Suppressing mitotic catastrophe: identifying mcs3 in Schizosaccharomyces pombe

In Schizosaccharomyces pombe (fission yeast), the transition from G2 phase of the cell cycle to mitosis is under strict regulation. The activation of Cdc2, a cyclin dependent serine/threonine protein kinase, is the critical control step in this process. The Cdc2/Cyclin-B (Cdc13) complex is regulated by Wee1 tyrosine kinase and Cdc25 tyrosine phosphatase, which work antagonistically to control progression into mitosis. Hyperactivation of the Cdc2/Cdc13 complex by phosphorylation results in premature mitosis, and as a consequence leads to genome instability. This is referred to as mitotic catastrophe, a lethal phenotype associated with chromosomal segregation abnormalities including chromosome breakage. Six mitotic catastrophe loci were found, five of which have been characterized and identified as various activators and repressors of the core mitotic control. The locus for mcs3 remains unknown. I used tetrad analysis in this study to determine the linkage distance between three genes suspected of flanking the region in which mcs3 is located. Linkage distances obtained in this study confirm that the SPBC428.10 and met17, as well as SPBC428.10 and wpl1 are tightly linked, suggesting this is an area of low recombination. Further linkage analysis should be conducted to determine the precise location of mcs3-12.

Multivariate Techniques in Biomechanical Analysis

This work outlines the theoretical advantages of multivariate methods in biomechanical data, validates the proposed methods and outlines new clinical findings relating to knee osteoarthritis that were made possible by this approach. New techniques were based on existing multivariate approaches, Partial Least Squares (PLS) and Non-negative Matrix Factorization (NMF) and validated using existing data sets. The new techniques developed, PCA-PLS-LDA (Principal Component Analysis – Partial Least Squares – Linear Discriminant Analysis), PCA-PLS-MLR (Principal Component Analysis – Partial Least Squares –Multiple Linear Regression) and Waveform Similarity (based on NMF) were developed to address the challenging characteristics of biomechanical data, variability and correlation. As a result, these new structure-seeking technique revealed new clinical findings. The first new clinical finding relates to the relationship between pain, radiographic severity and mechanics. Simultaneous analysis of pain and radiographic severity outcomes, a first in biomechanics, revealed that the knee adduction moment’s relationship to radiographic features is mediated by pain in subjects with moderate osteoarthritis. The second clinical finding was quantifying the importance of neuromuscular patterns in brace effectiveness for patients with knee osteoarthritis. I found that brace effectiveness was more related to the patient’s unbraced neuromuscular patterns than it was to mechanics, and that these neuromuscular patterns were more complicated than simply increased overall muscle activity, as previously thought.