Microarray Multiplex Assay for the Simultaneous Detection and Discrimination of Influenza A and Influenza B Viruses

In this study, we present a microarray approach for the typing of influenza A and B viruses, and the subtyping of H1 and H3 subtypes. We designed four pairs of specific multiplex RT-PCR primers and eight specific oligonucleotide probes and prepared microarrays to identify the specific subtype of influenza virus. Through amplification and fluorescent marking of the multiplex RT-PCR products on the M gene of influenza A and B viruses and the HA gene of subtypes H1 and H3, the PCR products were hybridized with the microarray, and the results were analyzed using a microarray scanner. The results demonstrate that the chip developed by our research institute can detect influenza A and B viruses specifically and identify the subtypes H1 and H3 at a minimum concentration of 1 × 10² copies/μL of viral RNA. We tested 35 clinical samples and our results were identical to other fluorescent methods. The microarray approach developed in this study provides a reliable method for the monitoring and testing of seasonal influenza.     

寡核苷酸芯片在微生物检测中的应用

近几年来发展起来的基因组研究技术———基因芯片技术为微生物检测提供了一种强有力的手段。目前国内外已广泛地开展了利用寡核苷酸芯片对多种微生物 (主要是病毒和细菌 ,少量有真菌 )进行相关检测的研究 ,并在对微生物病原体检测、种类鉴定、功能基因检测、基因分型、突变检测、基因组监测等方面获得了成功。由于寡核苷酸探针具有可根据研究需要任意设计、特异性高等特点 ,寡核苷酸芯片在微生物检测中有着巨大的应用价值 ,具有广阔的应用前景。     

Detection of Cancer with Serum miRNAs on an Oligonucleotide Microarray

Micro RNAs (miRNAs) are a class of small, non-coding RNA species that play critical roles throughout cellular development and regulation. miRNA expression patterns taken from various tissue types often point to the cellular lineage of an individual tissue type, thereby being a more invariant hallmark of tissue type. Recent work has shown that these miRNA expression patterns can be used to classify tumor cells, and that this classification can be more accurate than the classification achieved by using messenger RNA gene expression patterns. One aspect of miRNA biogenesis that makes them particularly attractive as a biomarker is the fact that they are maintained in a protected state in serum and plasma, thus allowing the detection of miRNA expression patterns directly from serum. This study is focused on the evaluation of miRNA expression patterns in human serum for five types of human cancer, prostate, colon, ovarian, breast and lung, using a pan-human microRNA, high density microarray. This microarray platform enables the simultaneous analysis of all human microRNAs by either fluorescent or electrochemical signals, and can be easily redesigned to include newly identified miRNAs. We show that sufficient miRNAs are present in one milliliter of serum to detect miRNA expression patterns, without the need for amplification techniques. In addition, we are able to use these expression patterns to correctly discriminate between normal and cancer patient samples.     

应用专一性寡核苷酸微阵列可靠地检测结核分枝杆菌利福平耐药性

DNA微阵列代表聚合酶链反应产物诊断测序的发展方向 .根据结核分枝杆菌rpoB基因利福平抗药性决定区域内点突变及其它重排的特征 .研制一种快速地鉴定结核分枝杆菌利福平耐药菌株的中等密度微阵列方法 .利福平抗药性通过使荧光标记扩增遗传物质与微阵列杂交测定 .检测5 3株利福平耐药结核分枝杆菌和 15株利福平敏感结核分枝杆菌 .微阵列方法的检测结果与药物敏感性试验和DNA测序结果完全一致 .临床标本PCR扩增后仅 1 5h可检出利福平耐药临床分离株 .表明寡核苷酸微阵列是高效的、专一性的方法 ,可作为检测利福平抗药性的快速方法以弥补传统培养方法的不足     

人乳头瘤病毒芯片寡核苷酸探针的研究

高危型人乳头瘤病毒（Human papillomavims,HPV）是宫颈癌的主要致病因子。利用Arraydesigner2．0和BLAST等生物学软件对10种型别的人乳头瘤病毒全基因组序列进行分析,设计高特异性、熔解温度（Tm）和GC含量相近的60mer HPV型特异性寡核苷酸探针,用于HPV检测芯片的制备,并对其中四型最常见HPV病毒（HPV6,11,16,18）探针的有效性进行初步验证,结果表明设计所得的探针型特异性好,可以应用于HPV的检测与分型。     

