Doctoral Thesis
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Humanity is plagued by many diseases. Beside environmental influences, many --- if not all --- diseases are also subject to genetic predisposition and then display molecular alterations such as proteomic or metabolic aberrations. The elucidation of the molecular principles underlying human diseases is one of the prime goals of biomedical research. To this end, there has been an advent of large-scale omics profiling studies. While the field of molecular biology has experienced tremendous development, data analysis remains a bottleneck. In the context of this thesis, we developed a number of analysis strategies for different types of omics data resulting from different experimental settings. These include approaches for associations studies for plasma miRNAs and time-resolved plasma omics data. Furthermore, we devised analyses of different RNA-Seq transcriptome profiling studies coping with problems such as lack of replicates or multifactorial experimental design. We also designed machine learning frameworks for the identification of discriminatory biomolecular signatures analysing case-control or time-to-event data. All of the strategies mentioned above were developed and applied in the contexts of multi-disciplinary endeavours. They aided in the identification of plasma miRNAs associated with age, sex, and BMI as well as plasma miRNAs bearing potential as diagnostic biomarkers for non-alcoholic fatty liver disease (NAFLD). This thesis significantly contributed to a study demonstrating the utility of plasma miRNAs as prognostic biomarkers for major cardiovascular events such as ST-elevation myocardial infarction. Our approaches for analysing RNA-Seq data aided in the characterisation of murine models for Alzheimers disease and the transcriptional response of human gingiva fibroblasts to ionizing radiation exposure. Furthermore, the developed approaches were applied for studying a human model for thyrotoxicosis and for the successful identification of a multi-omics plasma biomarker signature of thyroid status. We are only beginning to understand the molecular principles underlying human diseases. The approaches and results presented in this thesis will contribute to improved understanding of biomolecular processes involved in common diseases such as Alzheimers disease, NAFLD, and cardiovascular diseases.
The virosphere comprises all known and unknown viruses in our ecosystems. Advanced sequencing technologies in combination with metagenomic analysis have become a key tool for exploring this global diversity of viruses. However, discovery of novel viruses and comparative analyses are often based on small sequence fragments or lack biological context, which restricts a proper classification. In this study advanced genomic methods were used that included comprehensive knowledge of viral genomes along with supporting biological metadata in order to identify and classify viruses at different levels of genetic relationships. In a first example, the genetic background of vaccine-induced rabies cases was revealed by analyzing and comparing the genetic diversity of viral populations. Furthermore, the fundament for a taxonomic reclassification of orthopoxviruses was established on basis of a wide scale genomic analysis. In addition, novel neurotropic mamastroviruses from sheep and cattle were classified as members of a single species that provided evidence of interspecies transmission. Finally, two putative novel species of alphaherpesviruses and orthopoxviruses were identified. These examples are based on field cases that provide substantial corresponding clinical metadata and information of host-pathogen interactions. The analyses, therefore, puts taxonomic classification into biological and epidemiological context, rather than addressing generic phylogenetic relationships. Furthermore, the presented work demonstrates that a universal approach for virus classification is neither feasible nor reasonable as analyses must be adjusted the nature of the addressed virus. All results with impact on the current taxonomic classification will be or are already reported to the International Committee on Taxonomy of Viruses. In conclusion, this thesis contributed to the classification concepts of viruses and expanded the knowledge of virosphere diversity.