Many neuro-degenerative and metabolic diseases like Parkinson’s and Alzheimer’s are attributed to the effect of mis-folded and aggregated state of proteins in cells. This suggests that the phenomenon of in vivo protein aggregation may be relatively common, perhaps more than currently appreciated. In this study, we aimed to decipher the cause behind an intriguing and potentially related phenomenon observed in yeast cells - a widespread reorganization of hundreds of cytosolic proteins into punctate foci under starvation conditions. The key question that emerges is whether this phenomenon represents organization of proteins into functional assemblies or catastrophic aggregation. This thesis supports the aggregation hypothesis and provides evidence of its role in shaping the dynamics of cellular proteomes.
We have been able to demonstrate that the proteins forming foci share a high propensity to aggregate and that these foci may represent sites of homogenous protein aggregation, structures which are typically associated with chaperones. A link between the formation of foci to the yeast aging process has also been established. With evidence correlating protein aggregation propensities to the cellular energy state, we have extended the current "living on the edge" hypothesis (which demonstrates an inverse correlation between protein expression levels and their aggregation propensities). For a specific case of the "purinosome", which is inferred to be a functional enzyme complex responsible for purine biosynthesis, we have shown that the observations may be explained alternatively as a generic protein aggregation phenomenon. This study highlights a systems approach to studying cellular proteins, which can corroborate or provide an alternative explanation to inferences drawn from traditional reductionistic analysis. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/ETD-UT-2011-05-2883 |
| Date | 02 July 2012 |
| Creators | Tsechansky, Mark |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | thesis |
| Format | application/pdf |
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