HPV病毒检测分型芯片的研制和优化

研制和优化寡核苷酸芯片以初步实现对多种常见HPV(Human papillomavirus)病毒的分型检测.应用生物学软件对四型常见HPV病毒(6、11、16、18型)的全基因组序列进行分析,设计具有型特异性、熔解温度(Tm)相近的～60 mer寡核苷酸探针,对玻片片基进行优化处理后,点样制备成寡核苷酸基因芯片.将含HPV全长基因序列的质粒作为阳性标准品,利用梯度限制性荧光标记技术对其进行荧光标记,标记好的样品与芯片杂交.结果显示HPV样品与相应的型特异性探针杂交有明显的荧光信号,而与阴性对照探针和空白对照探针没有杂交信号.通过对芯片片基处理和样品荧光标记方法的优化,可以提高芯片检测的杂交特异性和荧光信号强度.     

Multi-Gene Detection and Identification of Mosquito-Borne RNA Viruses Using an Oligonucleotide Microarray

Background

Arthropod-borne viruses are important emerging pathogens world-wide. Viruses transmitted by mosquitoes, such as dengue, yellow fever, and Japanese encephalitis viruses, infect hundreds of millions of people and animals each year. Global surveillance of these viruses in mosquito vectors using molecular based assays is critical for prevention and control of the associated diseases. Here, we report an oligonucleotide DNA microarray design, termed ArboChip5.1, for multi-gene detection and identification of mosquito-borne RNA viruses from the genera Flavivirus (family Flaviviridae), Alphavirus (Togaviridae), Orthobunyavirus (Bunyaviridae), and Phlebovirus (Bunyaviridae).

Methodology/Principal Findings

The assay utilizes targeted PCR amplification of three genes from each virus genus for electrochemical detection on a portable, field-tested microarray platform. Fifty-two viruses propagated in cell-culture were used to evaluate the specificity of the PCR primer sets and the ArboChip5.1 microarray capture probes. The microarray detected all of the tested viruses and differentiated between many closely related viruses such as members of the dengue, Japanese encephalitis, and Semliki Forest virus clades. Laboratory infected mosquitoes were used to simulate field samples and to determine the limits of detection. Additionally, we identified dengue virus type 3, Japanese encephalitis virus, Tembusu virus, Culex flavivirus, and a Quang Binh-like virus from mosquitoes collected in Thailand in 2011 and 2012.

Conclusions/Significance

We demonstrated that the described assay can be utilized in a comprehensive field surveillance program by the broad-range amplification and specific identification of arboviruses from infected mosquitoes. Furthermore, the microarray platform can be deployed in the field and viral RNA extraction to data analysis can occur in as little as 12 h. The information derived from the ArboChip5.1 microarray can help to establish public health priorities, detect disease outbreaks, and evaluate control programs.     

寡核苷酸芯片技术用于检测过氧化物酶体活化物激活受体基因多态性

 通过寡核苷酸芯片技术检测PPARα基因Leu162Val、Val227Ala多态性和PPARγ Pro12Ala的基因多态性,建立一种快速、简便、准确的方法,为研究非酒精性脂肪性肝病的发病机制、临床诊断和治疗提供依据.收集人体外周血标本,提取DNA进行PCR扩增,设计相应的探针和引物,制备检测芯片,PCR产物与芯片杂交后,扫描芯片并分析结果.PCR产物进行测序验证.寡核苷酸芯片技术检测PPARα基因Leu162Val、Val227Ala多态性和PPARγ Pro12Ala基因多态性结果与测序结果一致.寡核苷酸芯片技术检测非酒精性脂肪性肝病(NAFLD)密切相关的PPAR基因多态性快速、准确,值得临床推广和应用.     

小鼠细胞因子相关基因表达检测寡核苷酸芯片的制备及分析

生物芯片技术用于基因表达谱研究是近年来发展起来的一项新技术 ,该方法本质上是基于对一玻璃片或膜表面上固定的ｃＤＮＡ或寡核苷酸的分子杂交 ,这一新技术可同时测定成千上万个基因的作用方式 ,几周获得的信息用其它方法可能要几年才能得到 ,是以定量方式同时监测大量基因相对表达的强有力的新方法[1 ,2 ] 。国内外目前主要采用ｃＤＮＡ芯片进行基因表达的检测 ,芯片制备所用的ＤＮＡ探针一般为已知基因ｃＤＮＡ克隆的ＰＣＲ扩增产物或ＥＳＴ的扩增产物[3～ 8] 。对基因的表达检测来说 ,ｃＤＮＡ芯片技术是一条非常适用的检测方法 ,但在有…     

