Ligase detection reaction generation of reverse molecular beacons for near real-time analysis of bacterial pathogens using single-pair fluorescence resonance energy transfer and a cyclic olefin copolymer microfluidic chip.
Ligase detection reaction generation of reverse molecular beacons for near real-time analysis of bacterial pathogens using single-pair fluorescence resonance energy transfer and a cyclic olefin copolymer microfluidic chip.
复制标题
DOI:
10.1021/ac101843n
复制
发表时间:
2010-12-01
影响因子:
7.4
通讯作者:
Davis, Lloyd M.
中科院分区:
文献类型:
--
作者:
Peng, Zhiyong;Soper, Steven A.;Pingle, Maneesh R.;Barany, Francis;Davis, Lloyd M.
Detection of pathogenic bacteria and viruses require strategies that can signal the presence of these targets in near real-time due to the potential threats created by rapid dissemination into water and/or food supplies. In this paper, we report an innovative strategy that can rapidly detect bacterial pathogens using reporter sequences found in their genome without requiring polymerase chain reaction (PCR). A pair of strain-specific primers was designed based on the 16S rRNA gene and were end-labeled with a donor (Cy5) or acceptor (Cy5.5) dye. In the presence of the target bacterium, the primers were joined using a ligase detection reaction (LDR) only when the primers were completely complementary to the target sequence to form a reverse molecular beacon (rMB), thus bringing Cy5 (donor) and Cy5.5 (acceptor) into close proximity to allow fluorescence resonance energy transfer (FRET) to occur. These rMBs were subsequently analyzed using single-molecule detection of the FRET pairs (single-pair FRET; spFRET). The LDR was performed using a continuous flow thermal cycling process configured in a cyclic olefin copolymer (COC) microfluidic device using either 2 or 20 thermal cycles. Single-molecule photon bursts from the resulting rMBs were detected on-chip and registered using a simple laser-induced fluorescence (LIF) instrument. The spFRET signatures from the target pathogens were reported in as little as 2.6 min using spFRET.
登录
查看更多内容
影响因子:
6.1
作者:
Alarcón, B;García-Cañas, V;Aznar, R
通讯作者:
Aznar, R
影响因子:
7.4
作者:
Belgrader, P;Elkin, CJ;Marshall, GD
通讯作者:
Marshall, GD
影响因子:
7.4
作者:
Jarvis, RM;Goodacre, R
通讯作者:
Goodacre, R
影响因子:
11.4
作者:
Loge, FN;Thompson, DE;Call, DR
通讯作者:
Call, DR
影响因子:
4.4
作者:
Mali, K. S.;Dutt, G. B.;Mukherjee, T.
通讯作者:
Mukherjee, T.