Novel Roles of HCG/LH Signalling in the Mouse Mammary Gland and its Tumorigenesis.

Breast cancer is the most common cancer in women, and its development is intimately related to hormonal factors, but how hormones affect breast physiology and tumorigenesis is not sufficiently known. Pregnancy elicits long-term protection from breast cancer, but during the first ten years after pregnancy, breast cancer risk is increased. In previous studies, there has been conflicting data on the role of human chorionic gonadotropin (HCG) and the functionality of its receptor in extragonadal tissues. The aim of this study was to elucidate the role of chronically elevated HCG in mouse physiology. We have created a transgenic (TG) mouse model that overexpresses HCG. HCG is similar to lutenizing hormone (LH), but is secreted almost solely by the placenta during pregnancy. HCG and LH both bind to the LH receptor (LHR). In the current study, mammary gland tumors were observed in HCG TG mice. We elucidated the role of HCG in mammary gland signalling and the effects of LHR mediated signalling in mouse mammary gland gene expression. We also studied the effects of HCG in human breast epithelial cell cultures. Several endocrine disturbances were observed in HCGβ TG female mice, resulting in precocious puberty, infertility, obesity and pituitary and mammary gland tumors. The histology of the mammary gland tumors of HCGβ TG females resembled those observed in mouse models with activated Wnt/β-catenin signalling pathway. Wnts are involved in stem cell regulation and tumorigenesis, and are hormonally regulated in the mammary gland. We observed activated β-catenin signalling and elevated expression of Wnt5b and Wnt7b in TG tumors and mammary glands. Furthermore, we discovered that HCG directly regulates the expression of Wnt5b and Wnt7b in the mouse mammary gland. Pharmacological treatment with HCG also caused upregulation of several Wnt-pathway target genes in ovariectomized wild type (WT) mice in the presence of physiological concentrations of estradiol and progesterone. In addition, differential expression of several metabolic genes was observed, suggesting that HCG affects adipocyte function or glucose metabolism. When WT mice were transplanted with LHR deficient or wild type WT mammary epithelium, differential expression of several genes affecting the Wnt-signalling pathway was observed in microarray analysis. Diminished expression of several genes associated with LHR function in other tissues, such as the ovary, was observed in mammary glands deficient of epithelial LHR. In cultured human mammary epithelial cells HCG upregulated the expression of WNT5B, WNT7B similar to mouse, suggesting that the observations found are relevant in human physiology. These studies suggest that HCG/LHR signalling affects gene expression in non-gonadal tissues, and that Wnt-signalling is regulated by HCG/LH in human and mouse mammary glands.

The Role of Integrins in Enterovirus Infections and in Metastasis of Cancer

Integrins are a family of transmembrane glycoproteins, composed of two different subunits (alpha and beta). Altered expression of integrins in tumor cells contributes to metastasis tendency by influencing on the cells‟ attachment to adjacent cells and their migration. Viral pathogens, including certain enteroviruses, use integrins as receptors. Enteroviruses have also been suggested to be involved in the etiopathogenesis of type 1 diabetes. The study focuses on the role of integrins in the pathogenesis of metastasis to cortical bone and on type 1 diabetes (T1D) and echovirus 1 infection. In the first part of the thesis, the role of different integrins in the initial attachment of MDA-MD-231 breast cancer cells to bovine cortical bone disks was studied. A close correlation between alpha2beta1 and alpha3beta1 integrin receptor expression and the capability of the tumor to attach to bone were observed. In the second part, a possible correlation between susceptibility to enterovirus infections in diabetic children and differences in enterovirus receptor genes, including certain integrins, was investigated. In parallel, virus-specific neutralizing antibodies and diabetic risk alleles were studied. In the diabetic group, an amino acid change was detected in the polio virus receptor and the neutralizing antibody titers against echovirus 30 were lower. However, to obtain statistically sustainable results, a larger number of individuals should be analyzed. Echovirus 1 (EV1) enters cells by attaching to the alpha2I domain of the alpha2beta1 integrin. In the third part EV1 was shown to attach to a chimeric receptor construct of the transferrin receptor and the alpha2I domain and to enter cells through clathrin-mediated endocytosis that is normally not used by the virus. The chimeric receptor was recycled to the plasma membrane, whereas the virus remained in intracellular vesicles. The virus replication cycle was initiated in these cells, suggesting that evolution pressure could possibly cause the virus to evolve to use a different entry mechanism. Moreover, a cDNA microarray analysis of host gene expression during EV1 replication showed that 0.53% of the total genes, including several immediate early genes, were differently expressed.