生物芯片检测细胞中microRNA的表达

目的：制备mieroRNA（miRNA）检测芯片,检测细胞中miRNA的表达。方法：将210个（206个miRNA,4个阳性对照）与已知人类和小鼠miRNA互补的序列作为探针,点干玻片上制备寡核苷酸芯片;提取肿瘤细胞（HeLa,MCF-7,A549,HT-29,ES-2,K562）的miRNA,用荧光染料Cy3标记,并与制备好的芯片杂交;用Sean Array^TM Express1．0扫描仪扫描荧光信号。采用SeanArray3．0和Cluster3．0软件分析处理扫描结果,并用RT—PCR方法对芯片检测结果进行验证。结果：建立了利用生物芯片检测miRNA表达的方法;发现不同细胞miRNA表达谱各异。结论：应用生物芯片技术检测细胞中miRNA的表达是可行的,可为研究miRNA的生理功能和作用机制奠定基础。     

ampliPHOX Colorimetric Detection on a DNA Microarray for Influenza

DNA microarrays have emerged as a powerful tool for pathogen detection.^1-5 For instance, many examples of the ability to type and subtype influenza virus have been demonstrated.^6-11 The identification and subtyping of influenza on DNA microarrays has applications in both public health and the clinic for early detection, rapid intervention, and minimizing the impact of an influenza pandemic. Traditional fluorescence is currently the most commonly used microarray detection method. However, as microarray technology progresses towards clinical use,¹ replacing expensive instrumentation with low cost detection technology exhibiting similar performance characteristics to fluorescence will make microarray assays more attractive and cost-effective.The ampliPHOX colorimetric detection technology is intended for research applications, and has a limit of detection within one order of magnitude of traditional fluorescence¹¹, with a main advantage being an approximate ten-fold lower instrument cost compared to the confocal microarray scanners required for fluorescence microarray detection. Another advantage is the compact size of the instrument which allows for portability and flexibility, unlike traditional fluorescence instruments. Because the polymerization technology is not as inherently linear as fluorescence detection, however, it is best suited for lower density microarray applications in which a yes/no answer for the presence of a certain sequence is desired, such as for pathogen detection arrays. Currently the maximum spot density compatible with ampliPHOX detection is ˜1800 spots/array. Because of the spot density limitations, higher density microarrays are not suitable for ampliPHOX detection.Here, we present ampliPHOX colorimetric detection technology as a method of signal amplification on a low density microarray developed for the detection and characterization of influenza viruses (FluChip). Although this protocol uses the FluChip (a DNA microarray) as one specific application of ampliPHOX detection, any microarray incorporating biotinylated target can be labeled and detected in a similar manner. The microarray design and biotinylation of the target to be captured are the responsibility of the user. Once the biotinylated target has been captured on the array, ampliPHOX detection can be performed by first tagging the array with a streptavidin-label conjugate (ampliTAG). Upon light exposure using the ampliPHOX Reader instrument, polymerization of a monomer solution (ampliPHY) occurs only in regions containing ampliTAG-labeled targets. The polymer formed can be subsequently stained with a non-toxic solution to improve visual contrast, followed by imaging and analysis using a simple software package (ampliVIEW). The entire FluChip assay from un-extracted sample to result can be performed in about 6 hours, and the ampliPHOX detection steps described above can be completed in about 30 min. Download video file.^{(61M, mov)}     

Oligonucleotide Microarray with RD-PCR Labeling Technique for Detection and Typing of Human Papillomavirus

Currently, screening for high-risk human papillomavirus (HPV) infection remains an important health concern throughout the world, because of the close association between certain types of HPV and cervical cancer. In this study, we explore the possibility of using ∼70mer oligonucleotide microarray for detection and genotyping of HPV. The ∼70mer type-specific oligonucleotide probes of four different types HPV were designed by using biological software Arraydesigner 2.0, which analyzed the whole genome sequences of HPV and selected optimal probes. These probes were synthesized and printed onto the surface of glass slides in order to prepare a low-density microarray. HPV samples were labeled with fluorescence dyes Cy3 using a method of restriction display polymerase chain reaction (RD-PCR). HPV plasmid DNA was restricted with Sau3A I to produce multiple fragments that were ligated to adaptors subsequently and used as PCR template. PCR labeling was performed with the fluorescently labeled universal primer (Cy3-UP) whose sequence is designed according to the adaptor of the RD-PCR approaches. The labeled samples were hybridized with the oligonucleotide microarray. The scanning results showed that HPV DNA hybridized specifically with multiple spots correspondingly to show positive signals, whereas no signals were detected of all the negative and blank controls. These results demonstrated that ∼70mer oligonucleotide microarray can be applied to HPV detection and genotyping. The application of RD-PCR in the sample labeling can increase significantly the sensitivity of the assay and will be especially useful for the discriminate diagnosis of multiple pathogens.     

