@phdthesis{Riemens2023,
  author    = {Riemens, Renzo J. M.},
  title     = {Neuroepigenomics in Alzheimer's disease: The single cell ADds},
  isbn      = {978-94-6423-524-1},
  doi       = {10.25972/OPUS-25457},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254574},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Die Forschung, die in dieser Arbeit zusammengestellt wird, kann in zwei Teile geteilt werden. Der erste Teil, bestehend aus vier Kapiteln, konzentriert sich auf die Rolle der epigenetischen Dysregulation in der {\"A}tiopathophysiologie der sporadischen Alzheimer-Krankheit (sAD). Neben Einblicken in die neuesten Entwicklungen in neuroepigenomischen Studien zu dieser Krankheit geht der erste Teil der Arbeit auch auf verbleibende Herausforderungen ein und gibt einen Ausblick auf m{\"o}gliche Entwicklungen auf diesem Gebiet. Der zweite Teil, der drei weitere Kapitel umfasst, konzentriert sich auf die Anwendung von auf induzierten pluripotenten Stammzellen (iPSC) basierenden Krankheitsmodellen f{\"u}r das Studium der AD, einschließlich, aber nicht beschr{\"a}nkt auf mechanistische Studien zur epigenetischen Dysregulation unter Verwendung dieser Plattform. Neben der Skizzierung der bisherigen Forschung mit iPSC-basierten Modellen f{\"u}r sAD gibt der zweite Teil der Arbeit auch Einblicke in die Gewinnung krankheitsrelevanter Nervenkulturen auf Basis der gezielten Differenzierung von iPSCs und beinhaltet dar{\"u}ber hinaus einen experimentellen Ansatz f{\"u}r den Aufbau eines solchen Modellsystems.},
  subject      = {Epigenetik},
  language  = {en}
}
@article{LutherBrandtVylkovaetal.2023,
  author    = {Luther, Christian H. and Brandt, Philipp and Vylkova, Slavena and Dandekar, Thomas and M{\"u}ller, Tobias and Dittrich, Marcus},
  title     = {Integrated analysis of SR-like protein kinases Sky1 and Sky2 links signaling networks with transcriptional regulation in Candida albicans},
  series = {Frontiers in Cellular and Infection Microbiology},
  volume    = {13},
  journal   = {Frontiers in Cellular and Infection Microbiology},
  issn      = {2235-2988},
  doi       = {10.3389/fcimb.2023.1108235},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311771},
  year      = {2023},
  abstract  = {Fungal infections are a major global health burden where Candida albicans is among the most common fungal pathogen in humans and is a common cause of invasive candidiasis. Fungal phenotypes, such as those related to morphology, proliferation and virulence are mainly driven by gene expression, which is primarily regulated by kinase signaling cascades. Serine-arginine (SR) protein kinases are highly conserved among eukaryotes and are involved in major transcriptional processes in human and S. cerevisiae. Candida albicans harbors two SR protein kinases, while Sky2 is important for metabolic adaptation, Sky1 has similar functions as in S. cerevisiae. To investigate the role of these SR kinases for the regulation of transcriptional responses in C. albicans, we performed RNA sequencing of sky1Δ and sky2Δ and integrated a comprehensive phosphoproteome dataset of these mutants. Using a Systems Biology approach, we study transcriptional regulation in the context of kinase signaling networks. Transcriptomic enrichment analysis indicates that pathways involved in the regulation of gene expression are downregulated and mitochondrial processes are upregulated in sky1Δ. In sky2Δ, primarily metabolic processes are affected, especially for arginine, and we observed that arginine-induced hyphae formation is impaired in sky2Δ. In addition, our analysis identifies several transcription factors as potential drivers of the transcriptional response. Among these, a core set is shared between both kinase knockouts, but it appears to regulate different subsets of target genes. To elucidate these diverse regulatory patterns, we created network modules by integrating the data of site-specific protein phosphorylation and gene expression with kinase-substrate predictions and protein-protein interactions. These integrated signaling modules reveal shared parts but also highlight specific patterns characteristic for each kinase. Interestingly, the modules contain many proteins involved in fungal morphogenesis and stress response. Accordingly, experimental phenotyping shows a higher resistance to Hygromycin B for sky1Δ. Thus, our study demonstrates that a combination of computational approaches with integration of experimental data can offer a new systems biological perspective on the complex network of signaling and transcription. With that, the investigation of the interface between signaling and transcriptional regulation in C. albicans provides a deeper insight into how cellular mechanisms can shape the phenotype.},
  language  = {en}
}