Development of DNA microarray for pathogen detection

Pathogens pose a significant threat to humans, animals, and plants. Consequently, a considerable effort has been devoted to developing rapid, convenient, and accurate assays for the detection of these unfavorable organisms. Recently, DNA-microarray based technology is receiving much attention as a powerful tool for pathogen detection. After the target gene is first selected for the unique identification of microorganisms, species-specific probes are designed through bioinformatic analysis of the sequences, which uses the information present in the databases. DNA samples, which were obtained from reference and/or clinical isolates, are properly processed and hybridized with species-specific probes that are immobilized on the surface of the microarray for fluorescent detection. In this study, we review the methods and strategies for the development of DNA microarray for pathogen detection, with the focus on probe design.     

Development and validation of a diagnostic microbial microarray for methanotrophs

The potential of DNA microarray technology in high-throughput detection of bacteria and quantitative assessment of their community structures is widely acknowledged but has not been fully realised yet. A generally applicable set of techniques, based on readily available technologies and materials, was developed for the design, production and application of diagnostic microbial microarrays. A microarray targeting the particulate methane monooxygenase (pmoA) gene was developed for the detection and quantification of methanotrophs and functionally related bacteria. A microarray consisting of a set of 59 probes that covers the whole known diversity of these bacteria was validated with a representative set of extant strains and environmental clones. The potential of the pmoA microarray was tested with environmental samples. The results were in good agreement with those of clone library sequence analyses. The approach can currently detect less dominant bacteria down to 5% of the total community targeted. Initial tests assessing the quantification potential of this system with artificial PCR mixtures showed very good correlation with the expected results with standard deviations in the range of 0.4-17.2%. Quantification of environmental samples with this method requires the design of a reference mixture consisting of very close relatives of the strains within the sample and is currently limited by biases inherent in environmental DNA extraction and universal PCR amplification.     

Development and validation of an arthropod maceration protocol for zoonotic pathogen detection in mosquitoes and fleas

Arthropod‐borne diseases remain a pressing international public health concern. While progress has been made in the rapid detection of arthropod‐borne pathogens via quantitative real‐time (qPCR), or even hand‐held detection devices, a simple and robust maceration and nucleic acid extraction method is necessary to implement biosurveillance capabilities. In this study, a comparison of maceration techniques using five types of beads followed by nucleic acid extraction and detection were tested using two morphologically disparate arthropods, the Aedes aegypti mosquito and Xenopsylla spp. flea, to detect the zoonotic diseases dengue virus serotype‐1 and Yersinia pestis. Post‐maceration nucleic acid extraction was carried out using the 1‐2‐3 Platinum‐Path‐Sample‐Purification (PPSP) kit followed by qPCR detection using the Joint Biological Agent Identification and Diagnostic System (JBAIDS). We found that the 5mm stainless steel beads added to the beads provided in the PPSP kit were successful in macerating the exoskeleton for both Ae. aegypti and Xenopsylla spp. Replicates in the maceration/extraction/detection protocol were increased in a stepwise fashion until a final 128 replicates were obtained. For dengue virus detection there was a 99% positivity rate and for Y. pestis detection there was a 95% positive detection rate. In the examination of both pathogens, there were no significant differences between qPCR instruments, days ran, time of day ran, or operators.     

