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首页> 外文期刊>Journal of Clinical Microbiology >Molecular Detection and Identification of Influenza Viruses by Oligonucleotide Microarray Hybridization
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Molecular Detection and Identification of Influenza Viruses by Oligonucleotide Microarray Hybridization

机译:寡核苷酸芯片杂交技术检测和鉴定流感病毒

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Microarrays of virus-specific oligonucleotides may provide a method of screening samples for the presence or absence of a large variety of viruses simultaneously. Influenza viruses are ideal for evaluating such microarrays because of their genetic and host diversity, and the availability of an extensive sequence database. A collection of 476 influenza virus-specific oligonucleotides was spotted onto glass slides as probes. Viral RNAs were reverse transcribed and amplified by PCR, and the products were labeled with cyanine dyes. The presence of viruses and their identities were determined by hybridization. The fluorescence intensities of oligonucleotide spots were highly reproducible within each slide and satisfactorily proportional between experiments. However, the intensities of probe spots completely complementary to target sequences varied from background to saturation. The variations did not correlate with base composition, nucleotide sequence, or internal secondary structures. Therefore, thresholds for determining whether hybridization to a spot should be judged as positive were assigned individually. Considering only positive spots from probes predicted to be monospecific for influenza virus species, subtype, host source, or gene segment, this method made correct identifications at the species, hemagglutinin subtype, and gene segment levels. Monospecific neuraminidase (NA) subtype probes were insufficiently diverse to allow confident NA subtype assignment. Incorporating positive spots from polyspecific probes into the identification scheme gave similar results. Overall, the results demonstrate the potential of microarray-based oligonucleotide hybridization for multiple virus detection.
机译:病毒特异性寡核苷酸的微阵列可提供一种同时筛选样本中是否存在多种病毒的方法。流感病毒的遗传和宿主多样性以及广泛的序列数据库的可用性,是评估此类微阵列的理想选择。将476种流感病毒特异性寡核苷酸的集合点到载玻片上作为探针。病毒RNA被逆转录并通过PCR扩增,产物用花青染料标记。通过杂交确定病毒的存在及其身份。寡核苷酸斑点的荧光强度在每个载玻片内可高度重现,并且在实验之间令人满意地成比例。然而,与靶序列完全互补的探针斑点的强度从背景到饱和变化。变异与碱基组成,核苷酸序列或内部二级结构不相关。因此,分别确定用于确定与斑点杂交是否应判定为阳性的阈值。考虑到仅来自预测为对流感病毒物种,亚型,宿主来源或基因片段具有单特异性的探针的阳性斑点,该方法在物种,血凝素亚型和基因片段水平上进行了正确鉴定。单特异性神经氨酸酶(NA)亚型探针的多样性不足,无法确定NA亚型的归属。将来自多特异性探针的阳性斑点掺入鉴定方案给出了相似的结果。总体而言,结果证明了基于微阵列的寡核苷酸杂交技术在多种病毒检测中的潜力。

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