cDNA芯片表面核酸固定化的优化

cDNA芯片技术表面核酸固定化影响因素众多,其中涉及选择载体、固定于玻片的DNA片段浓度、玻片DNA片段的固定方法、玻片预处理方法、DNA片段的变性、溶解DNA片段的点样液等等.针对这些因素进行了优化筛选实验,以便于提高cDNA芯片技术检测基因表达的效率.     

Optimization of single-base-pair mismatch discrimination in oligonucleotide microarrays

The discrimination between perfect-match and single-base-pair-mismatched nucleic acid duplexes was investigated by using oligonucleotide DNA microarrays and nonequilibrium dissociation rates (melting profiles). DNA and RNA versions of two synthetic targets corresponding to the 16S rRNA sequences of Staphylococcus epidermidis (38 nucleotides) and Nitrosomonas eutropha (39 nucleotides) were hybridized to perfect-match probes (18-mer and 19-mer) and to a set of probes having all possible single-base-pair mismatches. The melting profiles of all probe-target duplexes were determined in parallel by using an imposed temperature step gradient. We derived an optimum wash temperature for each probe and target by using a simple formula to calculate a discrimination index for each temperature of the step gradient. This optimum corresponded to the output of an independent analysis using a customized neural network program. These results together provide an experimental and analytical framework for optimizing mismatch discrimination among all probes on a DNA microarray.     

Optimization of Single-Base-Pair Mismatch Discrimination in Oligonucleotide Microarrays

The discrimination between perfect-match and single-base-pair-mismatched nucleic acid duplexes was investigated by using oligonucleotide DNA microarrays and nonequilibrium dissociation rates (melting profiles). DNA and RNA versions of two synthetic targets corresponding to the 16S rRNA sequences of Staphylococcus epidermidis (38 nucleotides) and Nitrosomonas eutropha (39 nucleotides) were hybridized to perfect-match probes (18-mer and 19-mer) and to a set of probes having all possible single-base-pair mismatches. The melting profiles of all probe-target duplexes were determined in parallel by using an imposed temperature step gradient. We derived an optimum wash temperature for each probe and target by using a simple formula to calculate a discrimination index for each temperature of the step gradient. This optimum corresponded to the output of an independent analysis using a customized neural network program. These results together provide an experimental and analytical framework for optimizing mismatch discrimination among all probes on a DNA microarray.     

A DNA microarray platform based on direct detection of rRNA for characterization of freshwater sediment-related prokaryotic communities

A DNA microarray platform for the characterization of bacterial communities in freshwater sediments based on a heterogeneous set of 70 16S rRNA-targeted oligonucleotide probes and directly labeled environmental RNA was developed and evaluated. Application of a simple protocol for the efficient background blocking of aminosilane-coated slides resulted in an improved signal-to-noise ratio and a detection limit of 10 ng for particular 16S rRNA targets. An initial specificity test of the system using RNA from pure cultures of different phylogenetic lineages showed a fraction of false-positive signals of approximately 5% after protocol optimization and a marginal loss of correct positive signals. Subsequent microarray analysis of sediment-related community RNA from four different German river sites suggested low diversity for the groups targeted but indicated distinct differences in community composition. The results were supported by parallel fluorescence in situ hybridization in combination with sensitive catalyzed reporter deposition (CARD-FISH). In comparisons of the data of different sampling sites, specific detection of populations with relative cellular abundances down to 2% as well as a correlation of microarray signal intensities and population size is suggested. Our results demonstrate that DNA microarray technology allows for the fast and efficient precharacterization of complex bacterial communities by the use of standard single-cell hybridization probes and the direct detection of environmental rRNA, also in methodological challenging habitats such as heterogeneous lotic freshwater sediments.     

