Evaluation of protein aggregation and organismal fitness

dc.contributor.advisorEllington, Andrew D.en
dc.contributor.committeeMemberMarcotte, Edwarden
dc.contributor.committeeMemberWhiteley, Marvinen
dc.contributor.committeeMemberWilke, Claus O.en
dc.contributor.committeeMemberWillets, Katherineen
dc.creatorStovall, Gwendolyn Motzen
dc.date.accessioned2011-06-01T21:13:08Zen
dc.date.available2011-06-01T21:13:08Zen
dc.date.available2011-06-01T21:13:24Zen
dc.date.issued2011-05en
dc.date.submittedMay 2011en
dc.date.updated2011-06-01T21:13:24Zen
dc.descriptiontexten
dc.description.abstractIn quiescent yeast, the widespread reorganization of cytosolic proteins into punctate has been observed (Narayanaswamy et al. 2009). We seek to better understand and describe this reorganization, which we hypothesize to be a protein aggregation phenomenon. To test this hypothesis, we examined mutant proteins (Ade4p protein variants) in yeast with predicted non-native aggregation propensities and measured their punctate formation kinetics. Monitoring punctate formation kinetics involved the validation of an automated quantification technique using an Amnis ImageStream imaging flow cytometer. The automated punctate counts were strongly correlated with the manual punctate counts, with usual R² values of 0.99 or better, but evaluated 50-fold more cells per run. Fitness evaluations of the mutant yeast in the form of growth curves and batch competition experiments revealed the slowed growth of the Ade4-1286 strain and the functional inequality to the wild type strain of the Ade4-mtoin2034, Ade4-mtoin2105, and Ade4-2800 strains in competition experiments, especially when the mutants were forced to generate their own adenine. Subsequent structural analysis of the mutant proteins revealed destabilizing mutations for 4 of the 6 mutant proteins with 2 of the mutations classified as significantly destabilizing ([delta][delta]G >2 kcal/mol). We concluded that the reduction in protein fitness was likely due to the destabilizing effects of the mutations. Evaluation of the punctate formation kinetics revealed little difference between strains in the rate of punctate formation. Further examination revealed the wild type Ade4p and all of the mutants (with the exception of the Ade4-1286 mutant) were predicted to have similar aggregation propensities according to a secondary aggregation predicting algorithm (Zyggregator, Pawar et al. 2005). Additionally, solvent accessibility calculations estimate ~3-19% of the side chain surface area to be solvent accessible, which indicates proximity of mutations to the protein surface. However, mutating buried amino acids likely would have generated a greater disturbance (Matthews 1993, Tokuriki et al. 2007). We concluded that the mutations, although destabilizing, altered the aggregation propensity very little. Deletion of chaperone proteins (Hsp82p, Hsc82p, and Ssa1p) revealed no difference in the Ade4-GFP punctate formation kinetics, although a slight kinetic difference was detected in the chaperone (Hsp82p) knockout, Gln1-GFP strain and the wild type strain. While further workup is necessary in the chaperone knockout, Gln1-GFP work, the initial results are promising and suggest the involvement of protein folding machinery in punctate formation.en
dc.description.departmentBiochemistryen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-05-2841en
dc.language.isoengen
dc.subjectProtein aggregationen
dc.subjectPhosphoribosylpyrophosphate amidotransferaseen
dc.subjectAde4en
dc.subjectTANGO algorithmen
dc.subjectSaccharomycesen
dc.subjectPunctateen
dc.titleEvaluation of protein aggregation and organismal fitnessen
dc.type.genrethesisen
thesis.degree.departmentBiochemistryen
thesis.degree.disciplineBiochemistryen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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