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Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integration methods to develop a Unified Knowledge Space (UKS) and used it to identify a new set of genes associated with SARS-CoV-2 host response, both in vitro and in vivo. Functional analysis of these genes reveals possible long-term systemic effects of the infection, such as vascular remodelling and fibrosis. Finally, we identified a set of potentially relevant drugs targeting proteins involved in multiple steps of the host response to the virus.<\/jats:p>","DOI":"10.1093\/bib\/bbaa417","type":"journal-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T12:09:14Z","timestamp":1608552554000},"page":"1430-1441","source":"Crossref","is-referenced-by-count":34,"title":["Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment"],"prefix":"10.1093","volume":"22","author":[{"given":"Alisa","family":"Pavel","sequence":"first","affiliation":[{"name":"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland"},{"name":"BioMediTech Institute, Tampere University, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giusy","family":"del Giudice","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland"},{"name":"BioMediTech 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