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Biology subjects

Jean, M.

Publications and source records attributed to Jean, M..

2 recordsLinked to original sources

Polyamine biosynthesis and eIF5A hypusination are modulated by the DNA tumor virus KSHV and promote KSHV viral infection

Polyamines are critical metabolites involved in various cellular processes and often dysregulated in cancers. Kaposis sarcoma associated Herpesvirus (KSHV) is a defined oncogenic virus belonging to the sub-family of human gamma-herpesviruses. KSHV infection leads to the profound alteration of host metabolic landscape to favor the development of KSHV-associated malignancies. In our studies, we identified that polyamine biosynthesis and eIF5A hypusination are dynamically regulated by KSHV infection likely through the modulation of key enzymes of these pathways, such as ODC1, and that in return these metabolic pathways are required for both KSHV lytic switch from latency and de novo infection. The further analysis unraveled that translation of critical KSHV latent and lytic proteins (LANA, RTA) depends on eIF5A hypusination. We also demonstrated that KSHV infection can be efficiently and specifically suppressed by using inhibitors targeting either polyamine biosynthesis or eIF5A hypusination. Above all, our results illustrated that the dynamic and profound interaction of a DNA tumor virus (KSHV) with host polyamine biosynthesis and eIF5A hypusination metabolic pathways promote viral propagation and oncogenesis, which serve as new therapeutic targets to treat KSHV-associated malignancies.

microbiology

Mapping Gene-Microbe Interactions: Insights from Functional Genomics Co-culture Experiments between Saccharomyces cerevisiae and Pseudomonas spp.

Microbial interactions contribute to shape ecosystems and their functions. The interplay between microorganisms also shapes the evolutionary trajectory of each species, by imposing metabolic and physiological selective pressures. The mechanisms underlying these interactions are thus of interest to improve our understanding of microbial evolution at the genetic level. Here we applied a functional genomics approach in the model yeast Saccharomyces cerevisiae to identify the fitness determinants of naive biotic interactions. We used a barcoded prototroph yeast deletion collection to perform pooled fitness competitions in co-culture with seven Pseudomonas spp natural isolates. We found that co-culture had a positive impact on fitness profiles, as in general the deleterious effects of loss of function in our nutrient-poor media were mitigated. In total, 643 genes showed a fitness difference in co-culture, most of which can be explained by a media diversification procured by bacterial metabolism. However, a large fraction (36%) of gene-microbe interactions could not be recaptured in cell-free supernatant experiments, showcasing that feedback mechanisms or physical contacts modulate these interactions. Also, the gene list of some co-cultures was enriched with homologs in other eukaryote species, suggesting a variable degree of specificity underlying the mechanisms of biotic interactions and that these interactions could also exist in other organisms. Our results illustrate how microbial interactions can contribute to shape the interplay between genomes and species interactions, and that S. cerevisiae is a powerful model to study the impact of biotic interactions.

evolutionary biology