Viruses 2012, 4(8), 1354-1371; doi:10.3390/v4081354
Review

Shedding Light on Filovirus Infection with High-Content Imaging

1,2email, 1email and 1,* email
Received: 6 July 2012; in revised form: 9 August 2012 / Accepted: 9 August 2012 / Published: 23 August 2012
(This article belongs to the Special Issue Advances in Filovirus Research 2012)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Microscopy has been instrumental in the discovery and characterization of microorganisms. Major advances in high-throughput fluorescence microscopy and automated, high-content image analysis tools are paving the way to the systematic and quantitative study of the molecular properties of cellular systems, both at the population and at the single-cell level. High-Content Imaging (HCI) has been used to characterize host-virus interactions in genome-wide reverse genetic screens and to identify novel cellular factors implicated in the binding, entry, replication and egress of several pathogenic viruses. Here we present an overview of the most significant applications of HCI in the context of the cell biology of filovirus infection. HCI assays have been recently implemented to quantitatively study filoviruses in cell culture, employing either infectious viruses in a BSL-4 environment or surrogate genetic systems in a BSL-2 environment. These assays are becoming instrumental for small molecule and siRNA screens aimed at the discovery of both cellular therapeutic targets and of compounds with anti-viral properties. We discuss the current practical constraints limiting the implementation of high-throughput biology in a BSL-4 environment, and propose possible solutions to safely perform high-content, high-throughput filovirus infection assays. Finally, we discuss possible novel applications of HCI in the context of filovirus research with particular emphasis on the identification of possible cellular biomarkers of virus infection.
Keywords: filoviruses; High-Content Imaging; therapeutics; host-pathogen interactions; phenotype
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MDPI and ACS Style

Pegoraro, G.; Bavari, S.; Panchal, R.G. Shedding Light on Filovirus Infection with High-Content Imaging. Viruses 2012, 4, 1354-1371.

AMA Style

Pegoraro G, Bavari S, Panchal RG. Shedding Light on Filovirus Infection with High-Content Imaging. Viruses. 2012; 4(8):1354-1371.

Chicago/Turabian Style

Pegoraro, Gianluca; Bavari, Sina; Panchal, Rekha G. 2012. "Shedding Light on Filovirus Infection with High-Content Imaging." Viruses 4, no. 8: 1354-1371.

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