Functional Genomic Approaches for Deciphering Plant-Virus Interactions

Plant-virus interactions are very complex in nature and lead to disease and symptom formation by causing various physiological, metabolic and developmental changes in the host plants. These interactions are mainly the outcomes of viral hijacking of host components to complete their infection cycles and of host defensive responses to restrict the viral infections. Viral genomes contain only a small number of genes often encoding for multifunctional proteins, and all are essential in establishing a viral infection. Thus, it is important to understand the specific roles of individual viral genes and their contribution to the viral life cycles. Among the most important viral proteins are the suppressors of RNA silencing (VSRs). These proteins function to suppress host defenses mediated by RNA silencing and can also serve in other functions, e.g. in viral movement, transactivation of host genes, virus replication and protein processing. Thus these proteins are likely to have a significant impact on host physiology and metabolism. In the present study, I have examined the plant-virus interactions and the effects of three different VSRs on host physiology and gene expression levels by microarray analysis of transgenic plants that express these VSR genes. I also studied the gene expression changes related to the expression of the whole genome of Tobacco mosaic virus (TMV) in transgenic tobacco plants. Expression of the VSR genes in the transgenic tobacco plants causes significant changes in the gene expression profiles. HC-Pro gene derived from the Potyvirus Y (PVY) causes alteration of 748 and 332 transcripts, AC2 gene derived from the African cassava mosaic virus (ACMV) causes alteration of 1118 and 251transcripts, and P25 gene derived from the Potyvirus X (PVX) causes alterations of 1355 and 64 transcripts in leaves and flowers, respectively. All three VSRs cause similar up-regulation in defense, hormonally regulated and different stress-related genes and down-regulation in the photosynthesis and starch metabolism related genes. They also induce alterations that are specific to each viral VSR. The phenotype and transcriptome alterations of the HC-Pro expressing transgenic plants are similar to those observed in some Potyvirus-infected plants. The plants show increased protein degradation, which may be due to the HC-Pro cysteine endopeptidase and thioredoxin activities. The AC2-expressing transgenic plants show a similar phenotype and gene expression pattern as HC-Pro-expressing plants, but also alter pathways related to jasmonic acid, ethylene and retrograde signaling. In the P25 expressing transgenic plants, high numbers of genes (total of 1355) were up-regulated in the leaves, compared to a very low number of down-regulated genes (total of 5). Despite of strong induction of the transcripts, only mild growth reduction and no other distinct phenotype was observed in these plants. As an example of whole virus interactions with its host, I also studied gene expression changes caused by Tobacco mosaic virus (TMV) in tobacco host in three different conditions, i.e. in transgenic plants that are first resistant to the virus, and then become susceptible to it and in wild type plants naturally infected with this virus. The microarray analysis revealed up and down-regulation of 1362 and 1422 transcripts in the TMV resistant young transgenic plants, and up and down-regulation of a total of 1150 and 1200 transcripts, respectively, in the older plants, after the resistance break. Natural TMV infections in wild type plants caused up-regulation of 550 transcripts and down-regulation of 480 transcripts. 124 up-regulated and 29 down-regulated transcripts were commonly altered between young and old TMV transgenic plants, and only 6 up-regulated and none of the down-regulated transcripts were commonly altered in all three plants. During the resistant stage, the strong down-regulation in translation-related transcripts (total of 750 genes) was observed. Additionally, transcripts related to the hormones, protein degradation and defense pathways, cell division and stress were distinctly altered. All these alterations may contribute to the TMV resistance in the young transgenic plants, and the resistance may also be related to RNA silencing, despite of the low viral abundance and lack of viral siRNAs or TMV methylation activity in the plants.

