Academic Thesis

Basic information

Name Ogawa Hirohito
Belonging department
Occupation name
researchmap researcher code 6000004515
researchmap agency Okayama University of Science

Title

Detection of all known filovirus species by reverse transcription-polymerase chain reaction using a primer set specific for the viral nucleoprotein gene

Bibliography Type

 

Author

Hirohito Ogawa
Hiroko Miyamoto
Hideki Ebihara
Kimihito Ito
Shigeru Morikawa
Heinz Feldmann
Ayato Takada

Summary

The filoviruses, Marburg virus (MARV) and Ebola virus (EBOV), are causative agents of severe hemorrhagic fever with high mortality rates in humans and non-human primates. Sporadic outbreaks of filovirus infection have occurred in Central Africa and parts of Asia. Identification of the natural reservoir animals that are unknown yet and epidemiological investigations are current challenges to forestall outbreaks of filovirus diseases. The filovirus species identified currently include one in the MARV group and five in the EBOV group, with large genetic variations found among the species. Therefore, it has been difficult to develop a single sensitive assay to detect all filovirus species, which would advance laboratory diagnosis greatly in endemic areas. In this study, a highly sensitive universal RT-PCR assay targeting the nucleoprotein (NP) gene of filoviruses was developed. The genomic RNAs of all known MARV and EBOV species were detected by using an NP-specific primer set. In addition, this RT-PCR procedure was verified further for its application to detect viral RNAs in tissue samples of animals infected experimentally and blood specimens of infected patients. This assay will be a useful method for diagnostics and epidemiological studies of filovirus infections. (C) 2010 Elsevier B.V. All rights reserved.

Magazine(name)

JOURNAL OF VIROLOGICAL METHODS

Publisher

ELSEVIER SCIENCE BV

Volume

171

Number Of Pages

1

StartingPage

310

EndingPage

313

Date of Issue

2011-01

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

 

DOI

10.1016/j.jviromet.2010.11.010

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PMID

 

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arXiv ID

 

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DBLP ID