| Literature DB >> 26113495 |
Sydney M Shaffer1, Rohan P Joshi, Benjamin S Chambers, David Sterken, Andrew G Biaesch, David J Gabrieli, Yang Li, Kristen A Feemster, Scott E Hensley, David Issadore, Arjun Raj.
Abstract
Viral infections are a major cause of human disease, but many require molecular assays for conclusive diagnosis. Current assays typically rely on RT-PCR or ELISA; however, these tests often have limited speed, sensitivity or specificity. Here, we demonstrate that rapid RNA FISH is a viable alternative method that could improve upon these limitations. We describe a platform beginning with software to generate RNA FISH probes both for distinguishing related strains of virus (even those different by a single base) and for capturing large numbers of strains simultaneously. Next, we present a simple fluidic device for reliably performing RNA FISH assays in an automated fashion. Finally, we describe an automated image processing pipeline to robustly identify uninfected and infected samples. Together, our results establish RNA FISH as a methodology with potential for viral point-of-care diagnostics.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26113495 PMCID: PMC4670042 DOI: 10.1039/c5lc00459d
Source DB: PubMed Journal: Lab Chip ISSN: 1473-0189 Impact factor: 6.799