The role of cathepsin K in lung development and newborn chronic lung injury.

Chronic lung diseases, specifically bronchopulmonary dysplasia (BPD), are still causing mortality and morbidity amongst newborn infants. High protease activity has been suggested to have a deleterious role in oxygen-induced lung injuries. Cathepsin K (CatK) is a potent protease found in fetal lungs, degrading collagen and elastin. We hypothesized that CatK may be an important modulator of chronic lung injury in newborn infants and neonatal mice. First we measured CatK protein levels in repeated tracheal aspirate fluid samples from 13 intubated preterm infants during the first two weeks of life. The amount of CatK at 9-13 days was low in infants developing chronic lung disease. Consequently, we studied CatK mRNA expression in oxygen-exposed wild-type (WT) rats at postnatal day (PN) 14 and found decreased pulmonary mRNA expression of CatK in whole lung samples. Thereafter we demonstrated that CatK deficiency modifies lung development by accelerating the thinning of alveolar walls in newborn mice. In hyperoxia-exposed newborn mice CatK deficiency resulted in increased number of pulmonary foam cells, macrophages and amount of reduced glutathione in lung homogenates indicating intensified pulmonary oxidative stress and worse pulmonary outcome due to CatK deficiency. Conversely, transgenic overexpression of CatK caused slight enlargement of distal airspaces with increased alveolar chord length in room air in neonatal mice. While hyperoxic exposure inhibited alveolarization and resulted in enlarged airspaces in wild-type mice, these changes were significantly milder in CatK overexpressing mice at PN7. Finally, we showed that the expression of macrophage scavenger receptor 2 (MSR2) mRNA was down-regulated in oxygen-exposed CatK-deficient mice analyzed by microarray analysis. Our results demonstrate that CatK seems to participate in normal lung development and its expression is altered during pulmonary injury. In the presence of pulmonary risk factors, like high oxygen exposure, low amount of CatK may contribute to aggravated lung injury while sustained or slightly elevated amount of CatK may even protect the newborn lungs from excessive injury. Besides collagen degrading and antifibrotic function of CatK in the lungs, it is obvious that CatK may affect macrophage activity and modify oxidative stress response. In conclusion, pulmonary proteases, specifically CatK, have distinct roles in lung homeostasis and injury development, and although suggested, broad range inhibition of proteases may not be beneficial in newborn lung injury.

Early Life Intestinal Microbiota in Health and in Atopic Eczema

Decrease in microbial contacts in affluent societies is considered to lie behind the rise in allergic and other chronic inflammatory diseases during the last decades. Indeed, deviations in the intestinal microbiota composition and diversity have been associated with several diseases, such as atopic eczema. However, there is no consensus yet on what would constitute a beneficial or harmful microbiota. The aim of this thesis was to study the microbiota development in healthy infants and to characterize intestinal microbiota signatures associated with disease status and severity in infants with atopic eczema. The methodological aim was to compare and optimize methods for DNA extraction from fecal samples to be used in high-throughput microbiota analyses. It was confirmed that the most critical step in successful microbial DNA extraction from fecal samples is the mechanical cell lysis procedure. Based on this finding, an efficient semi-automated extraction process was developed that can be scaled for use in high-throughput platforms such as phylogenetic microarray used in this series of studies. By analyzing a longitudinal motherchild cohort for 3 years it was observed that the microbiota development is a gradual process, where some bacterial groups reach the degree of adult-type pattern earlier than others. During the breast-feeding period, the microbiota appeared to be relatively simple, while major diversification was found to start during the weaning process. By the age of 3 years, the child’s microbiota composition started to resemble that of an adult, but the bacterial diversity has still not reached the full diversity, indicating that the microbiota maturation extends beyond this age. In addition, at three years of age, the child’s microbiota was more similar to mother’s microbiota than to microbiota of nonrelated women.In infants with atopic eczema, a high total microbiota diversity and abundance of butyrate-producing bacteria was found to correlate with mild symptoms at 6 months. At 18 months, infants with mild eczema had significantly higher microbiota diversity and aberrant microbiota composition when compared to healthy controls at the same age. In conclusion, the comprehensive phylogenetic microarray analysis of early life microbiota shows the synergetic effect of vertical transmission and shared environment on the intestinal microbiota development. By the age of three years, the compositional development of intestinal microbiota is close to adult level, but the microbiota diversification continues beyond this age. In addition, specific microbiota signatures are associated with the existence and severity of atopic eczema and intestinal microbiota seems to have a role in alleviating the symptoms of this disease.

