Nature Communications (Oct 2018)
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
- Slim Fourati,
- Aarthi Talla,
- Mehrad Mahmoudian,
- Joshua G. Burkhart,
- Riku Klén,
- Ricardo Henao,
- Thomas Yu,
- Zafer Aydın,
- Ka Yee Yeung,
- Mehmet Eren Ahsen,
- Reem Almugbel,
- Samad Jahandideh,
- Xiao Liang,
- Torbjörn E. M. Nordling,
- Motoki Shiga,
- Ana Stanescu,
- Robert Vogel,
- The Respiratory Viral DREAM Challenge Consortium,
- Gaurav Pandey,
- Christopher Chiu,
- Micah T. McClain,
- Christopher W. Woods,
- Geoffrey S. Ginsburg,
- Laura L. Elo,
- Ephraim L. Tsalik,
- Lara M. Mangravite,
- Solveig K. Sieberts
Affiliations
- Slim Fourati
- Department of Pathology, School of Medicine, Case Western Reserve University
- Aarthi Talla
- Department of Pathology, School of Medicine, Case Western Reserve University
- Mehrad Mahmoudian
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University
- Joshua G. Burkhart
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University
- Riku Klén
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University
- Ricardo Henao
- Duke Center for Applied Genomics and Precision Medicine, Duke University School of Medicine
- Thomas Yu
- Sage Bionetworks
- Zafer Aydın
- Department of Computer Engineering, Abdullah Gul University
- Ka Yee Yeung
- School of Engineering and Technology, University of Washington Tacoma
- Mehmet Eren Ahsen
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
- Reem Almugbel
- School of Engineering and Technology, University of Washington Tacoma
- Samad Jahandideh
- Origent Data Sciences, Inc.
- Xiao Liang
- School of Engineering and Technology, University of Washington Tacoma
- Torbjörn E. M. Nordling
- Department of Mechanical Engineering, National Cheng Kung University
- Motoki Shiga
- Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University
- Ana Stanescu
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
- Robert Vogel
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
- The Respiratory Viral DREAM Challenge Consortium
- Gaurav Pandey
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
- Christopher Chiu
- Section of Infectious Diseases and Immunity, Imperial College London
- Micah T. McClain
- Duke Center for Applied Genomics and Precision Medicine, Duke University School of Medicine
- Christopher W. Woods
- Duke Center for Applied Genomics and Precision Medicine, Duke University School of Medicine
- Geoffrey S. Ginsburg
- Duke Center for Applied Genomics and Precision Medicine, Duke University School of Medicine
- Laura L. Elo
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University
- Ephraim L. Tsalik
- Duke Center for Applied Genomics and Precision Medicine, Duke University School of Medicine
- Lara M. Mangravite
- Sage Bionetworks
- Solveig K. Sieberts
- Sage Bionetworks
- DOI
- https://doi.org/10.1038/s41467-018-06735-8
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 11
Abstract
The response to respiratory virus exposure can currently not be predicted by pre- or early post-exposure molecular signatures. Here, the authors conduct a community-based analysis of blood gene expression from healthy individuals exposed to respiratory viruses and provide predictive models and biological insight into the physiological response.
