High-Throughput Two-Dimensional Polymerase Chain Reaction Technology

2019 ◽  
Vol 92 (1) ◽  
pp. 674-682
Author(s):  
Yuxia Zhan ◽  
Jun Zhang ◽  
Shuang Yao ◽  
Guanghua Luo
2012 ◽  
Vol 24 (3) ◽  
pp. 469-478 ◽  
Author(s):  
Piet A. van Rijn ◽  
René G. Heutink ◽  
Jan Boonstra ◽  
Hans A. Kramps ◽  
René G. P. van Gennip

The Analyst ◽  
2018 ◽  
Vol 143 (5) ◽  
pp. 1259-1267 ◽  
Author(s):  
Fuming Sang ◽  
Zhizhou Zhang ◽  
Lin Yuan ◽  
Deli Liu

We developed a Pfu polymerase based multi-round PCR technique assisted by quantum dots (QDs).


2009 ◽  
Vol 21 (5) ◽  
pp. 679-683 ◽  
Author(s):  
Pamela J. Ferro ◽  
Jason Osterstock ◽  
Bo Norby ◽  
Geoffrey T. Fosgate ◽  
Blanca Lupiani

As concerns over the global spread of highly pathogenic avian influenza H5N1 have heightened, more countries are faced with increased surveillance efforts and incident response planning for handling a potential outbreak. The incorporation of molecular techniques in most diagnostic laboratories has enabled fast and efficient testing of many agents of concern, including avian influenza. However, the need for high-throughput testing remains. In this study, the use of a 384–well format for high-throughput real-time reverse transcription polymerase chain reaction (real-time RT-PCR) testing for avian influenza is described. The analytical sensitivity of a real-time RT-PCR assay for avian influenza virus matrix gene with the use of both 96– and 384–well assay formats and serial dilutions of transcribed control RNA were comparable, resulting in similar limits of detection. Of 28 hunter-collected cloacal swabs that were positive by virus isolation, 26 (92.9%) and 27 (96.4%) were positive in the 96– and 384–well assays, respectively; of the 340 hunter-collected swabs that were negative by virus isolation, 45 (13.2%) and 23 (6.8%) were positive in the 96– and 384–well assays, respectively. The data presented herein supports the utility of the 384–well format in the event of an avian influenza outbreak for high-throughput real-time RT-PCR testing.


2010 ◽  
Vol 4 (2) ◽  
pp. 024103 ◽  
Author(s):  
D. Sugumar ◽  
Asma Ismail ◽  
Manickam Ravichandran ◽  
Ismail Aziah ◽  
L. X. Kong

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