Project description:Cryptococcus neoformans is a fungal pathogen responsible for an increased mortality among immunocompromised individuals. Long antifungal therapies to treat cryptococcal infections have compounded the occurrence of resistant strains that threaten the efficacy of current treatments. In this senseDue to resistance mechanisms, discovery of compounds that inhibit virulence factors, rather than kill the fungus, have emerged as potential new strategies to combat infection and reduce the rate of resistance due to lower selective pressure. Invertebrates rely solely on an effective innate immune system to prevent infections, provide providing a potential one health approach for discovery of novel antifungal and antibacterial compounds. Here, we demonstrate a differentiated extraction of proteins from three mollusks (freshwater and terrestrial) and evaluate extract their effects against the growth and virulence factor production (thermotolerance, melanin, capsule, and biofilm) in C. neoformans. We show that clarified extracts of Planorbella pilsbryi have a fungicidal effect on cryptococcal cells in a comparable way to Fluconazolefluconazole. Similarly, crude and clarifiedall extracts of Cipangopaludina chinensis not only affects cryptococcal thermotolerance but also impairs biofilm and capsule production. In addition, incubation of C. neoformans with clarified extracts of Cepaea nemoralis extracts reduced capsule production. Using inhibitory activity of extracts against peptidases related with virulence factors and Quantitative quantitative proteomics arose distinct proteome signatures for each extract and proposed proteins driving the observed anti-virulence properties. Overall, this work demonstratesproves the potential of compounds derived from natural sources to inhibit virulence factor production in a clinically important fungal pathogen.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.
