The domestic dog, Canis lupus familiaris, is a unique model system for the dissection of hereditary diseases. Selective breeding practices have created more than 300 distinct breeds of dogs, born from a desire to create specific physical and behavioral characteristics. Breeds represent closed breeding populations and the extensive records maintained for members of each breed (e.g., multi-generational pedigrees, veterinary medical records) present an incredible tool for genetic research. Two closed populations were used in the work presented here: a colony of mixed-breed dogs segregating resistance and sensitivity to cholesterol feeding, and a purebred pet population of Havanese experiencing a high frequency of developmental abnormalities. Estimates of heritability were calculated for each disease to evaluate the degree of phenotypic variation attributable to genetics among dogs in the populations used. A heritability of 0.55 (± 0.16) was identified for cholesterol resistance and sensitivity in the mixed-breed colony. The small sample size prevented the use of complex segregation analyses to examine mode of transmission. A heritability of 0.36 (± 0.26) was calculated for the composite phenotype in the Havanese, encompassing the spectrum of abnormalities in the breed. Polygenic inheritance was identified for the composite phenotype, but the action of a major gene was identified by complex segregation analyses in the Havanese. Complex diseases preclude the use of a candidate gene approach, owing to the multitude of genes involved in the disease process. Whole genome screens provide a practical approach to the identification of chromosomal region(s) associated with a disease phenotype by narrowing the search for candidate gene(s). The Minimal Screening Set – 2 (MSS-2) was used in the present studies to evaluate the segregation of microsatellite markers in pedigrees for both the mixed-breed colony and the Havanese. No significant LOD scores were identified, though suggestive LOD scores were obtained in both analyses. A canine-specific oligonucleotide microarray was used to create gene expression profiles for developmental abnormalities in the Havanese and for cholesterol sensitivity in the mixed-breed colony dogs. Distinct expression profiles were generated for each group, and several genes of interest were identified as being both differentially expressed (>±2-fold change) and statistically significant (p-value<0.05).

Un naevus congénital mélanocytique (CMN) est une prolifération bénigne de mélanocytes cutanés, cliniquement apparente à la naissance. On en retrouve chez approximativement 1% des nouveau-nés. Les CMN de taille large (LCMN), définis par un diamètre le plus large de plus de 20 cm, affectent environ 1 nouveau-né sur 20.000. Puisque les LCMN ont une propension à dégénérer en tumeur mélanomateuse (dans 2 à 5% des cas) et que leur grande taille apporte un contingent cellulaire abondant, ils représentent un bon modèle d’étude des étapes initiales de la mélanotumorigénèse. Nous disposions précisément de cultures primaires de mélanocytes établies à partir de vingt-sept cas de naevi congénitaux (24 de taille large et 3 de taille moyenne (MCMN)) curetés pour la plupart chez des enfants en période néonatale. La première phase de ce projet a permis d’identifier un mécanisme alternatif d’activation de l’oncogène BRAF dans deux cas de LCMN. Nous avons en effet mis en évidence dans ces deux cas de LCMN une translocation chromosomique entrainant une activation constitutive de BRAF par le biais d’une perte de son domaine auto-inhibiteur. Si des mutations activatrices de BRAF sont fréquemment rencontrées dans les tumeurs mélanocytiques, elles restent rares dans les naevi congénitaux et les mélanomes survenant dans des zones non exposées au soleil. Les translocations chromosomiques décrites ici pourraient représenter un mécanisme moléculaire récurrent d’activation de l’oncogène BRAF dans ces groupes de tumeurs mélanocytiques. La seconde phase du projet consistait à réaliser sur notre série de 27 L/MCMN des analyses caryotypiques, des analyses « mutationnelles » (pour rechercher la présence de mutations activatrices des oncogènes BRAF et NRAS) et des études d’expression différentielle. A l’inverse de ce que l’on observe dans le mélanome malin, les anomalies chromosomiques sont rares et isolées, reflétant très probablement le caractère bénin de ces lésions. La mutation BRAFV600E a été mise en évidence pour 4/27 CMN (15%), des mutations du gène NRAS pour 19/27 (70%), soit une situation en miroir de ce que l’on observe dans les CMN de petite taille (SCMN) et dans les naevi acquis bénins, confirmant les résultats obtenus par d’autres. L’étude du profil d’expression transcriptionnelle révèle des dysrégulations communes à l’ensemble des échantillons naeviques, comme une franche augmentation d’expression du transcrit de l’Ostéopontine. Le profil d’expression des échantillons de CMN BRAFV600E semble refléter une réduction de la synthèse et de la distribution de pigment et une activation de gènes impliqués dans la réponse cellulaire aux dommages à l’ADN. Comme des altérations des mécanismes de la pigmentation peuvent générer des dommages oxydatifs au niveau de l’ADN, l’activation de la réponse cellulaire aux dommages à l’ADN pourrait refléter la capacité des cellules naeviques à se protéger contre le stress cellulaire. Enfin, on observait aussi une expression élevée de gènes médiant la chimiorésistance dans différents cancers, ce qui pourrait éventuellement jouer un rôle dans l’inefficacité caractéristique et bien connue de la chimiothérapie dans le mélanome malin.

