Triple RNA-Seq Reveals Synergy in a Human Virus-Fungus Co-infection Model
Bastian Seelbinder, Julia Wallstabe, Lothar Marischen, Esther Weiß, Sebastian Wurster, Lukas Page, Claudia Löffler, Lydia Bussemer, Anna-Lena Schmitt, Thomas Wolf, Jörg Linde, Luka Čičin‐Šain, Jennifer Becker, Ulrich Kalinke, Jörg Vogel, Gianni Panagiotou, Hermann Einsele, Alexander J. Westermann, Sascha Schäuble, Juergen Loeffler
Abstract
High-throughput RNA sequencing (RNA-seq) is routinely applied to study diverse biological processes; however, when performed separately on interacting organisms, systemic noise intrinsic to RNA extraction, library preparation, and sequencing hampers the identification of cross-species interaction nodes. Here, we develop triple RNA-seq to simultaneously detect transcriptomes of monocyte-derived dendritic cells (moDCs) infected with the frequently co-occurring pulmonary pathogens Aspergillus fumigatus and human cytomegalovirus (CMV). Comparing expression patterns after co-infection with those after single infections, our data reveal synergistic effects and mutual interferences between host responses to the two pathogens. For example, CMV attenuates the fungus-mediated activation of pro-inflammatory cytokines through NF-κB (nuclear factor κB) and NFAT (nuclear factor of activated T cells) cascades, while A. fumigatus impairs viral clearance by counteracting viral nucleic acid-induced activation of type I interferon signaling. Together, the analytical power of triple RNA-seq proposes molecular hubs in the differential moDC response to fungal/viral single infection or co-infection that contribute to our understanding of the etiology and, potentially, clearance of post-transplant infections.