Research Mentor(s)
Pollard, Dan A.
Description
The MAPKinase pathway is commonly involved in cell differentiation and growth processes. To study the kinetics of this pathway in regards to the effects of several genetic and environmental factors, we have chosen the popular model of pheromone response in yeast, Saccharomyces cerevisiae. Our data showed significant differences based on strain that seem to match previous data. Surprisingly, there were no measurable trends based on concentration, but results indicate that temperature may be positively correlated with response rate and may vary between strains. Future experiments will be aimed towards statistically defining the effects of each variable and creating a mathematical model that can be used to predict the outcomes of untested temperature and concentration conditions.
Document Type
Event
Start Date
17-5-2018 12:00 PM
End Date
17-5-2018 3:00 PM
Department
Biology
Genre/Form
student projects, posters
Subjects – Topical (LCSH)
Cellular control mechanisms; Cell metabolism
Type
Image
Keywords
Yeast, Saccharomyces cerevisiae, mating pheromone, rate of response, temperature, concentration, MAPK
Rights
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.
Language
English
Format
application/pdf
Included in
Measuring environmental & genetic effects on cell differentiation kinetics in yeast
The MAPKinase pathway is commonly involved in cell differentiation and growth processes. To study the kinetics of this pathway in regards to the effects of several genetic and environmental factors, we have chosen the popular model of pheromone response in yeast, Saccharomyces cerevisiae. Our data showed significant differences based on strain that seem to match previous data. Surprisingly, there were no measurable trends based on concentration, but results indicate that temperature may be positively correlated with response rate and may vary between strains. Future experiments will be aimed towards statistically defining the effects of each variable and creating a mathematical model that can be used to predict the outcomes of untested temperature and concentration conditions.