Show simple item record

dc.contributor.authorVilaprinyo Terré, Ester
dc.contributor.authorAlves, Rui
dc.contributor.authorSorribas Tello, Albert
dc.date.accessioned2010-04-15T07:20:24Z
dc.date.available2010-04-15T07:20:24Z
dc.date.issued2006
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/10459.1/319
dc.description.abstractBackground: Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environmental cues is crucial in explaining how cells cope with stress. For example, adaptation of yeast to heat shock involves a characteristic profile of changes to the expression levels of genes coding for enzymes of the glycolytic pathway and some of its branches. The experimental determination of changes in gene expression profiles provides a descriptive picture of the adaptive response to stress. However, it does not explain why a particular profile is selected for any given response. Results: We used mathematical models and analysis of in silico gene expression profiles (GEPs) to understand how changes in gene expression correlate to an efficient response of yeast cells to heat shock. An exhaustive set of GEPs, matched with the corresponding set of enzyme activities, was simulated and analyzed. The effectiveness of each profile in the response to heat shock was evaluated according to relevant physiological and functional criteria. The small subset of GEPs that lead to effective physiological responses after heat shock was identified as the result of the tuning of several evolutionary criteria. The experimentally observed transcriptional changes in response to heat shock belong to this set and can be explained by quantitative design principles at the physiological level that ultimately constrain changes in gene expression. Conclusion: Our theoretical approach suggests a method for understanding the combined effect of changes in the expression of multiple genes on the activity of metabolic pathways, and consequently on the adaptation of cellular metabolism to heat shock. This method identifies quantitative design principles that facilitate understating the response of the cell to stress.ca_ES
dc.language.isoengca_ES
dc.publisherBioMed Centralca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1186%2F1471-2105-7-184
dc.relation.ispartofBMC Bioinformatics, 2006, vol. 7, núm. 184, p. 1-19ca_ES
dc.rightscc-by, (c) Vilaprinyo et al., 2006ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/es/deed.caca_ES
dc.subject.otherLlevats -- Biotecnologiaca_ES
dc.subject.otherEnginyeria genèticaca_ES
dc.subject.otherExpressió genèticaca_ES
dc.titleUse of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shockca_ES
dc.typearticleca_ES
dc.identifier.idgrec009118
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1186%2F1471-2105-7-184


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

cc-by, (c) Vilaprinyo et al., 2006
Except where otherwise noted, this item's license is described as cc-by, (c) Vilaprinyo et al., 2006