Project description:Primary objectives: Characterization of the macrophage population subset that is modulated by enteric neurons
Primary endpoints: Characterization of the macrophage population subset that is modulated by enteric neurons via RNA sequencing
Project description:Disease outbreaks due to the consumption of legume seedlings contaminated with human enteric bacterial pathogens like Escherichia coli O157:H7 and Salmonella enterica are reported every year. We found surface and internal colonization of Medicago truncatula by Salmonella enterica and Escherichia coli O157:H7 even with inoculum levels as low as two bacteria per plant. Expression analyses using microarray revealed that some Medicago truncatula genes were regulated in a similar manner in response to both of these enteric pathogens. Medicago truncatula roots were inoculated with low inoculum levels of two enteric bacteria per plant (E. coli O157:H7 and Salmonella). 10 days post inoculated plants were used for RNA extraction and hybridization on Affymetrix microarrays.
Project description:We used single nuclei RNA sequencing (snRNA-seq) for molecular characterization of our hPSC-derived enteric nervous system models termed enteric ganglioids.
Project description:We used single cell RNA sequencing (scRNA-seq) for molecular characterization of our hPSC-derived enteric crestosphere and 2D enteric nervous system models
Project description:Nucleic acids in wastewater provide a rich source of data for detection and surveillance of microbes. We have longitudinally collected 116 RNA samples from a wastewater treatment plant in Berlin/Germany, from March 2021 to July 2022, and 24 DNA samples from May to July 2022. We tracked human astroviruses, enteroviruses, noroviruses and adenoviruses over time to the level of strains or even individual nucleotide variations, showing how detailed human pathogens can be observed using wastewater. For respiratory pathogens, a broad enrichment panel enabled us to detect waves of RSV, influenza, or common cold coronaviruses in high agreement with clinical data. By applying a profile Hidden Markov Model-based search for novel viruses, we identified more than 100 thousand novel transcript assemblies likely not belonging to known virus species, thus substantially expanding our knowledge of virus diversity. Phylogenetic analysis is shown for bunyaviruses and parvoviruses. Finally, we identify Hundreds of novel protein sequences for CRISPR-associated proteins such as Transposase B, a class of small RNA-guided DNA editing enzymes. Taken together, we present a longitudinal and deep investigation into wastewater-derived genomic sequencing data that underlines the value of sewage surveillance for public health, planetary virome research, and biotechnological potential.
2023-04-13 | GSE228220 | GEO
Project description:Enteric Pathogens Genomic Surveillance in Bangladesh
