2007
DOI: 10.1038/nature05561
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MAPK-mediated bimodal gene expression and adaptive gradient sensing in yeast

Abstract: The mating pathway in Saccharomyces cerevisiae has been the focus of considerable research effort, yet many quantitative aspects of its regulation still remain unknown. Using an integrated approach involving experiments in microfluidic chips and computational modelling, we studied gene expression and phenotypic changes associated with the mating response under well-defined pheromone gradients. Here we report a combination of switch-like and graded pathway responses leading to stochastic phenotype determination… Show more

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Cited by 272 publications
(315 citation statements)
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“…Therefore, the expression levels of the states do not affect the frequency and bias of switching. Systems that generate bimodality through feedback can, under the right conditions, produce some behaviours that have been observed, such as a graded unimodal response [41][42][43][44][45][46] . However, the feedback makes it more difficult to tune phenotypic variation and mean expression.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the expression levels of the states do not affect the frequency and bias of switching. Systems that generate bimodality through feedback can, under the right conditions, produce some behaviours that have been observed, such as a graded unimodal response [41][42][43][44][45][46] . However, the feedback makes it more difficult to tune phenotypic variation and mean expression.…”
Section: Discussionmentioning
confidence: 99%
“…The combination of fluorescent reporters and quantitative microscopy has recently been used to address cell-cell variability in the yeast mating response under constant environmental conditions (2,16). Such techniques are scalable to highthroughput formats in multiwell plates but provide only crude control over the microenvironment and are poorly suited to the study of response dynamics or history effects.…”
mentioning
confidence: 99%
“…These networks feature emergent properties, including bistability, adaptation, and memory that make their behavior inherently dependent on previous stimulation and current cell states. As examples, system bistability provides a selective advantage by allowing populations of cells to test the responses of alternative states to a given condition (1,2); network adaptation to a sustained change in stimulant concentration limits the metabolic cost of a sustained response (3,4); and network memory allows more rapid accommodation of recurrent stimulations (5,6). Because of experimental tractability, these emergent properties were first studied in model systems and have recently been uncovered in key mammalian regulatory networks, including those dysregulated in disease (7).…”
mentioning
confidence: 99%
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“…Due to the small volume present in these devices, the media switching times can be in the order of a few seconds. Using diffusion between two different media, it is also possible to generate stable concentration gradients for example to study the establishment of oriented cell polarity 40 . Another benefit of the small dimensions of microfluidic devices is the possibility to keep all cells in the same focal plane for multiple generations by designing chambers with a height of only a few microns 41,42 .…”
mentioning
confidence: 99%