the majority of patients with early breast cancer receive some form of systemic adjuvant therapy (chemo-, endocrine, and/or targeted therapy). Despite the increase in adjuvant therapy prescription, little progress has been made with respect to assisting oncologists to determine which breast cancer patients, particularly those deemed at “lower risk” of relapse, require chemotherapy or other systemic therapy and which women can safely be treated with loco-regional treatment alone. For these reasons, the identification of prognostic and predictive markers that will assist the clinician in selecting the most suitable form of medical therapy has become very high priority as well as a real challenge in translational research. Unfortunately, several problems have hampered the identification and/or clinical usefulness of prognostic and predictive markers. In Chapter 1, we sought to address some of the specific questions regarding prognosis: - Are gene expression signatures robust and reproducible? - Do the different gene signatures have similar prognostic performance? Are they concordant in their prediction for the individual patient? - What is the role of individual genes in a signature and what is their biological interpretation? - What is the relationship between the molecular classification defined by cluster analysis and the different prognostic signatures? Through the following specific aims: 1. Independent validation study of a prognostic gene signature derived from microarray technology, to demonstrate its reproducibility, robustness and clinical utility compared with classical breast cancer prognostic factors in an appropriate validation cohort (Chapter 1A); 2. Independent comparison of three prognostic gene signatures (Chapter 1B); 3. Characterization of the biological foundation of the different prognostic signatures and refinement of our knowledge regarding breast cancer prognosis according to the molecular subgroups defined by ER and HER2 through a meta-analysis of publicly available gene expression data (Chapter 1C). In Chapter 2, we sought to address some specific questions regarding the prediction of response for the most commonly given breast cancer treatments: - What is the importance of proliferation genes in predicting clinical outcome in patients treated with endocrine therapy? - What is the value of TOP2A in predicting the efficacy of anthracycline therapy? - Can we identify a list of genes associated with response to anthracyline therapy? - What is the best method and cutoff to determine HER2-positive patients eligible for trastuzumab therapy? Would an alternative quantitative method for HER2 expression and homodimerization discriminate patients with significantly different probabilities of clinical outcome following treatment with trastuzumab? Through the following specific aims: 1. Investigation of molecular markers of response to endocrine therapy in hormono-sensitive patients (Chapter 2A); 2. Prospective evaluation of the predictive value of TOP2A and identification of genes associated with response in a cohort of patients treated with anthracyclines (Chapter 2B); 3. Investigation of the best method to select patients who should be treated by trastuzumab-based therapy and evaluation of a new technique to quantitatively assess HER2 expression (Chapter 2C).

Biological processes depend upon the structural and functional quality of the molecules that comprise living organisms. The integrity of molecules such as DNA, RNA, proteins, carbohydrates and lipids is crucial and the precise three-dimensional shape and the detailed chemistry of these molecules orchestrate the biochemical processes vital for life. Within a cell, each protein must be present at a specific concentration during certain specific conditions. To maintain cellular homeostasis and the ability to respond to the environment the proteome is in a dynamic state of synthesis and degradation. In eukaryotic cells the ubiquitin-proteasome pathway is the principal mechanism for regulated protein turnover in both the cytoplasm and the nucleus. The 20S proteasome is a cylindrical multi-subunit protease. Proteasomes play an essential role in the targeted and timely ordered degradation of key regulatory proteins and their inhibitors. The 26S proteasome is a 2.500 kDa complex composed of the 20S proteasome sandwiched between two 19S regulators. This is the enzymatic complex responsible for ATP-dependent ubiquitin mediated protein degradation. A polyubiquitin chain attached to a protein serves as a general recognition signal for destruction via the 26S proteasome. It is known that the 19S regulator confers ubiquitin recognition and substrate unfolding to the 20S proteasome, however, the specific functions for many of the different subunits within the 19S complex are not known. We have used RNA interference to study the S13/Rpn11 and S5a/Rpn10 subunits of Drosophila melanogatser proteasomes. We have produced stable cell lines with the human S13 gene under inducible promoters that was used to rescue the knockdown phenotype after RNA interference. The rescue was successful in demonstrating that the human protein is a functional homologue to the Drosophila protein. We call the technique RNAi+c (RNA interference + complementation). This procedure enabled us to also test different mutants of the human S13 protein for their ability to function in the proteasome. Using RNA interference to a Drosophila proteasome subunit in combination with complementation with a corresponding human protein we have been able to study residues important for the deubiquitinating activity of this subunit (Paper I). Interestingly, upon a decrease of either S13 or S5a we see an induction in the levels of active 20S proteasomes. Increase in the levels of the non-targeted 19S subunit can be detected when RNAi treatment is carried out on either S13 or S5a. We have used RNA interference and proteasomal inhibition together with whole genome microarray analysis to reveal a co-regulated network of proteasome genes. This network likely contributes to an overall regulatory system that maintains proper proteasome levels in the cell. Initial studies of the mechanism of transcriptional co-regulation of proteins involved in the 26S proteasome pathway were also performed (Paper II). Finally, the biological function of the proteasome regulator PA28g/REGg is not known. We have studied this regulator in Drosophila using RNA interference and promoter mapping (Paper III).