Review of microarray studies for host-intracellular pathogen interactions

Obligate intracellular bacteria are privileged soldiers on the battlefield that represent host-pathogen interactions. Microarrays are a powerful technology that can increase our knowledge about how bacteria respond to and interact with their hosts. This review summarizes the limitations inherent to host-pathogen interaction studies and essential strategies to improve microarray investigations of intracellular bacteria. We have compiled the comparative genomic and gene expression analyses of obligate intracellular bacteria currently available from microarrays. In this review we explore ways in which microarrays can be used to identify polymorphisms in different obligate intracellular bacteria such as Coxiella burnetii, Chlamydia trachomatis, Ehrlichia chaffeensis, Rickettsia prowazekii and Tropheryma whipplei. These microarray studies reveal that, while genomic content is highly conserved in obligate intracellular bacteria, genetic polymorphisms can potentially occur to increase bacterial pathogenesis. Additionally, changes in the gene expression of C. trachomatis throughout its life cycle, as well as changes in the gene expression profile of the pathogens R. prowazekii, Rickettsia rickettsii, Rickettsia typhi, T. whipplei and C. trachomatis following environmental changes, are discussed. Finally, an in vivo model of Rickettsia conorii within the skin is discussed. The gene expression analyses highlight the capacity of obligate intracellular bacteria to adapt to environmental changes and potentially to thwart the host response.     

Optimization of evanescent-field fluorescence-assisted lectin microarray for high-sensitivity detection of monovalent oligosaccharides and glycoproteins

Lectin microarray is an emerging technique, which will accelerate glycan profiling and discovery of glycan-related biomarkers. One of the most important stages in realizing the potential of the technique is to achieve sufficiently high sensitivity to detect even the low concentrations of some target glycoproteins which occur in sera or tissues. Previously, we developed a lectin microarray based on an evanescent-field fluorescence-assisted detection principle that allows rapid profiling of glycoproteins. Here, we report optimization of procedures for lectin spotting and immobilization to improve the sensitivity and reproducibility of the lectin microarray. The improved microarray allows high-sensitivity detection of even monovalent oligosaccharides that generally have a low affinity with lectins (K(d)>10(-6) M). The LOD observed for RCA120, a representative plant lectin, with asialofetuin, and an asialo-biantennary N-glycan probe were determined to be 100 pg/mL and 100 pM, respectively. With the improved lectin microarray system, closely related structural isomers, i.e., Le(a) and Le(x), were clearly differentiated by the difference in signal patterns on relevant multiple lectins, even though specific lectins to detect these glycan structures were not available. The result proved a previously proposed concept of lectin-based glycan profiling.     

问号钩端螺旋体基因组DNA芯片的研制

目的 研制并初步评估问号钩端螺旋体(简称钩体)赖型赖株的基因组DNA芯片。方法 利用Primegens引物设计软件筛选出问号钩体赖型赖株全基因组中的特异性基因进行引物设计。对成功设计出相应引物的3 290个基因用聚合酶链反应方法进行扩增,以纯化后的产物点样制备芯片。并用双色荧光杂交策略对芯片质量进行了初步平估。结果 共获得3 290个基因产物用于点样。参考株自身杂交实验结果表明:该芯片有较高的点一致性、信噪比和较低的假阳性率。结论 成功制备了包含问号钩体赖型赖株3 290个目的基因的基因组DNA芯片,并可用于基于该芯片的问号钩体比较基因组学的研究。     

Development and validation of a prototype 16S rRNA-based taxonomic microarray for Alphaproteobacteria

The microarray approach has been proposed for high throughput analysis of the microbial community by providing snapshots of the microbial diversity under different environmental conditions. For this purpose, a prototype of a 16S rRNA-based taxonomic microarray was developed and evaluated for assessing bacterial community diversity. The prototype microarray is composed of 122 probes that target bacteria at various taxonomic levels from phyla to species (mostly Alphaproteobacteria). The prototype microarray was first validated using bacteria in pure culture. Differences in the sequences of probes and potential target DNAs were quantified as weighted mismatches (WMM) in order to evaluate hybridization reliability. As a general feature, probes having a WMM > 2 with target DNA displayed only 2.8% false positives. The prototype microarray was subsequently tested with an environmental sample, which consisted of an Agrobacterium-related polymerase chain reaction amplicon from a maize rhizosphere bacterial community. Microarray results were compared to results obtained by cloning-sequencing with the same DNA. Microarray analysis enabled the detection of all 16S rRNA gene sequences found by cloning-sequencing. Sequences representing only 1.7% of the clone library were detected. In conclusion, this prototype 16S rRNA-based taxonomic microarray appears to be a promising tool for the analysis of Alphaproteobacteria in complex ecosystems.     

