Digital Rolling Circle Amplification-Based Detection of Ebola and Other Tropical Viruses.

A new interesting article has been published in J Mol Diagn. 2019 Dec 16. pii: S1525-1578(19)30440-4. doi: 10.1016/j.jmoldx.2019.10.014. and titled:

Digital Rolling Circle Amplification-Based Detection of Ebola and Other Tropical Viruses.

Authors of this article are:

Ciftci S, Neumann F, Abdurahman S, Appelberg KS, Mirazimi A, Nilsson M, Madaboosi N.

A summary of the article is shown below:

Emerging tropical viruses have caused serious outbreaks during the recent years, such as Ebola virus (EBOV) in 2014 and the most recent in 2018 to 2019 in Congo. Thus, immediate diagnostic attention is demanded at the point of care in resource-limited settings, because the performance and the operational parameters of conventional EBOV testing are limited. Especially, their sensitivity, specificity, and coverage of other tropical disease viruses make them unsuitable for diagnostic at the point of care. Here, a padlock probe (PLP)-based rolling circle amplification (RCA) method for the detection of EBOV is presented. For this, a set of PLPs, separately targeting the viral RNA and complementary RNA of all seven EBOV genes, was used in the RCA assay and validated on virus isolates from cell culture. The assay was then translated for testing clinical samples, and simultaneous detection of both EBOV RNA types was demonstrated. For increased sensitivity, the RCA products were enriched on a simple and pump-free microfluidic chip. Because PLPs and RCA are inherently multiplexable, we demonstrate the extension of the probe panel for the simultaneous detection of the tropical viruses Ebola, Zika, and Dengue. The demonstrated high specificity, sensitivity, and multiplexing capability in combination with the digital quantification rendered the assay a promising diagnostic tool toward tropical virus detection at the point of care.Copyright © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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