@phdthesis{Matera2022,
  author    = {Matera, Gianluca},
  title     = {Global mapping of RNA-RNA interactions in \(Salmonella\) via RIL-seq},
  doi       = {10.25972/OPUS-26877},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-268776},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {RNA represents one of the most abundant macromolecules in both eukaryotic and prokaryotic cells. Since the discovery that RNA could play important gene regulatory functions in the physiology of a cell, small regulatory RNAs (sRNAs) have been at the center of molecular biology studies. Functional sRNAs can be independently transcribed or derived from processing of mRNAs and other non-coding regions and they often associate with RNA-binding proteins (RBPs). Ever since the two major bacterial RBPs, Hfq and ProQ, were identified, the way we approach the identification and characterization of sRNAs has drastically changed. Initially, a single sRNA was annotated and its function studied with the use of low-throughput biochemical techniques. However, the development of RNA-seq techniques over the last decades allowed for a broader identification of sRNAs and their functions. The process of studying a sRNA mainly focuses on the characterization of its interacting RNA partner(s) and the consequences of this binding. By using RNA interaction by ligation and sequencing (RIL-seq), the present thesis aimed at a high-throughput mapping of the Hfq-mediated RNA-RNA network in the major human pathogen Salmonella enterica. RIL-seq was at first performed in early stationary phase growing bacteria, which enabled the identification of ~1,800 unique interactions. In- depth analysis of such complex network was performed with the aid of a newly implemented RIL-seq browser. The interactome revealed known and new interactions involving sRNAs and genes part of the envelope regulon. A deeper investigation led to the identification of a new RNA sponge of the MicF sRNA, namely OppX, involved in establishing a cross-talk between the permeability at the outer membrane and the transport capacity at the periplasm and the inner membrane. Additionally, RIL-seq was applied to Salmonella enterica grown in SPI-2 medium, a condition that mimicks the intracellular lifestyle of this pathogen, and finally extended to in vivo conditions during macrophage infection. Collectively, the results obtained in the present thesis helped unveiling the complexity of such RNA networks. This work set the basis for the discovery of new mechanisms of RNA-based regulation, for the identification of a new physiological role of RNA sponges and finally provided the first resource of RNA interactions during infection conditions in a major human pathogen.},
  subject      = {Small RNA},
  language  = {en}
}
@article{YangRajeeveRudeletal.2019,
  author    = {Yang, Manli and Rajeeve, Karthika and Rudel, Thomas and Dandekar, Thomas},
  title     = {Comprehensive Flux Modeling of Chlamydia trachomatis Proteome and qRT-PCR Data Indicate Biphasic Metabolic Differences Between Elementary Bodies and Reticulate Bodies During Infection},
  series = {Frontiers in Microbiology},
  volume    = {10},
  journal   = {Frontiers in Microbiology},
  number    = {2350},
  issn      = {1664-302X},
  doi       = {10.3389/fmicb.2019.02350},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-189434},
  year      = {2019},
  abstract  = {Metabolic adaptation to the host cell is important for obligate intracellular pathogens such as Chlamydia trachomatis (Ct). Here we infer the flux differences for Ct from proteome and qRT-PCR data by comprehensive pathway modeling. We compare the comparatively inert infectious elementary body (EB) and the active replicative reticulate body (RB) systematically using a genome-scale metabolic model with 321 metabolites and 277 reactions. This did yield 84 extreme pathways based on a published proteomics dataset at three different time points of infection. Validation of predictions was done by quantitative RT-PCR of enzyme mRNA expression at three time points. Ct's major active pathways are glycolysis, gluconeogenesis, glycerol-phospholipid (GPL) biosynthesis (support from host acetyl-CoA) and pentose phosphate pathway (PPP), while its incomplete TCA and fatty acid biosynthesis are less active. The modeled metabolic pathways are much more active in RB than in EB. Our in silico model suggests that EB and RB utilize folate to generate NAD(P)H using independent pathways. The only low metabolic flux inferred for EB involves mainly carbohydrate metabolism. RB utilizes energy -rich compounds to generate ATP in nucleic acid metabolism. Validation data for the modeling include proteomics experiments (model basis) as well as qRT-PCR confirmation of selected metabolic enzyme mRNA expression differences. The metabolic modeling is made fully available here. Its detailed insights and models on Ct metabolic adaptations during infection are a useful modeling basis for future studies.},
  language  = {en}
}