A DNA Microarray Platform Based on Direct Detection of rRNA for Characterization of Freshwater Sediment-Related Prokaryotic Communities

A DNA microarray platform for the characterization of bacterial communities in freshwater sediments based on a heterogeneous set of 70 16S rRNA-targeted oligonucleotide probes and directly labeled environmental RNA was developed and evaluated. Application of a simple protocol for the efficient background blocking of aminosilane-coated slides resulted in an improved signal-to-noise ratio and a detection limit of 10 ng for particular 16S rRNA targets. An initial specificity test of the system using RNA from pure cultures of different phylogenetic lineages showed a fraction of false-positive signals of ~5% after protocol optimization and a marginal loss of correct positive signals. Subsequent microarray analysis of sediment-related community RNA from four different German river sites suggested low diversity for the groups targeted but indicated distinct differences in community composition. The results were supported by parallel fluorescence in situ hybridization in combination with sensitive catalyzed reporter deposition (CARD-FISH). In comparisons of the data of different sampling sites, specific detection of populations with relative cellular abundances down to 2% as well as a correlation of microarray signal intensities and population size is suggested. Our results demonstrate that DNA microarray technology allows for the fast and efficient precharacterization of complex bacterial communities by the use of standard single-cell hybridization probes and the direct detection of environmental rRNA, also in methodological challenging habitats such as heterogeneous lotic freshwater sediments.     

质粒pCAMBIA1301的检测

用引物延伸芯片法实现对转基因水稻中 生物芯片技术是生物技术和微制造技术的融合, 已广泛用于生命科学的研究及实践、医学科研及临床、药物设计、环境保护、农业、军事等各个领域。而基因芯片是生物芯片中的一种,是指将大量基因探针分子固定于支持物上,然后与标记的样品进行杂交,所以一次可对大量核酸分子进行检测分析,从而解决了传统核酸印迹杂交技术操作复杂、自动化程度低、检测目的分子数量少、效率低等不足。文章探讨了用基因芯片这一新的检测手段对转基因植物的初步检测,采用一种新的反应机制－引物延伸芯片法（arrayed primer extension）,实现了样品扩增和杂交的一步化,而在传统的基因芯片检测中要需要两步来完成,从而为目前基因芯片中大片段样品的检测提供了一种可能性。 Abstract: Biochip technology which had emerged from the fusion of biotechnology and micro/nanofabrication technology at the end of 1980s has been widely used in life science ,medicine,clinical diagnosis,durg design,agricμLture,envioment pretection and strategics. DNA microarray (also call gene chip,DNA chip),one kind of biochips,is small chip containing many oligonucleotide probe .It can hybridize with labelled sample which makes it possible to detect large numbers of oligonucleotides at one time.So DNA microarray can overcome the disadvantage of traditional hybridization technology such as complexity,low automatization,poor efficiency and amount of detcting molecμLes. This paper describes a new method to detect transgenic plant with gene chip.We have developed a novel arrayed-primer extension technique. It combines hybridization and PCR at one step, while two separate steps are needed in the ordinary DNA microarray, therefore our method provide a feasibility to detect long DNA fragment .     

Group normalization for genomic data

Data normalization is a crucial preliminary step in analyzing genomic datasets. The goal of normalization is to remove global variation to make readings across different experiments comparable. In addition, most genomic loci have non-uniform sensitivity to any given assay because of variation in local sequence properties. In microarray experiments, this non-uniform sensitivity is due to different DNA hybridization and cross-hybridization efficiencies, known as the probe effect. In this paper we introduce a new scheme, called Group Normalization (GN), to remove both global and local biases in one integrated step, whereby we determine the normalized probe signal by finding a set of reference probes with similar responses. Compared to conventional normalization methods such as Quantile normalization and physically motivated probe effect models, our proposed method is general in the sense that it does not require the assumption that the underlying signal distribution be identical for the treatment and control, and is flexible enough to correct for nonlinear and higher order probe effects. The Group Normalization algorithm is computationally efficient and easy to implement. We also describe a variant of the Group Normalization algorithm, called Cross Normalization, which efficiently amplifies biologically relevant differences between any two genomic datasets.     

