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Journal of Clinical Microbiology, April 2001, p. 1264-1271, Vol. 39, No. 4
0095-1137/01/$04.00+0 DOI: 10.1128/JCM.39.4.1264-1271.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
High-Throughput Detection of West Nile Virus
RNA
Pei-Yong
Shi,1,*
Elizabeth B.
Kauffman,1
Ping
Ren,1
Andy
Felton,2
Jennifer H.
Tai,3
Alan P.
Dupuis II,1
Susan A.
Jones,1
Kiet A.
Ngo,1
David C.
Nicholas,1
Joseph
Maffei,1
Gregory D.
Ebel,1
Kristen A.
Bernard,1 and
Laura D.
Kramer1
Wadsworth Center for Laboratories and
Research, New York State Department of Health, Albany, New York
122011; Applied Biosystems, Sample
Preparation Systems, Foster City, California
944042; and Division of Viral and
Rickettsial Diseases, Centers for Disease Control and Prevention,
Atlanta, Georgia 303333
Received 12 December 2000/Accepted 18 January 2001
The recent outbreaks of West Nile virus (WNV) in the northeastern
United States and other regions of the world have made it essential to
develop an efficient protocol for surveillance of WNV. In the present
report, we describe a high-throughput procedure that combines automated
RNA extraction, amplification, and detection of WNV RNA. The procedure
analyzed 96 samples in approximately 4.5 h. A robotic system, the
ABI Prism 6700 Automated Nucleic Acid workstation, extracted RNA and
set up reactions for real-time reverse transcription (RT)-PCR in a
96-well format. The robot extracted RNA with a recovery as efficient as
that of a commercial RNA extraction kit. A real-time RT-PCR assay was
used to detect and quantitate WNV RNA. Using in vitro transcribed RNA,
we estimated the detection limit of the real-time RT-PCR to be
approximately 40 copies of RNA. A standard RT-PCR assay was optimized
to a sensitivity similar to that of the real-time RT-PCR. The standard
assay can be reliably used to test a small number of samples or to
confirm previous test results. Using internal primers in a nested
RT-PCR, we increased the sensitivity by approximately 10-fold compared to that of the standard RT-PCR. The results of the study demonstrated for the first time that the use of an automated system for the purpose
of large-scale viral RNA surveillance dramatically increased the speed
and efficiency of sample throughput for diagnosis.
*
Corresponding author. Mailing address: Wadsworth Center
for Laboratories and Research, New York State Department of Health, 120 New Scotland Ave., Albany, NY 12201. Phone: (518) 473-7487. Fax: (518)
473-1326. E-mail: ship{at}wadsworth.org.
Journal of Clinical Microbiology, April 2001, p. 1264-1271, Vol. 39, No. 4
0095-1137/01/$04.00+0 DOI: 10.1128/JCM.39.4.1264-1271.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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