Editorial on the Research TopicThe application of OMICS technologies to interrogate hostvirus interactionsViruses can infect all types of life forms, ranging from humans to bacteria. Highcontent data generated with omics technologies can be used to identify emergent properties of these systems, providing targets for further mechanistic investigations. Since the completion of the first genome sequencing projects, omics approaches have been used to study the dynamics and complexity of host-virus interactions. Starting with early microarray studies aiming to cover a fraction of the host genome and progressively moving into deep-sequencing projects, these studies shed light on the modulation of host gene expression profiles upon infection. In addition, changes in the protein level could be accessed via mass spectrometry-based proteomic methods (Luo and Muesing 2014), applied on a genome scale [reviewed in (Lum and Cristea, 2016)]. These investigations allowed direct protein quantification that partially validated previous transcriptomic findings and highlighted the complexity of the regulation of protein translation and post-translation modifications during virus infection (Hoogendijk et al., 2019;Kumar et al., 2020). More recently, network analysis has been progressively used to identify promising targets for therapeutic interventions and drug repurposing, and is now playing a role in vaccine development studies (Hagan et al., 2015;Pulendran et al., 2021). At the same time, reduced sequencing costs and evolving hardware capabilities now allow for massive projects involving multi-omics data integration (Sammut et al., 2022) and reviewed in (Wang et al. 2019;Appiasie et al., 2021). Therefore, this Research Topic discloses the state-of-the-art omics technology applied to virus-host interactions. It introduces five selected articles from Frontiers in Cellular and Infection Microbiology frontiersin.org 01