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Quantitative analysis of the yeast pheromone pathway.
Shellhammer, James P; Pomeroy, Amy E; Li, Yang; Dujmusic, Lorena; Elston, Timothy C; Hao, Nan; Dohlman, Henrik G.
Affiliation
  • Shellhammer JP; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Pomeroy AE; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Li Y; Division of Biological Sciences, University of California San Diego, San Diego, CA, 92093, USA.
  • Dujmusic L; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Elston TC; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Hao N; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Dohlman HG; Division of Biological Sciences, University of California San Diego, San Diego, CA, 92093, USA.
Yeast ; 36(8): 495-518, 2019 08.
Article in En | MEDLINE | ID: mdl-31022772
ABSTRACT
The pheromone response pathway of the yeast Saccharomyces cerevisiae is a well-established model for the study of G proteins and mitogen-activated protein kinase (MAPK) cascades. Our longstanding ability to combine sophisticated genetic approaches with established functional assays has provided a thorough understanding of signalling mechanisms and regulation. In this report, we compare new and established methods used to quantify pheromone-dependent MAPK phosphorylation, transcriptional induction, mating morphogenesis, and gradient tracking. These include both single-cell and population-based assays of activity. We describe several technical advances, provide example data for benchmark mutants, highlight important differences between newer and established methodologies, and compare the advantages and disadvantages of each as applied to the yeast model. Quantitative measurements of pathway activity have been used to develop mathematical models and reveal new regulatory mechanisms in yeast. It is our expectation that experimental and computational approaches developed in yeast may eventually be adapted to human systems biology and pharmacology.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pheromones / Saccharomyces cerevisiae / Signal Transduction Language: En Journal: Yeast Journal subject: MICROBIOLOGIA Year: 2019 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pheromones / Saccharomyces cerevisiae / Signal Transduction Language: En Journal: Yeast Journal subject: MICROBIOLOGIA Year: 2019 Type: Article Affiliation country: United States