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dc.contributor.authorKwon, Ukjin
dc.contributor.authorHuang, Hsin-Ho
dc.contributor.authorChávez, Jorge L
dc.contributor.authorBeabout, Kathryn
dc.contributor.authorHarbaugh, Svetlana
dc.contributor.authorDel Vecchio, Domitilla
dc.date.accessioned2023-06-09T16:48:42Z
dc.date.available2023-06-09T16:48:42Z
dc.date.issued2023-04-11
dc.identifier.urihttps://hdl.handle.net/1721.1/150890
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>A ratiometric response gives an output that is proportional to the ratio between the magnitudes of two inputs. Ratio computation has been observed in nature and is also needed in the development of smart probiotics and organoids. Here, we achieve ratiometric gene expression response in bacteria Escherichia coli with the incoherent merger network. In this network, one input molecule activates expression of the output protein while the other molecule activates an intermediate protein that enhances the output’s degradation. When degradation rate is first order and faster than dilution, the output responds linearly to the ratio between the input molecules’ levels over a wide range with R2 close to 1. Response sensitivity can be quantitatively tuned by varying the output’s translation rate. Furthermore, ratiometric responses are robust to global perturbations in cellular components that influence gene expression because such perturbations affect the output through an incoherent feedforward loop. This work demonstrates a new molecular signal processing mechanism for multiplexed sense-and-respond circuits that are robust to intra-cellular context.</jats:p>en_US
dc.language.isoen
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionof10.1093/nar/gkad087en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceOUPen_US
dc.titleIncoherent merger network for robust ratiometric gene expression responseen_US
dc.typeArticleen_US
dc.identifier.citationKwon, Ukjin, Huang, Hsin-Ho, Chávez, Jorge L, Beabout, Kathryn, Harbaugh, Svetlana et al. 2023. "Incoherent merger network for robust ratiometric gene expression response." Nucleic Acids Research, 51 (6).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.relation.journalNucleic Acids Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-06-09T16:45:37Z
dspace.orderedauthorsKwon, U; Huang, H-H; Chávez, JL; Beabout, K; Harbaugh, S; Del Vecchio, Den_US
dspace.date.submission2023-06-09T16:45:40Z
mit.journal.volume51en_US
mit.journal.issue6en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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