Data analysis tools and methods for DNA microarray and high-throughput sequencing data

The recent rapid development of biotechnological approaches has enabled the production of large whole genome level biological data sets. In order to handle thesedata sets, reliable and efficient automated tools and methods for data processingand result interpretation are required. Bioinformatics, as the field of studying andprocessing biological data, tries to answer this need by combining methods and approaches across computer science, statistics, mathematics and engineering to studyand process biological data. The need is also increasing for tools that can be used by the biological researchers themselves who may not have a strong statistical or computational background, which requires creating tools and pipelines with intuitive user interfaces, robust analysis workflows and strong emphasis on result reportingand visualization. Within this thesis, several data analysis tools and methods have been developed for analyzing high-throughput biological data sets. These approaches, coveringseveral aspects of high-throughput data analysis, are specifically aimed for gene expression and genotyping data although in principle they are suitable for analyzing other data types as well. Coherent handling of the data across the various data analysis steps is highly important in order to ensure robust and reliable results. Thus,robust data analysis workflows are also described, putting the developed tools andmethods into a wider context. The choice of the correct analysis method may also depend on the properties of the specific data setandthereforeguidelinesforchoosing an optimal method are given. The data analysis tools, methods and workflows developed within this thesis have been applied to several research studies, of which two representative examplesare included in the thesis. The first study focuses on spermatogenesis in murinetestis and the second one examines cell lineage specification in mouse embryonicstem cells.

A cell spot microarray method for high-throughput biology

High-throughput screening of cellular effects of RNA interference (RNAi) libraries is now being increasingly applied to explore the role of genes in specific cell biological processes and disease states. However, the technology is still limited to specialty laboratories, due to the requirements for robotic infrastructure, access to expensive reagent libraries, expertise in high-throughput screening assay development, standardization, data analysis and applications. In the future, alternative screening platforms will be required to expand functional large-scale experiments to include more RNAi constructs, allow combinatorial loss-of-function analyses (e.g. genegene or gene-drug interaction), gain-of-function screens, multi-parametric phenotypic readouts or comparative analysis of many different cell types. Such comprehensive perturbation of gene networks in cells will require a major increase in the flexibility of the screening platforms, throughput and reduction of costs. As an alternative for the conventional multi-well based high-throughput screening -platforms, here the development of a novel cell spot microarray method for production of high density siRNA reverse transfection arrays is described. The cell spot microarray platform is distinguished from the majority of other transfection cell microarray techniques by the spatially confined array layout that allow highly parallel screening of large-scale RNAi reagent libraries with assays otherwise difficult or not applicable to high-throughput screening. This study depicts the development of the cell spot microarray method along with biological application examples of high-content immunofluorescence and phenotype based cancer cell biological analyses focusing on the regulation of prostate cancer cell growth, maintenance of genomic integrity in breast cancer cells, and functional analysis of integrin protein-protein interactions in situ.