@phdthesis{Imdahl2023,
  author    = {Imdahl, Fabian Dominik},
  title     = {Development of novel experimental approaches to decipher host-pathogen interaction at the single-cell level},
  doi       = {10.25972/OPUS-28943},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-289435},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Abstract: COVID-19 has impressively shown how quickly an emerging pathogen can have a massive impact on our entire lives and show how infectious diseases spread regardless of national borders and economic stability. We find ourselves in a post-antibiotic era and have rested too long on the laurels of past research, so today more and more people are dying from infections with multi-resistant germs. Infections are highly plastic and heterogeneous processes that are strongly dependent on the individual, whether on the host or pathogen side. Improving our understanding of the pathogenicity of microorganisms and finding potential targets for a completely new class of drugs is a declared goal of current basic research. To tackle this challenge, single-cell RNA sequencing (scRNA-seq) is our most accurate tool. In this thesis we implemented different state of the art scRNA-seq technologies to better understand infectious diseases. Furthermore, we developed a new method which is capable to resolve the transcriptome of a single bacterium. Applying a poly(A)-independent scRNA-seq protocol to three different, infection relevant growth conditions we can report the faithful detection of growth-dependent gene expression patterns in individual Salmonella Typhimurium and Pseudomonas aeruginosa bacteria. The data analysis shows that this method not only allows the differentiation of various culture conditions but can also capture transcripts across different RNA species. Furthermore, using state of the art imaging and single-cell RNA sequencing technologies, we comprehensively characterized a human intestinal tissue model which in further course of the project was used as a Salmonella enterica serovar Typhimurium infection model. While most infection studies are conducted in mice, lacking a human intestinal physiology, the in vitro human tissue model allows us to directly infer in vivo pathogenesis. Combining immunofluorescent imaging, deep single-cell RNA sequencing and HCR-FISH, applied in time course experiments, allows an unseen resolution for studying heterogeneity and the dynamics of Salmonella infection which reveals details of pathogenicity contrary to the general scientific opinion.},
  subject      = {Salmonella},
  language  = {en}
}