College of Life Sciences, Zhejiang Sci-Tech University, No 2 Street, XiaSha, Hangzhou 310018, PR China.
Biosens Bioelectron. 2011 Apr 15;26(8):3719-24. doi: 10.1016/j.bios.2011.02.027. Epub 2011 Feb 22.
A multiplex reversal transcription-ligase detection reaction-polymerase chain reaction (MRLP) based universal microarray for the simultaneous pathogens detection was established by using potato viruses as a model. The proposed procedure integrated LDR for multiplicity and specificity, PCR amplification by universal primers for sensitivity, which required design of upstream and downstream LDR probes specific for each virus, and subsequent Zip-code microarray for multiplex and specific identification. Each MRLP fragments carried a unique sequence (complementary Zip-code sequence, cZip-code) which identified a virus by addressed to the location on the microarray where the Zip-code sequence has been spotted. Such Zip-code microarray and universal primers are therefore "universal" being unrelated to a specific molecular analyte. With this technique, target RNAs of ten potato viruses were reversal transcribed by random primer in a single reaction, then subjected to LDR and asymmetric labeling PCR as template, finally, the MRLP amplicons were analyzed by microarray hybridization and subsequent scanning. The technique platform was optimized and evaluated by using reference samples and artificial samples, which can specifically detect down to 3 copies of single or mixed plasmid templates. Due to its universality, multiplexing, specificity and sensitivity, this method can be recommended for simultaneously detecting a large number of different target types in related fields.
建立了一种基于多重反转录-连接酶检测反应-聚合酶链反应(MRLP)的通用微阵列,用于同时检测病原体,以马铃薯病毒为模型。该方法集成了 LDR 的多重性和特异性、通用引物的 PCR 扩增的敏感性,这需要为每个病毒设计上游和下游 LDR 探针,随后进行 Zip-code 微阵列的多重和特异性识别。每个 MRLP 片段都携带一个独特的序列(互补 Zip-code 序列,cZip-code),通过寻址微阵列上的位置来识别病毒,该位置已标记 Zip-code 序列。因此,这种 Zip-code 微阵列和通用引物是“通用的”,与特定的分子分析物无关。使用该技术,十个马铃薯病毒的靶 RNA 在单个反应中通过随机引物进行反转录,然后作为模板进行 LDR 和不对称标记 PCR,最后通过微阵列杂交和随后的扫描分析 MRLP 扩增子。该技术平台通过使用参考样本和人工样本进行了优化和评估,可以特异性检测到低至 3 个拷贝的单或混合质粒模板。由于其通用性、多重性、特异性和敏感性,该方法可推荐用于相关领域中同时检测大量不同的目标类型。