Detection of bacterial pathogens in municipal wastewater using an oligonucleotide microarray and real-time quantitative PCR

As a first step toward building a comprehensive microarray, two low density DNA microarrays were constructed and evaluated for the accurate detection of wastewater pathogens. The first one involved the direct hybridization of wastewater microbial genomic DNA to the functional gene probes while the second involved PCR amplification of 23S ribosomal DNA. The genomic DNA microarray employed 10 functional genes as detection targets. Sensitivity of the microarray was determined to be approximately 1.0 microg of Esherichia coli genomic DNA, or 2 x 10(8) copies of the target gene, and only E. coli DNA was detected with the microarray assay using municipal raw sewage. Sensitivity of the microarray was enhanced approximately by 6 orders of magnitude when the target 23S rRNA gene sequences were PCR amplified with a novel universal primer set and allowed hybridization to 24 species-specific oligonucleotide probes. The minimum detection limit was estimated to be about 100 fg of E. coli genomic DNA or 1.4 x 10(2) copies of the 23S rRNA gene. The PCR amplified DNA microarray successfully detected multiple bacterial pathogens in wastewater. As a parallel study to verify efficiency of the DNA microarray, a real-time quantitative PCR assay was also developed based on the fluorescent TaqMan probes (Applied Biosystems).     

microDuMIP: target-enrichment technique for microarray-based duplex molecular inversion probes

Molecular inversion probe (MIP)-based capture is a scalable and effective target-enrichment technology that can use synthetic single-stranded oligonucleotides as probes. Unlike the straightforward use of synthetic oligonucleotides for low-throughput target capture, high-throughput MIP capture has required laborious protocols to generate thousands of single-stranded probes from DNA microarray because of multiple enzymatic steps, gel purifications and extensive PCR amplifications. Here, we developed a simple and efficient microarray-based MIP preparation protocol using only one enzyme with double-stranded probes and improved target capture yields by designing probes with overlapping targets and unique barcodes. To test our strategy, we produced 11 510 microarray-based duplex MIPs (microDuMIPs) and captured 3554 exons of 228 genes in a HapMap genomic DNA sample (NA12878). Under our protocol, capture performance and precision of calling were compatible to conventional MIP capture methods, yet overlapping targets and unique barcodes allowed us to precisely genotype with as little as 50 ng of input genomic DNA without library preparation. microDuMIP method is simpler and cheaper, allowing broader applications and accurate target sequencing with a scalable number of targets.     

Using luminescent nanoparticles as staining probes for Affymetrix GeneChips

Microarray technology provides efficient access to genetic information using miniaturized, high-density arrays of DNA probes. We investigated the application of luminescent nanoparticles as probes for Affymetrix GeneChips detection without the need for signal amplification. Our goal is to investigate the feasibility of using luminescent nanoparticles as probes in a commercial microarray system without changing its configurations. With the present imaging modality and existing optical excitation and detection systems of the Affymetrix GeneChips, our early results indicate that nanoparticles not only can be used for GeneChip labeling but also are superior to the traditional fluorescent protein streptavidin-phycoerythrin (SAPE). The advantage of the particles lies in a simplified staining procedure, higher photobleaching threshold, and enhanced luminescence signal. The nanoparticles can be used for detection of low-abundance targets without any amplification step. A concentration detection limit of 50 fM has been achieved. This work demonstrates the feasibility of using luminescent nanoparticles as probes for commercial microarray systems, making them less costly, more reproducible, and potentially quantitative.     