肿瘤相关基因表达检测寡核苷酸芯片的制备及其初步应用

为研制肿瘤相关寡核苷酸芯片,并实现其在抗肿瘤反义核酸“癌泰得”作用机理研究方面的初步应用,制备了包含近450种肿瘤相关基因特异寡核苷酸探针的寡核苷酸芯片,建立了相应的质控标准.“癌泰得”用脂质体转染HepG2肿瘤细胞,提取细胞总RNA反转录并荧光标记cDNA,用制备的寡核苷酸芯片检测肝癌细胞HepG2的肿瘤相关基因表达水平,用软件分析获得其差异基因表达谱.0.4 μmol/L的反义核酸“癌泰得”作用于HepG2细胞15 h后,MDNCF、DHS等基因mRNA表达下调,MUC2、MPP11、LAT、HRIF-B、JNK3A1等mRNA基因表达上调,初步检测到了“癌泰得”的抗肿瘤作用可能的相关基因,为进一步的分子作用机理的探讨奠定基础.结果表明,制备的肿瘤相关芯片敏感度高、特异性高、重复性均较好,可用于检测肿瘤相关基因的表达谱,为临床诊断和基础研究提供了技术平台.     

A New Oligonucleotide Microarray for Detection of Pathogenic and Non-Pathogenic Legionella spp.

Legionella pneumophila has been recognized as the major cause of legionellosis since the discovery of the deadly disease. Legionella spp. other than L. pneumophila were later found to be responsible to many non-pneumophila infections. The non-L. pneumophila infections are likely under-detected because of a lack of effective diagnosis. In this report, we have sequenced the 16S-23S rRNA gene internal transcribed spacer (ITS) of 10 Legionella species and subspecies, including L. anisa, L. bozemanii, L. dumoffii, L. fairfieldensis, L. gormanii, L. jordanis, L. maceachernii, L. micdadei, L. pneumophila subspp. fraseri and L. pneumophila subspp. pasculleii, and developed a rapid oligonucleotide microarray detection technique accordingly to identify 12 most common Legionella spp., which consist of 11 pathogenic species of L. anisa, L. bozemanii, L. dumoffii, L. gormanii, L. jordanis, L. longbeachae, L. maceachernii, L. micdadei, and L. pneumophila (including subspp. pneumophila, subspp. fraseri, and subspp. pasculleii) and one non-pathogenic species, L. fairfieldensis. Twenty-nine probes that reproducibly detected multiple Legionella species with high specificity were included in the array. A total of 52 strains, including 30 target pathogens and 22 non-target bacteria, were used to verify the oligonucleotide microarray assay. The sensitivity of the detection was at 1.0 ng with genomic DNA or 13 CFU/100 mL with Legionella cultures. The microarray detected seven samples of air conditioner-condensed water with 100% accuracy, validating the technique as a promising method for applications in basic microbiology, clinical diagnosis, food safety, and epidemiological surveillance. The phylogenetic study based on the ITS has also revealed that the non-pathogenic L. fairfieldensis is the closest to L. pneumophila than the nine other pathogenic Legionella spp.     

用基因芯片检测DPYD等位基因在受试人群中的发生频率

二氢嘧啶脱氢酶基因(DPYD基因)所编码的二氢嘧啶脱氢酶(DPD酶)是氟化嘧啶类抗肿瘤药物代谢的主要限速酶,其活性存在显著的个体差异,并因此影响药物的疗效和毒副作用.大部分编码低/无活性酶的突变型等位基因是由于基因中的单核苷酸多态性(single nucleotide polymorphism,SNP)造成的,检测这些SNPs是预测患者对药物的反应和实现个体化给药方案的基础.制备并优化了用于检测DPYD基因中6个已知SNPs所编码的等位基因(DPYD*2,*3,*4,*5,*9,*12)的基因芯片,建立了该芯片的基因分型标准.并利用该芯片检测了肿瘤患者(112例)、肾病患者(83例)和健康者(45例)中DPYD突变型等位基因的发生频率.在受试人群中,突变型等位基因DPYD*5和DPYD*9平均发生率分别为32.08%和11.25%,未发现DPYD*2,*3,*4,*12突变型等位基因.而且以上单碱基突变的发生率在肿瘤患者、肾病患者和健康者间以及男性、女性肿瘤患者间无显著性差异,表明其与疾病的发生或性别无显著性关联.对20例标本的基因分型结果采用直接测序法进行验证,19例基因芯片分型结果与直接测序法结果相一致.DPYD*5、DPYD*9突变型等位基因在受试人群中具有较高的发生率.利用基因芯片能够对其实现快速准确的检测.     

