Network-Guided Discovery of Influenza Virus Replication Host Factors

Author:

Ackerman Emily E.1,Kawakami Eiryo23,Katoh Manami34,Watanabe Tokiko23,Watanabe Shinji2,Tomita Yuriko23,Lopes Tiago J.25,Matsuoka Yukiko34,Kitano Hiroaki2367,Shoemaker Jason E.1238,Kawaoka Yoshihiro2359

Affiliation:

1. Department of Chemical & Petroleum Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

2. Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan

3. ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency, Saitama, Japan

4. The Systems Biology Institute, Tokyo, Japan

5. Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin—Madison, Madison, Wisconsin, USA

6. Laboratory for Disease Systems Modeling, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan

7. Okinawa Institute of Science and Technology, Okinawa, Japan

8. Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

9. Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan

Abstract

Integrating virus-host interactions with host protein-protein interactions, we have created a method using these established network practices to identify host factors (i.e., proteins) that are likely candidates for antiviral drug targeting. We demonstrate that interaction cascades between host proteins that directly interact with viral proteins and host factors that are important to influenza virus replication are enriched for signaling and immune processes. Additionally, we show that host proteins that interact with viral proteins are in network locations of power. Finally, we demonstrate a new network methodology to predict novel host factors and validate predictions with an siRNA screen. Our results show that integrating virus-host proteins interactions is useful in the identification of antiviral drug target candidates.

Funder

Howard Hughes Medical Institute

University of Pittsburgh

Japan Agency for Medical Research and Development

Ministry of Education, Culture, Sports, Science and Technology

MEXT | Japan Science and Technology Agency

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3