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dc.contributor.author Holst Hansen, Thomas
dc.contributor.author Abad Adan, Elena
dc.contributor.author Muntasell i Castellví, Aura, 1972-
dc.contributor.author López-Botet, Miguel
dc.contributor.author Jensen, Mogens
dc.contributor.author Trusina, Ala
dc.contributor.author García Ojalvo, Jordi
dc.date.accessioned 2018-04-11T07:24:46Z
dc.date.issued 2017
dc.identifier.citation Holst-Hansen T, Abad E, Muntasell A, López-Botet M, Jensen MH, Trusina A et al. Impact of zygosity on bimodal phenotype distributions. Biophys J. 2017 Jul 11;113(1):148-56. DOI: 10.1016/j.bpj.2017.05.010
dc.identifier.issn 0006-3495
dc.identifier.uri http://hdl.handle.net/10230/34329
dc.description.abstract Allele number, or zygosity, is a clear determinant of gene expression in diploid cells. However, the relationship between the number of copies of a gene and its expression can be hard to anticipate, especially when the gene in question is embedded in a regulatory circuit that contains feedback. Here, we study this question making use of the natural genetic variability of human populations, which allows us to compare the expression profiles of a receptor protein in natural killer cells among donors infected with human cytomegalovirus with one or two copies of the allele. Crucially, the distribution of gene expression in many of the donors is bimodal, which indicates the presence of a positive feedback loop somewhere in the regulatory environment of the gene. Three separate gene-circuit models differing in the location of the positive feedback loop with respect to the gene can all reproduce the homozygous data. However, when the resulting fitted models are applied to the hemizygous donors, one model (the one with the positive feedback located at the level of gene transcription) is superior in describing the experimentally observed gene-expression profile. In that way, our work shows that zygosity can help us relate the structure and function of gene regulatory networks
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Biophysical Journal. 2017 Jul 11;113(1):148-56
dc.rights © Elsevier http://dx.doi.org/10.1016/j.bpj.2017.05.010
dc.subject.other Citomegalovirus
dc.subject.other Fenotip
dc.subject.other Proteïnes
dc.title Impact of zygosity on bimodal phenotype distributions
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.bpj.2017.05.010
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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