Biology subjects

Cornet, M.

Publications and source records attributed to Cornet, M..

4 recordsLinked to original sources

bioRxiv2023

From CFTR to a CF signalling network: a systems biology approach to study Cystic fibrosis

BackgroundCystic Fibrosis (CF) is a monogenic disease caused by mutations in the gene coding the Cystic Fibrosis Transmembrane Regulator (CFTR) protein, but its overall physio-pathology cannot be solely explained by the loss of the CFTR chloride channel function. Indeed, CFTR belongs to a yet not fully deciphered network of proteins participating in various signalling pathways. MethodsWe propose a systems biology approach to study how the absence of the CFTR protein at the membrane leads to perturbation of these pathways, resulting in a panel of deleterious CF cellular phenotypes. ResultsBased on publicly available transcriptomic datasets, we built and analyzed a CF network that recapitulates signalling dysregulations. The CF network topology and its resulting phenotype was found to be consistent with CF pathology. ConclusionAnalysis of the network topology highlighted a few proteins that may initiate the propagation of dysregulations, those that trigger CF cellular phenotypes, and suggested several candidate therapeutic targets. Although our research is focused on CF, the global approach proposed in the present paper could also be followed to study other rare monogenic diseases.

systems biology↗

bioRxiv2023

Targeting fungal BET bromodomains as a pan-Candida antifungal strategy

Small molecules that target one or both bromodomains (BDs) of human BET proteins are intensely studied as potential new therapeutics against cancer, diabetes and other diseases. The BDs of the fungal BET protein Bdf1 are essential for the human fungal pathogen Candida albicans, suggesting BET inhibition as a potential antifungal strategy. However, while the inactivation of both Bdf1 BDs is lethal, that of a single BD only modestly affects viability, implying the need to develop antifungal compounds that selectively target both Bdf1 BDs without inhibiting human BDs. Here, we investigate Bdf1 as a potential antifungal target in Candida glabrata, an invasive Candida species phylogenetically distant from C. albicans and of increasing medical concern. We show that Bdf1 BD functionality is essential in C. glabrata and identify a phenyltriazine derivative that targets both Bdf1 BDs with selectivity over human BET BDs. We show that human BET BDs can functionally replace Bdf1 BDs in C. glabrata and we use the humanized strains to demonstrate on-target antifungal activity of the phenyltriazine compound. Moreover, by exploiting the humanized and parental fungal strains we identified BET inhibitor I-BET726 to have potent antifungal activity against a broad spectrum of Candida species, including azole- and echinocandin-resistant clinical C. albicans and C. glabrata isolates. Crystal structures suggest how to improve the potency and selectivity of these compounds. Taken together, our findings provide compelling support for the development of BET inhibitors as potential pan-Candida antifungal therapeutics.

biochemistry↗

bioRxiv2022

Representation and quantification Of Module Activity from omics data with rROMA

The efficiency of analyzing high-throughput data in systems biology has been demonstrated in numerous studies, where molecular data, such as transcriptomics and proteomics, offers great opportunities for understanding the complexity of biological processes. One important aspect of data analysis in systems biology is the shift from a reductionist approach that focuses on individual components to a more integrative perspective that considers the system as a whole, where the emphasis shifted from differential expression of individual genes to determining the activity of gene sets. Here, we present the rROMA software package for fast and accurate computation of the activity of gene sets with coordinated expression. The rROMA package incorporates significant improvements in the calculation algorithm, along with the implementation of several functions for statistical analysis and visualizing results. These additions greatly expand the packages capabilities and offer valuable tools for data analysis and interpretation. It is an open-source package available on github at: www.github.com/sysbio-curie/rROMA. Based on publicly available transcriptomic datasets, we applied rROMA to cystic fibrosis, highlighting biological mechanisms potentially involved in the establishment and progression of the disease and the associated genes. Results indicate that rROMA can detect disease-related active signaling pathways using transcriptomic and proteomic data. The results notably identified a significant mechanism relevant to cystic fibrosis, raised awareness of a possible bias related to cell culture, and uncovered an intriguing gene that warrants further investigation. Contact: loredana.martignetti@curie.fr

systems biology↗

bioRxiv2022

Inulin prebiotic reinforces host cancer immunosurveillance via γδ T cell activation

The gut microbiota is now recognized as a key parameter affecting the hosts anti-cancer immunosurveillance and ability to respond to immunotherapy. Therefore, optimal modulation for preventive and therapeutic purposes is very appealing. Diet is one of the most potent modulators of microbiota, and thus nutritional intervention could be exploited to improve host anti-cancer immunity. Here, we show that an inulin-enriched diet, a prebiotic known to promote immunostimulatory bacteria, triggers an enhanced Th1-polarized CD4+ and CD8+ {beta} T cell-mediated anti-tumor response and attenuates tumor growth in three preclinical tumor-bearing mouse models. We highlighted that the inulin-mediated anti-tumor effect relies on the activation of both intestinal and tumor-infiltrating {gamma}{delta} T cells that are indispensable for {beta} T cell activation and subsequent tumor growth control, in a microbiota-dependent manner. Overall, our data identified these cells as a critical immune subset, mandatory for inulin-mediated anti-tumor immunity in vivo, further supporting and rationalizing the use of such prebiotic approaches, as well as the development of immunotherapies targeting {gamma}{delta} T cells in cancer prevention and immunotherapy. SignificanceOur study reveals that {gamma}{delta} T cells anti-cancer activity can be improved by nutritional intervention, in a microbiota-dependent manner. This work also indicates that {gamma}{delta} T cells are indispensable for reinforcing {beta} T cells cancer immunosurveillance and subsequent tumor growth control. We believe that these findings could be of interest to the field of gut microbiota modulation, rationalizing the use of such prebiotic approaches as well as {gamma}{delta} T cells targeting, in cancer prevention and immunotherapy.

immunology↗