptional switch in noisy cellular environments

DC Field Value Language
dc.contributor.authorEui Min Jeong-
dc.contributor.authorJae Kyoung Kim-
dc.date.accessioned2024-04-22T08:50:03Z-
dc.date.available2024-04-22T08:50:03Z-
dc.date.created2024-03-25-
dc.date.issued2024-03-
dc.identifier.issn2056-7189-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/15120-
dc.description.abstractUltrasensitive transcriptional switches enable sharp transitions between transcriptional on and off states and are essential for cells to respond to environmental cues with high fidelity. However, conventional switches, which rely on direct repressor-DNA binding, are extremely noise-sensitive, leading to unintended changes in gene expression. Here, through model simulations and analysis, we discovered that an alternative design combining three indirect transcriptional repression mechanisms, sequestration, blocking, and displacement, can generate a noise-resilient ultrasensitive switch. Although sequestration alone can generate an ultrasensitive switch, it remains sensitive to noise because the unintended transcriptional state induced by noise persists for long periods. However, by jointly utilizing blocking and displacement, these noise-induced transitions can be rapidly restored to the original transcriptional state. Because this transcriptional switch is effective in noisy cellular contexts, it goes beyond previous synthetic transcriptional switches, making it particularly valuable for robust synthetic system design. Our findings also provide insights into the evolution of robust ultrasensitive switches in cells. Specifically, the concurrent use of seemingly redundant indirect repression mechanisms in diverse biological systems appears to be a strategy to achieve noise-resilience of ultrasensitive switches.-
dc.language영어-
dc.publisherSystems Biology Instititute | Nature Publishing Group-
dc.titleA robust ultrasensitive transcriptional switch in noisy cellular environments-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid001185752700001-
dc.identifier.scopusid2-s2.0-85187948414-
dc.identifier.rimsid82802-
dc.contributor.affiliatedAuthorEui Min Jeong-
dc.contributor.affiliatedAuthorJae Kyoung Kim-
dc.identifier.doi10.1038/s41540-024-00356-2-
dc.identifier.bibliographicCitationnpj Systems Biology and Applications, v.10, no.1-
dc.relation.isPartOfnpj Systems Biology and Applications-
dc.citation.titlenpj Systems Biology and Applications-
dc.citation.volume10-
dc.citation.number1-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusDNA-BINDING-
dc.subject.keywordPlusPROTEIN-
dc.subject.keywordPlusREPRESSION-
dc.subject.keywordPlusCRYPTOCHROME-
Appears in Collections:
Pioneer Research Center for Mathematical and Computational Sciences(수리 및 계산과학 연구단) > Biomedical Mathematics Group(의생명 수학 그룹) > 1. Journal Papers (저널논문)
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