title: Gambling with Flu: "All in" to Maximize Reward.
abstract: In this issue of Cell Host & Microbe, Tripathi et al. (2015) report an in-depth meta-analysis of eight influenza virus siRNA screens combined with viral-host protein interactome data. The integration of the different omics datasets highlights candidate genes and pathways for further investigation and potential therapeutic targeting in the future.
authors.affiliation: Innate immunity laboratory, Max-Planck Institute of Biochemistry, 82152 Martinsried/Munich, Germany.
authors.forename: Alexey
authors.initials: A
authors.lastname: Stukalov
authors.affiliation: Innate immunity laboratory, Max-Planck Institute of Biochemistry, 82152 Martinsried/Munich, Germany. Electronic address: apichl@biochem.mpg.de.
authors.forename: Andreas
authors.initials: A
authors.lastname: Pichlmair
mesh_terms: D005715:Gambling; D006801:Humans; D009975:Orthomyxoviridae / Q000235:genetics*; D034741:RNA, Small Interfering; D012201:Reward; D014764:Viral Proteins / Q000378:metabolism
chemical_list: D034741:RNA, Small Interfering; D014764:Viral Proteins