Project description:Yeast cells were treated with different doses of pheromone in order to obtain dose-response profiles for induced genes. Specifically, dose-dependencies of transcriptional feedback regulators of the pheromone-response pathway were quantified.
Project description:Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATα. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering “transvestite” cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATα-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone.
Project description:The regulation of cell cycle progression in response to environmental cues is essential for cellular adaptation. In Saccharomyces cerevisiae, the BAR1 gene modulates sensitivity to the mating pheromone α-factor, which induces cell cycle arrest. Here we investigated the dynamic proteomic response in the bar1 deletion strain using a 27-plex experimental design with TMTproD isobaric labeling. Asynchronous bar1Δ cells were arrested with α-factor and then released from the pheromone arrest. We acquired three replicate protein abundance time-course profiles following pheromone (α-factor) washout, with samples collected at eight time points from 0 to 165 minutes post-washout. Using higher-order TMTpro sample multiplexing, we generated global temporal profiles of protein abundance associated with recovery from pheromone-induced arrest. Our findings identify specific proteins and pathways involved in cell cycle re-entry and in the attenuation of the pheromone signal, providing insights into the regulatory mechanisms of mating response in yeast. This study contributes significantly to dynamic proteomic analysis in cell cycle progression. We present a powerful approach for investigating complex cellular processes and showcase cell cycle progression following pheromone washout in yeast.
Project description:Kar4 is a putative transcription factor essential for mating in the budding yeast Saccharomyces cerevisiae. Kar4 has been shown to function with Ste12, the master transcriptional regulator of the yeast mating pheromone response, to promote the transcription of a subset of Ste12 targets required for efficient mating. However, the mechanism by which Kar4 modulates Ste12 activity has remained uncertain. Here, we examine the effect of Kar4 on the mating pheromone response via ChIP-exo
Project description:Kar4 is a putative transcription factor essential for mating in the budding yeast Saccharomyces cerevisiae. Kar4 has been shown to function with Ste12, the master transcriptional regulator of the yeast mating pheromone response, to promote the transcription of a subset of Ste12 targets required for efficient mating. However, the mechanism by which Kar4 modulates Ste12 activity has remained uncertain. Here, we examine the effect of Kar4 on the mating pheromone response at the levels of transcription (RNA-seq)
Project description:Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATM-NM-1. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering M-bM-^@M-^\transvestiteM-bM-^@M-^] cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATM-NM-1-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone. 4 conditions were analysed, each with 3 biological replicates. The conditions were unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM M-NM-1-factor. Unstimulated MATM-NM-1 cells in YPD. Stimulated MATM-NM-1 cells in YPD+10nM M-NM-1-factor.