In this thesis project housekeeping genes in differentiating human embryonic stem cells were investigated. Housekeeping genes are involved in basic functions in the cells and are assumed to be expressed at relatively constant levels across different cell types and experimental conditions. Based on these features, housekeeping genes are frequently used as controls in calibration of gene expression data. Commonly used housekeeping genes in somatic tissues have shown to vary notably in human embryonic stem cells and are therefore inappropriate as reference genes in this unique cell type. In the present work a novel set of gene expression data obtained by profiling of undifferentiated and early differentiating cardiac cells, was analyzed. Stably expressed genes were identified in this data set and were subsequently intersected with a previously proposed set of 292 stable genes in human embryonic stem cells. A resulting set of 73 genes show stability across all investigated cell lines and experimental conditions. These genes are suggested as a more reliable set of reference genes in differentiating human embryonic stem cells than frequently used housekeeping genes in somatic tissue. In addition, a novel set of 20 genes was identified as very stably expressed during the differentiation towards the cardiac lineage. After further validation of stability with RT-PCR, these genes could be useful as controls in studies of human embryonic stem cells that differentiate towards the cardiac lineage.

The cell wall is a multifunctional structure which is implicated in plant growth and development as well as responding to any environmental changes including biotic and abiotic stresses. One of the practical approaches in cell wall integrity studies is the modification of the quality and quantity of particular cell wall components or destroying the specific step in cell wall synthesis pathway using Cellulose Biosynthesis Inhibitors (CBIs). In this case, chemical screen for swollen organ phenotype has proved to be an important technique to identify the genes that are directly or indirectly involved in cellulose biosynthesis. In the present research, a number of synthetic CBIs were obtained through a chemical library screen from Chembridge Company for the root swollen phenotype which is believed to be the response to a defect in cellulose biosynthesis. Therefore, a genome-wide expression profiling based on Affymetrix ATH1 GeneChip arrays (contains 22810 probe sets) were applied to investigate the altered transcriptome of four different CBIs including CBI-15, 18, 22, and 27 and isoxaben in 5 day-old Arabidopsis thaliana seedlings. The results of this project revealed overlapped up and down-regulated genes as well as discriminate responses to each CBI. The most striking modification were found in genes involve in response to the stress as well as cell wall integrity and restructuring. Thus, the identification of regulated genes under CBIs treatment suggests a robust candidate group of genes that likely to be correlated to cell wall biosynthesis. / UOIT

The Kelvin measurement is a sensitive and label-free method based on work function measurements. Work function, the minimum energy required to extract an electron from a metallic material, can be shifted by ionic charges and dipoles present on the surface. The scanning Kelvin nanoprobe (SKN), a probe-based microscopic imaging device, was used in the detection of work function changes induced by surface-immobilized oligonucleotide / DNA microarrays. The scanning Kelvin nanoprobe was able to study DNA microarrays smaller than 100 µm in size, produced with solution concentrations lower than 10 µmol/L. The limit of detection was estimated to be 15 ng DNA. Better than ± 10% relative variation was achieved for replicate spots. It was observed that higher surface densities of immobilized DNA molecules produced greater work function changes than lower surface densities. Surface saturation with increasing solution concentrations was observed as well. Also, longer strands of DNA produced greater work function changes than shorter strands. Statistical analysis of the results confirmed that non-complementary DNA strands could be differentiated from complementary strands by the Kelvin measurement. Single base mismatches on the complementary DNA strands were also detected by the Kelvin measurement. Different substrate materials were tested in the search for reliable and inexpensive sample slides with satisfactory DNA immobilization efficiency. Materials such as silicon wafers, gold-coated glass slides, gold-coated stainless steel slides, and gold compact discs (CD) were tested. A surface property comparison of gold-coated glass slides and compact discs was made by atomic force microscopy (AFM), and revealed very different microscopic features. The effect of cleaning on gold-coated glass slides was examined by time-of-flight secondary ion mass spectrometry (TOF-SIMS). Technical improvements were made to the SKN equipment progressively. Several revisions to the tip holder design have been employed for better electromagnetic shielding, enhanced robustness and easier tip change. An older signal generator was replaced with a professional PC audio card to provide more stable signal and more convenient on-screen fine tuning, also at a reduced cost. The Labview-based controlling program has also been improved through multiple iterations.

