@article{WestermannBarquistVogel2017, author = {Westermann, Alexander J. and Barquist, Lars and Vogel, J{\"o}rg}, title = {Resolving host-pathogen interactions by dual RNA-seq}, series = {PLoS Pathogens}, volume = {13}, journal = {PLoS Pathogens}, number = {2}, doi = {10.1371/journal.ppat.1006033}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171921}, year = {2017}, abstract = {The transcriptome is a powerful proxy for the physiological state of a cell, healthy or diseased. As a result, transcriptome analysis has become a key tool in understanding the molecular changes that accompany bacterial infections of eukaryotic cells. Until recently, such transcriptomic studies have been technically limited to analyzing mRNA expression changes in either the bacterial pathogen or the infected eukaryotic host cell. However, the increasing sensitivity of high-throughput RNA sequencing now enables "dual RNA-seq" studies, simultaneously capturing all classes of coding and noncoding transcripts in both the pathogen and the host. In the five years since the concept of dual RNA-seq was introduced, the technique has been applied to a range of infection models. This has not only led to a better understanding of the physiological changes in pathogen and host during the course of an infection but has also revealed hidden molecular phenotypes of virulence-associated small noncoding RNAs that were not visible in standard infection assays. Here, we use the knowledge gained from these recent studies to suggest experimental and computational guidelines for the design of future dual RNA-seq studies. We conclude this review by discussing prospective applications of the technique.}, language = {en} } @article{SchulteSchweinlinWestermannetal.2020, author = {Schulte, Leon N. and Schweinlin, Matthias and Westermann, Alexander J. and Janga, Harshavardhan and Santos, Sara C. and Appenzeller, Silke and Walles, Heike and Vogel, J{\"o}rg and Metzger, Marco}, title = {An Advanced Human Intestinal Coculture Model Reveals Compartmentalized Host and Pathogen Strategies during Salmonella Infection}, series = {mBio}, volume = {11, 2020}, journal = {mBio}, number = {1}, doi = {10.1128/mBio.03348-19}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229428}, year = {2020}, abstract = {A major obstacle in infection biology is the limited ability to recapitulate human disease trajectories in traditional cell culture and animal models, which impedes the translation of basic research into clinics. Here, we introduce a three-dimensional (3D) intestinal tissue model to study human enteric infections at a level of detail that is not achieved by conventional two-dimensional monocultures. Our model comprises epithelial and endothelial layers, a primary intestinal collagen scaffold, and immune cells. Upon Salmonella infection, the model mimics human gastroenteritis, in that it restricts the pathogen to the epithelial compartment, an advantage over existing mouse models. Application of dual transcriptome sequencing to the Salmonella-infected model revealed the communication of epithelial, endothelial, monocytic, and natural killer cells among each other and with the pathogen. Our results suggest that Salmonella uses its type III secretion systems to manipulate STAT3-dependent inflammatory responses locally in the epithelium without accompanying alterations in the endothelial compartment. Our approach promises to reveal further human-specific infection strategies employed by Salmonella and other pathogens. IMPORTANCE Infection research routinely employs in vitro cell cultures or in vivo mouse models as surrogates of human hosts. Differences between murine and human immunity and the low level of complexity of traditional cell cultures, however, highlight the demand for alternative models that combine the in vivo-like properties of the human system with straightforward experimental perturbation. Here, we introduce a 3D tissue model comprising multiple cell types of the human intestinal barrier, a primary site of pathogen attack. During infection with the foodborne pathogen Salmonella enterica serovar Typhimurium, our model recapitulates human disease aspects, including pathogen restriction to the epithelial compartment, thereby deviating from the systemic infection in mice. Combination of our model with state-of-the-art genetics revealed Salmonella-mediated local manipulations of human immune responses, likely contributing to the establishment of the pathogen's infection niche. We propose the adoption of similar 3D tissue models to infection biology, to advance our understanding of molecular infection strategies employed by bacterial pathogens in their human host.}, language = {en} } @article{HerwegHansmeierOttoetal.2015, author = {Herweg, Jo-Ana and Hansmeier, Nicole and Otto, Andreas and Geffken, Anna C. and Subbarayal, Prema and Prusty, Bhupesh K. and Becher, D{\"o}rte and Hensel, Michael and Schaible, Ulrich E. and Rudel, Thomas and Hilbi, Hubert}, title = {Purification and proteomics of pathogen-modified vacuoles and membranes}, series = {Frontiers in Cellular and Infection Microbiology}, volume = {5}, journal = {Frontiers in Cellular and Infection Microbiology}, number = {48}, doi = {10.3389/fcimb.2015.00048}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151823}, year = {2015}, abstract = {Certain pathogenic bacteria adopt an intracellular lifestyle and proliferate in eukaryotic host cells. The intracellular niche protects the bacteria from cellular and humoral components of the mammalian immune system, and at the same time, allows the bacteria to gain access to otherwise restricted nutrient sources. Yet, intracellular protection and access to nutrients comes with a price, i.e., the bacteria need to overcome cell-autonomous defense mechanisms, such as the bactericidal endocytic pathway. While a few bacteria rupture the early phagosome and escape into the host cytoplasm, most intracellular pathogens form a distinct, degradation-resistant and replication-permissive membranous compartment. Intracellular bacteria that form unique pathogen vacuoles include Legionella, Mycobacterium, Chlamydia, Simkania, and Salmonella species. In order to understand the formation of these pathogen niches on a global scale and in a comprehensive and quantitative manner, an inventory of compartment-associated host factors is required. To this end, the intact pathogen compartments need to be isolated, purified and biochemically characterized. Here, we review recent progress on the isolation and purification of pathogen-modified vacuoles and membranes, as well as their proteomic characterization by mass spectrometry and different validation approaches. These studies provide the basis for further investigations on the specific mechanisms of pathogen-driven compartment formation.}, language = {en} } @article{EulalioFroehlichManoetal.2011, author = {Eulalio, Ana and Fr{\"o}hlich, Kathrin S. and Mano, Miguel and Giacca, Mauro and Vogel, J{\"o}rg}, title = {A Candidate Approach Implicates the Secreted Salmonella Effector Protein SpvB in P-Body Disassembly}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68928}, year = {2011}, abstract = {P-bodies are dynamic aggregates of RNA and proteins involved in several post-transcriptional regulation processes. Pbodies have been shown to play important roles in regulating viral infection, whereas their interplay with bacterial pathogens, specifically intracellular bacteria that extensively manipulate host cell pathways, remains unknown. Here, we report that Salmonella infection induces P-body disassembly in a cell type-specific manner, and independently of previously characterized pathways such as inhibition of host cell RNA synthesis or microRNA-mediated gene silencing. We show that the Salmonella-induced P-body disassembly depends on the activation of the SPI-2 encoded type 3 secretion system, and that the secreted effector protein SpvB plays a major role in this process. P-body disruption is also induced by the related pathogen, Shigella flexneri, arguing that this might be a new mechanism by which intracellular bacterial pathogens subvert host cell function.}, subject = {Salmonella}, language = {en} }