Construction and validation of a prototype microarray for efficient and high-throughput genotyping of angiosperms

Until recently, the identification of plants relied on conventional techniques, such as morphological, anatomical and chemical profiling, that are often inefficient or unfeasible in certain situations. Extensive literature exists describing the use of polymerase chain reaction (PCR) DNA-based identification techniques, which offer a reliable platform, but their broad application is often limited by a low throughput. However, hybridization-based microarray technology represents a rapid and high-throughput tool for genotype identification at a molecular level. Using an innovative technique, a 'Subtracted Diversity Array' (SDA) of 376 features was constructed from a pooled genomic DNA library of 49 angiosperm species, from which pooled non-angiosperm genomic DNA was subtracted. Although not the first use of a subtraction technique for genotyping, the SDA method was superior in accuracy, sensitivity and efficiency, and showed high-throughput capacity and broad application. The SDA technique was validated for potential genotyping use, and the results indicated a successful subtraction of non-angiosperm DNA. Statistical analysis of the polymorphic features from the pilot study enabled the establishment of accurate phylogenetic relationships, confirming the potential use of the SDA technique for genotyping. Further, the technique substantially enriched the presence of polymorphic sequences; 68% were polymorphic when using the array to differentiate six angiosperm clades (Asterids, Rosids, Caryophyllids, Ranunculids, Monocots and Eumagnoliids). The 'proof of concept' experiments demonstrate the potential of establishing a highly informative, reliable and high-throughput microarray-based technique for novel application to sequence independent genotyping of major angiosperm clades.     

乙型肝炎病毒e抗原定量检测的性能验证和临床应用探索

乙型肝炎病毒e抗原(hepatitis B e antigen, HBeAg)的定量检测对乙型肝炎临床诊疗具有一定的重要性,但其定量检测还未成为常规检验项目。本研究对HBeAg定量检测系统进行性能验证,比较HBeAg定量和定性检测的相关性和一致性,分析HBeAg定量结果和乙型肝炎病毒DNA(hepatitis B virus DNA, HBV DNA)的关系,为HBeAg定量检测在临床诊疗的应用提供依据。通过收集710例2019年3月至5月于复旦大学附属华山医院就诊的慢性乙型肝炎患者血清样本,参照美国临床实验室标准化协会(The Clinical & Laboratory Standards Institute, CLSI)相关文件的要求,对雅培ARCHITECTi4000SR全自动免疫分析仪检测的HBeAg定量试剂的精密度、分析灵敏度、线性范围/可报告范围、携带污染率进行验证和评价;采用化学发光微粒子免疫检测技术(chemiluminescence microparticle immuno assay, CMIA)对618例患者进行HBeAg定性和定量检测;采用荧光定量PCR对慢性乙型肝炎患者进行HBV DNA检测,比较HBV DNA和HBeAg定量结果的相关性。本研究证实HBeAg定量试剂检测性能验证结果良好;HBeAg定量和定性检测相关性良好;126例同时有HBeAg定量检测和HBV DNA定量检测的结果显示,两种方法呈正相关且一致性良好。HBeAg定量检测可用于常规实验室检测来辅助HBV感染的临床诊疗。     

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas

Background  

Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in the genome and that their coordinated expression depends on their position on chromosomes has highlighted the need for mathematical approaches to exploit this dependency for the analysis of expression data-sets.     

Development and validation of an oligonucleotide microarray for detection of multiple virulence and antimicrobial resistance genes in Escherichia coli

An oligonucleotide microarray detecting 189 Escherichia coli virulence genes or markers and 30 antimicrobial resistance genes was designed and validated using DNA from known reference strains. This microarray was confirmed to be a powerful diagnostic tool for monitoring emerging E. coli pathotypes and antimicrobial resistance, as well as for environmental, epidemiological, and phylogenetic studies including the evaluation of genome plasticity.     