AIV血凝素亚型同步检测基因芯片技术研究

对流感病毒14个血凝素亚型的基因芯片检测技术进行了初步研究。通过RT-PCR克隆禽流感病毒血凝素基因片段,获得重组质粒。从重组质粒扩增大约500bp的DNA片段,浓缩后点到氨基化玻璃载体上,制成芯片。待检病毒样品用TRIzolLS提取RNA,反转录过程中用Cy5标记样品cDNAs。将标记样品与芯片杂交,扫描芯片上待检样品与芯片上捕捉探针的结合位点,杂交信号与预期设想一致。结果显示,DNA芯片技术可以提供一种有效的AIV血凝素亚型鉴别诊断方法。     

苏云金杆菌DNA芯片Oligo探针设计

迅速增长的分子生物学数据为总结新的生物学信息,进行生物研究尤其是分子生物学研究,提供了丰富的资料,利用苏云金杆菌的基因信息和一些生物学软件,设计特异性高、长度一致、熔解温度相近的Oligo探针,为后期打印成DNA芯片,进行苏云金杆菌鉴定打下基础。     

Fiber-Optic Microarray for Simultaneous Detection of Multiple Harmful Algal Bloom Species

Harmful algal blooms (HABs) are a serious threat to coastal resources, causing a variety of impacts on public health, regional economies, and ecosystems. Plankton analysis is a valuable component of many HAB monitoring and research programs, but the diversity of plankton poses a problem in discriminating toxic from nontoxic species using conventional detection methods. Here we describe a sensitive and specific sandwich hybridization assay that combines fiber-optic microarrays with oligonucleotide probes to detect and enumerate the HAB species Alexandrium fundyense, Alexandrium ostenfeldii, and Pseudo-nitzschia australis. Microarrays were prepared by loading oligonucleotide probe-coupled microspheres (diameter, 3 μm) onto the distal ends of chemically etched imaging fiber bundles. Hybridization of target rRNA from HAB cells to immobilized probes on the microspheres was visualized using Cy3-labeled secondary probes in a sandwich-type assay format. We applied these microarrays to the detection and enumeration of HAB cells in both cultured and field samples. Our study demonstrated a detection limit of approximately 5 cells for all three target organisms within 45 min, without a separate amplification step, in both sample types. We also developed a multiplexed microarray to detect the three HAB species simultaneously, which successfully detected the target organisms, alone and in combination, without cross-reactivity. Our study suggests that fiber-optic microarrays can be used for rapid and sensitive detection and potential enumeration of HAB species in the environment.     

用基因芯片检测DPYD等位基因在受试人群中的发生频率

二氢嘧啶脱氢酶基因（DPYD基因）所编码的二氢嘧啶脱氢酶（DPD酶）是氟化嘧啶类抗肿瘤药物代谢的主要限速酶,其活性存在显著的个体差异,并因此影响药物的疗效和毒副作用.大部分编码低/无活性酶的突变型等位基因是由于基因中的单核苷酸多态性（single nucleotide polymorphism,SNP）造成的,检测这些SNPs是预测患者对药物的反应和实现个体化给药方案的基础.制备并优化了用于检测DPYD基因中6个已知SNPs所编码的等位基因（DPYD^*2,^*3,^*4,^*5,^*9,^*12）的基因芯片,建立了该芯片的基因分型标准.并利用该芯片检测了肿瘤患者（112例）、肾病患者（83例）和健康者（45例）中DPYD突变型等位基因的发生频率.在受试人群中,突变型等位基因DPYD^*5和DPYD^*9平均发生率分别为32.08%和11.25%,未发现DPYD^*2,^*3,^*4,^*12突变型等位基因.而且以上单碱基突变的发生率在肿瘤患者、肾病患者和健康者间以及男性、女性肿瘤患者间无显著性差异,表明其与疾病的发生或性别无显著性关联.对20例标本的基因分型结果采用直接测序法进行验证,19例基因芯片分型结果与直接测序法结果相一致.DPYD^*5、DPYD^*9突变型等位基因在受试人群中具有较高的发生率.利用基因芯片能够对其实现快速准确的检测.