Project description:Snakebite is a neglected tropical disease and a globally important driver of death and morbidity. Vipers of the genus Macrovipera (Viperidae: Viperinae) are among the snakes of higher medical importance in the Old World. Despite the medical relevance of Macrovipera venoms, the knowledge regarding them is heterogeneously distributed with virtually all works conducted so far focusing on subspecies of Macrovipera lebetinus, while other species within the genus are largely overlooked. Here we present the first proteomic evaluation of the venom from the Greek endemic Milos viper (Macrovipera schweizeri). In line with clinical symptoms typically elicited by Macrovipera envenomations, Milos viper venom primarily comprises coagulotoxic and cytotoxic protein families, such as metalloproteinases (svMP) and serine proteases (svSP). We conducted comparative bioactivity assays on venoms from M. schweizeri and the M. lebetinus subspecies M. lebetinus cernovi, M. lebetinus obtusa, and M. lebetinus turanica, and showed that they all exhibit similarities in levels of cytotoxicity proteolytic activity, and inhibition of prokaryotic growth. Lastly, we compared 1D-SDS-PAGE and RP-HPLC Macrovipera spp. venom profiles, as well as our proteomic data with previously published Macrovipera venom proteomes. The analyses performed reveal that a general venom profile seems to be conserved across blunt-nosed vipers, and that, similarly to M. lebetinus venom, M. schweizeri venom is able to cause significant tissue damage. The present work represents an important starting point to the development of comparative studies across the full taxonomic range of Macrovipera spp., and can potentially help optimize the treatment of envenomations caused by M. schweizeri.
2023-10-24 | PXD043615 | Pride
Project description:Candoia aspera (viper boa) genome, rCanAsp1, sequence data
Project description:In a post-hoc exploratory analysis of the KING trial to seek molecular markers of outcome, RNAseq was performed on resected tumor specimens at the time of diagnostic surgery before the recurrence from 57 study patients from all arms with adequate selinexor exposure and evidence of either clinical benefit or resistance defined above. RNAseq data were used to infer the activity for 6,203 master regulator proteins using the VIPER algorithm.
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.
2017-12-18 | PXD006238 | Pride
Project description:Transcriptome of Shedao pit-viper and black eyebrow pit-viper
Project description:This dataset was used to benchmark the Virtual Inference of Protein-activity by Regulon Readout algorithm (VIPER). Despite recent advances in molecular profiling, proteome-wide assessment of protein activity in individual samples remains a highly elusive target. In stark contrast, protein activity quantitation is increasingly critical to the dissection of key regulatory processes and to the elucidation of biologically relevant mechanisms. Importantly, its value extends to the study of drug activity, as most small molecules inhibit activity of their cognate protein substrates without affecting the protein’s or associated mRNA’s abundance. VIPER leverages the increasingly accurate and context specific knowledge of regulatory networks. Specifically, it uses the expression of the transcriptional targets most directly regulated by a given protein in an individual sample as a reporter for the computational inference of its activity.