ELISA microarray technology as a high-throughput system for cancer biomarker validation

A large gap currently exists between the ability to discover potential biomarkers and the ability to assess the real value of these proteins for cancer screening. One major challenge in biomarker validation is the inherent variability in biomarker levels. This variability stems from the diversity across the human population and the considerable molecular heterogeneity between individual tumors, even those that originate from a single tissue. An additional challenge with cancer screening is that most cancers are rare in the general population, meaning that assay specificity must be very high. Otherwise, the number of false positives will be much greater than the number of true positives. Due to these challenges associated with biomarker validation, it is necessary to analyze thousands of samples in order to obtain a clear idea of the utility of a screening assay. Enzyme-linked immunosorbent assay (ELISA) microarray technology can simultaneously quantify levels of multiple proteins and, thus, has the potential to accelerate validation of protein biomarkers for clinical use. This review will discuss current ELISA microarray technology and potential advances that could help to achieve the reproducibility and throughput that are required to evaluate cancer biomarkers.     

A methodology for global validation of microarray experiments

Background  

DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray studies are conducted, many of which with data publicly available for mining by other investigators. Under most circumstances, validation of differential expression of genes is performed on a gene to gene basis. Thus, it is not possible to generalize validation results to the remaining majority of non-validated genes or to evaluate the overall quality of these studies.     

Development and clinical validation of a real-time PCR using a uni-molecular Scorpion-based probe for the detection of Mycoplasma pneumoniae in clinical isolates

Mycoplasma pneumoniae (Mp) is a frequent cause of Community Acquired Pneumoniae (CAP). The etiological role of Mp is usually suspected using serological assays, but the detection of specific anti-Mp antibodies becomes possible only 1-2 weeks after the primary infection. On the contrary, direct diagnosis using real-time PCR allows an efficient detection of Mp DNA in all the phases of the infection and particularly during early serum negative periods. In this study, we developed a novel Scorpion-probe real-time PCR-based assay. The probe's uni-molecular structure offers thermodynamic advantages owing to its kinetic reaction, providing faster performances compared to a TaqMan-based assay, but maintaining the same sensitivity and specificity. The Scorpion-based assay was employed on 388 clinical samples and compared with conventional qualitative PCR and serological tests. It was found more sensitive because it also allowed the detection of Mp in specimens found negative using classic qualitative PCR, but displaying seropositivity or a later seroconversion.     

基因芯片接触式点样条件的优化

样品的点制是基因芯片制备中的关键一步,影响因素众多,如点样液和液面高度、基片的选择、控制湿度、点样针运行速度、与基片接触时间等。对玻片点制各条件进行了摸索和优化,并对膜芯片的点制参数进行筛选,以期得到规整和重现性好的样品点。     

PathogenMip assay: a multiplex pathogen detection assay

The Molecular Inversion Probe (MIP) assay has been previously applied to a large-scale human SNP detection. Here we describe the PathogenMip Assay, a complete protocol for probe production and applied approaches to pathogen detection. We have demonstrated the utility of this assay with an initial set of 24 probes targeting the most clinically relevant HPV genotypes associated with cervical cancer progression. Probe construction was based on a novel, cost-effective, ligase-based protocol. The assay was validated by performing pyrosequencing and Microarray chip detection in parallel experiments. HPV plasmids were used to validate sensitivity and selectivity of the assay. In addition, 20 genomic DNA extracts from primary tumors were genotyped with the PathogenMip Assay results and were in 100% agreement with conventional sequencing using an L1-based HPV genotyping protocol. The PathogenMip Assay is a widely accessible protocol for producing and using highly discriminating probes, with experimentally validated results in pathogen genotyping, which could potentially be applied to the detection and characterization of any microbe.