A proteome-wide strategy reveals a novel mechanism of control of cell cycle progression through modulation of cyclin mRNA stability

The quantity of data generated within the framework of protein-protein interaction network large-scale studies exceeds our capacity to analyze them and to understand their meaning; on one hand, by their complexity and their number, and on the other hand, by the quality of the produced data, which are populated with spurious interactions. This dissertation describes new applications of a protein-fragments complementation assay (PCA) to screen for interactions among all proteins in the budding yeast Saccharomyces cerevisiae. This approach is carried out in intact cells, with proteins expressed in their native contexts and under their endogenous promoter, thus assuring correct post-translational modifications and subcellular localization. A further novel application of PCA is described for investigating proteome wide changes in response to cellular adaptation to stresses, such as nutrient starvations and drug treatments. Finally, as a result of the latter strategy applied to characterizing proteome-wide response to the immunosuppressant drug, rapamycin, I describe the discovery of an unforeseen mechanism of modulating cell cycle progression through control of cyclin mRNA stability.  In the first chapter of this dissertation, I present a pairwise screen of interactions among proteins resulting from the ~6000 open reading frames in Saccharomyces cerevisiae. We identified 2770 interactions among 1124 proteins. We estimated the quality of our screen by comparing our results to curated gold standard data and coverage of known interactions to all previous studies. The majority of our interactions were novel, but overlap with data from previous studies was as high as 40%. PCA is based on refolding of the reporter protein from complementary N- and C- terminal fragments following interaction of the two proteins to which they are fused. Thus, reporter activity is sterrically limited to interactions in which the termini of the proteins to which the complementary reporter fragments are fused are sufficiently close in space. In the case of our reporter, this limit was 8 nm. Thus PCA is a molecular ruler, providing information on both direct protein-protein interactions and sterrically restricted distances between proteins in complexes. We benchmarked and demonstrated correct topological relationships for a number of known complexes, including the proteasome, RNA polymerase II and the nuclear pore complex. Thus our study provided, for the first time, a topological map of complex organization in a living cell. The integration of the results from such efforts with those of gene regulation dynamics and protein modifications will lead to a fuller understanding of how complex cellular processes are orchestrated at a molecular and structural level in the living cell.  In chapter 2, I describe the results of an application of PCA to study the dynamic rearrangement of the proteome under a specific stress; treatment of cells with rapamycin. The results of these efforts were the identification of a novel mechanism of cell cycle control at the level of cyclin mRNA. Specifically, we discovered that the balance between the phosphorylated and dephosphorylated forms of the Saccharomyces cerevisiae arginine methyltransferase, Hmt1, regulates both its assembly into a hexamer and its enzymatic activity. The Hmt1 activity modulates cell cycle progression through stabilizing the B cyclin CLB2 mRNA. We then used PCA to identify the Hmt1 regulators under rapamycin treatment. We identified the catalytic subunit of the PP2a phosphatase, Pph22, activated by the inhibition of TOR, and the kinase Dbf2, activated during entry into mitosis, as the phosphatase and the kinase responsible for the modification of Hmt1 and for its regulatory functions in the cell cycle.  I thus, in the end close the circle I began in this summary, going from large-scale discovery of protein-protein interactions, to mapping dynamics of proteome changes during an adaptation and finally to mechanistic insight into a primordial control mechanism in cellular dynamics. The strategies that we devised to discover this mechanism can be generalized to identify and mechanistically link genes together, including those of unknown function, to any cellular process.

Keyphrases: Biochemistry, Cell cycle, Régulation post-transcriptionelle, Post-transcriptional regulation, Cyclin regulation, TOR pathway