Biology subjects

Cohn, O.

Publications and source records attributed to Cohn, O..

3 recordsLinked to original sources

bioRxiv2022

The host transcriptional response to superinfection by influenza virus and streptococcus pneumonia

Secondary bacterial challenges during influenza virus infection ( superinfection) cause excessive mortality and hospitalization. Here we present a longitudinal study of gene-expression changes in murine lungs during superinfection, with an initial influenza A virus (IAV) infection and a subsequent Streptococcus pneumonia (SP) infection. In addition to the well-characterized impairment of the innate immune response, we identified superinfection-specific alterations in endothelial-related genes, including a previously uncharacterized rapid downregulation of particular angiogenic and vascular markers. Superinfection-specific alterations were also evident in the analysis of cellular states related to the hosts immune resistance against pathogens. We found that superinfected mice manifested an excessive rapid induction of immune resistance starting only a few hours after the secondary bacterial challenge. In addition, there was a substantial rewiring of the resistance program: interferon-regulated genes were switched from positive to negative correlations with resistance, whereas genes of fatty-acid metabolism were switched from negative to positive correlations with resistance. Thus, the transcriptional resistance state in superinfection is reprogrammed toward repressed interferon signaling and induced fatty acid metabolism. Our findings suggest new insights into the remodeling of the host defense upon superinfection, providing promising targets for future therapeutic interventions.

systems biology↗

bioRxiv2022

Structure-function conservation between the methyltransferases SETD3 and SETD6

Among the protein lysine methyltransferases family members, it appears that SETD6 is highly similar and closely related to SETD3. The two methyltransferases show high similarity in their structure, which raised the hypothesis that they share cellular functions. Using a proteomic screen, we identified 52 shared interacting-proteins. Gene Ontology (GO) analysis of the shared proteins revealed significant enrichment of proteins involved in transcription. Our RNA-seq data of SETD6 KO and SETD3 KO HeLa cells identified [~]100 up-regulated and down-regulated shared genes. We have also identified a substantial number of genes that changed dramatically in the double KO cells but did not significantly change in the single KO cells. GO analysis of these genes revealed enrichment of apoptotic genes. Accordingly, we show that the double KO cells displayed high apoptotic levels, suggesting that SETD6 and SETD3 inhibit apoptosis. Collectively, our data strongly suggest a functional link between SETD6 and SETD3 in the regulation of apoptosis.

cell biology↗

bioRxiv2022

Distinct gene programs underpinning 'disease tolerance' and 'resistance' in influenza virus infection

When challenged with an invading pathogen, the host defense response is engaged to eliminate the pathogen (resistance) and to maintain health in the presence of the pathogen (disease tolerance). However, the identification of distinct molecular programs underpinning disease tolerance and resistance remained obscure. We exploited transcriptional and physiological monitoring across 33 mouse strains, during in vivo influenza virus infection, to identify two host-defense gene programs - one is associated with hallmarks of disease tolerance and the other with hallmarks of resistance. Both programs constitute generic responses in multiple mouse and human cell types. Our study describes the organizational principles of these programs and validates Arhgdia as a regulator of disease-tolerance states in epithelial cells. We further reveal that the baseline disease-tolerance state in macrophages is associated with the pathophysiological response to injury and infection. Our framework provides a paradigm for the understanding of disease tolerance and resistance at the molecular level.

systems biology↗