@article{ebfcf4e6f00343a4bdd118c43c5ff4df,
title = "Computational analysis of microRNA-mediated antiviral defense in humans",
abstract = "Recent studies have proposed the interesting perspective that viral gene expression is downregulated by host microRNAs (miRNAs), small non-coding RNAs well known as post-transcriptional gene regulators. We computationally predicted human miRNA target sites within 228 human-infecting and 348 invertebrate-infecting virus genomes, and we observed that human-infecting viruses were more likely than invertebrate-infecting ones to be targeted by human miRNAs. We listed 62 possible human miRNA-targeted viruses from 6 families, most of which consisted of single-stranded RNA viruses. These results suggest that miRNAs extensively mediate antiviral defenses in humans.",
keywords = "Bioinformatics, Homo sapiens, MicroRNA, TargetScan, ssRNA-positive strand virus",
author = "Yuka Watanabe and Atsuko Kishi and Nozomu Yachie and Akio Kanai and Masaru Tomita",
note = "Funding Information: We thank Kosuke Fujishima and Hikaru Taniguchi (Keio University) for advices on carrying out the computational analysis, and Dr. Satoshi Koike (Tokyo Metropolitan Institute for Neuroscience) for useful comments on the virus tropism. We are also grateful to Dr. Rintaro Saito, Dr. Yuko Osada (Keio University) and Dr. Koji Numata (RIKEN BioResource Center) for their critical discussions throughout this study. This research was supported in part by a Grant-in-Aid from the 21st Century Center of Excellence (COE) Program, entitled “Understanding and Control of Life{\textquoteright}s Function via Systems Biology (Keio University)”; the Computer Simulation Project, Ministry of Education, Culture, Sport, Science and Technology, Japan; the Japan Society for the Promotion of Science (JSPS); the research funds from the Yamagata government and Tsuruoka City, Japan; and Keio University. ",
year = "2007",
month = oct,
day = "2",
doi = "10.1016/j.febslet.2007.08.049",
language = "English",
volume = "581",
pages = "4603--4610",
journal = "FEBS Letters",
issn = "0014-5793",
publisher = "Elsevier",
number = "24",
}