Project description:Cellular and inflammatory events were evaluated in mouse muscle after snake venoms Daboia russelii and Bothrops asper injection over time. A murine model of muscle necrosis based on venom injection was used to investigate up to 800 genes involved in fibrosis diseases and tissue regeneration using the multiplex RNA panel Fibrosis V2 from NanoString technology.
Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.
Project description:The purpose of this study is the investigation of new host-microbiome interactions promoting adenoma formation and adenocarcinoma progression. For that purpose, the investigators will collect saliva, stool and colon biopsy specimens from patients referred to colonoscopy or surgical resection of colorectal tumor. Besides, a questionnaire about diet, lifestyle and medical history will be collected. Sample analysis will involve simultaneous characterization of host and microbiota genomic and transcriptomic components.