The global gene expression profiles of industrial strains of <i>Saccharomyces cerevisiae</i> responding to nitrogen deficiency and very high sugar concentrations stresses were determined by oligonucleotide microarray analysis of ~ 6200 yeast open reading frames. Genomics analysis showed that 400 genes in S. cerevisiae was differentially expressed by more than 1.5-fold compared with controls at late-logarithmic phase of fermentation, as the yeast adapted to changing nutritional, environmental and physiological conditions. The genes of many pathways are regulated in a highly coordinated manner. The repressed expression of GDH1 and up-regulation of ARO10 within the contrast of Q270/Q10 indicated high energy demanding of yeast cells under high sugar stress. Activities of G3P shuttle indicated that under very high gravity environment, sufficient assimilatory nitrogen enhances yeasts ability of redox balancing, and therefore higher stress-tolerance and higher fermentation efficiency of yeast. Under contrast W270/Q270, the up-regulation of DUR1,2 responsible for urea degradation induces the glutamate biosynthesis and the consumption of -ketoglutarate. This may indicate that higher nitrogen level would enable higher activities in the TCA cycle, and therefore generate more energy for biosynthesis and yeast cell proliferation under very high gravity fermentation conditions. Nitrogen metabolism was also stimulated by high nitrogen level when yeast was grown in very high gravity environment.

Analysis of gene expression microarray data has traditionally been conducted using hierarchical clustering. However, such analysis has many known disadvantages and pattern discovery (PD) has been proposed as an alternative technique. In this work, three similar but different PD algorithms Teiresias, Splash and Genes@Work were benchmarked for time and memory efficiency on a small yeast cell-cycle data set. Teiresias was found to be the fastest, and best over-all program. However, Splash was more memory efficient. This work also investigated the performance of four methods of discretizing microarray data: sign-of-the-derivative, K-means, pre-set value, and Genes@Work stratification. The first three methods were evaluated on their predisposition to group together biologically related genes. On a yeast cell-cycle data set, sign-of-the-derivative method yielded the most biologically significant patterns, followed by the pre-set value and K-means methods. K-means, preset-value, and Genes@Work were also compared on their ability to classify tissue samples from diffuse large b-cell lymphoma (DLBCL) into two subtypes determined by standard techniques. The Genes@Work stratification method produced the best patterns for discriminating between the two subtypes of lymphoma. However, the results from the second-best method, K-means, call into question the accuracy of the classification by the standard technique. Finally, a number of recommendations for improvement of pattern discovery algorithms and discretization techniques are made.

The Kelvin measurement is a sensitive and label-free method based on work function measurements. Work function, the minimum energy required to extract an electron from a metallic material, can be shifted by ionic charges and dipoles present on the surface. The scanning Kelvin nanoprobe (SKN), a probe-based microscopic imaging device, was used in the detection of work function changes induced by surface-immobilized oligonucleotide / DNA microarrays. The scanning Kelvin nanoprobe was able to study DNA microarrays smaller than 100 µm in size, produced with solution concentrations lower than 10 µmol/L. The limit of detection was estimated to be 15 ng DNA. Better than ± 10% relative variation was achieved for replicate spots. It was observed that higher surface densities of immobilized DNA molecules produced greater work function changes than lower surface densities. Surface saturation with increasing solution concentrations was observed as well. Also, longer strands of DNA produced greater work function changes than shorter strands. Statistical analysis of the results confirmed that non-complementary DNA strands could be differentiated from complementary strands by the Kelvin measurement. Single base mismatches on the complementary DNA strands were also detected by the Kelvin measurement. Different substrate materials were tested in the search for reliable and inexpensive sample slides with satisfactory DNA immobilization efficiency. Materials such as silicon wafers, gold-coated glass slides, gold-coated stainless steel slides, and gold compact discs (CD) were tested. A surface property comparison of gold-coated glass slides and compact discs was made by atomic force microscopy (AFM), and revealed very different microscopic features. The effect of cleaning on gold-coated glass slides was examined by time-of-flight secondary ion mass spectrometry (TOF-SIMS). Technical improvements were made to the SKN equipment progressively. Several revisions to the tip holder design have been employed for better electromagnetic shielding, enhanced robustness and easier tip change. An older signal generator was replaced with a professional PC audio card to provide more stable signal and more convenient on-screen fine tuning, also at a reduced cost. The Labview-based controlling program has also been improved through multiple iterations.