Analysis of crucial factors resulting in microarray hybridization failure

The factors that affect the formation and stability of DNA/DNA duplexes are complicated and still mostly unknown. In this study attempts were made to look for the crucial factor affecting hybridization failure in DNA microarray assays. A comprehensive range of factors were investigated simultaneously using a 25-mer oligonucleotide Potyvirus microarray. These included steric hindrance, direct/indirect labelling types, distance of a probe to the fluorescent labelling end, target (the DNA fragment used to hybridize with microarray probes) strand types either single strand or double strand, probes without mismatch and with different numbers of mismatch nucleotides (up to 36%) and different mismatch locations (5' end, centre and 3' end), probe GC content and T(m), secondary structures of probes and targets, different target lengths (0.277 kb to ~1.3 kb) and concentrations (0.1-30 nM). The results showed that whilst most of these known factors were unlikely to be the main causes of failed hybridization, there was strong evidence suggesting that the viral amplicon target structure is the most crucial factor. However, computing predicted target secondary structures by Mfold showed no correlation with the hybridization results. One explanation is that the predicted target secondary structures are different from the real structures. Here we postulate that the real target structure might be a combination of secondary structures resulting in a three-dimensional structure from exposure to three types of sub-structures: (1) a completely exposed linear structure to allow probes access for the successful hybridization and showing strong fluorescent signals; (2) a partially exposed structure to allow unstable binding and showing weak fluorescent signals; (3) a closed structure resulting in failed hybridization. These results are very important for microarray based studies as they not only provide an explanation for some current controversial results, but also provide potential resolution for the future studies. Due to the lack of available software for predicting the true target structure, development of microarrays should conduct an initial oligonucleotide probe selection procedure and those probes with capacity to hybridize with the target should be considered for the microarray development.     

Electronic microarray analysis of 16S rDNA amplicons for bacterial detection

Electronic microarray technology is a potential alternative in bacterial detection and identification. However, conditions for bacterial detection by electronic microarray need optimization. Using the NanoChip electronic microarray, we investigated eight marine bacterial species. Based on the 16S rDNA sequences of these species, we constructed primers, reporter probes, and species-specific capture probes. We carried out two separate analyses for longer (533 bp) and shorter (350 and 200 bp) amplified products (amplicons). To detect simultaneously the hybridization signals for the 350- and 200-bp amplicons, we designed a common reporter probe from an overlapping sequence within both fragments. We developed methods to optimize detection of hybridization signals for processing the DNA chips. A matrix analysis was performed for different bacterial species and complementary capture probes on electronic microarrays. Results showed that, when using the longer amplicon, not all bacterial targets hybridized with the complementary capture probes, which was characterized by the presence of false-positive signals. However, with the shorter amplicons, all bacterial species were correctly and completely detected using the constructed complementary capture probes.     

基因芯片技术检测3种肠道病原微生物方法的建立

目的:建立一种运用多重PCR和基因芯片技术检测和鉴定伤寒沙门氏菌、痢疾杆菌和单核细胞增生利斯特菌的方法。方法:分别选取伤寒沙门氏菌染色体ViaB区域中编码调控Vi抗原表达的基因(vipR)、痢疾杆菌编码侵袭质粒抗原H基因(ipaH)和单核细胞增生利斯特菌溶血素基因(hlyA)设计引物和探针,探针3'端进行氨基修饰,下游引物标记荧光素Cy3。在优化的PCR和杂交反应条件下,进行三重PCR扩增,产物与包括3种致病菌特异性探针的基因芯片杂交。在评价基因芯片的特异性和灵敏度之后,对临床样本进行检测。结果:只有3种目的致病菌的PCR产物在相应探针位置出现特异性信号,其他阴性细菌均无信号出现;3种致病菌的检测灵敏度均可达到103CFU/mL;检测30例临床样本的结果与常规细菌学培养结果一致。结论:所建立的可同时检测伤寒沙门氏菌、痢疾杆菌和单核细胞增生利斯特菌的基因芯片方法快速、准确,特异性高,重复性好,为3种肠道致病菌的快速检测和鉴定提供了新方法和新思路。     

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.     

dsDNA芯片的DNA结合蛋白质计算机模拟系统

dsDNA芯片(double-stranded DNA microarray)是用于DNA结合蛋白质表达研究的新技术,应用一种新的dsDNA芯片制作方法,研究了dsDNA探针设计,开发了相应的计算机模拟系统—DBP软件。可实现芯片上dsDNA探针的选取以及DNA结合蛋白质检测的实验过程模拟,功能包括模拟酶切、模拟电泳、模拟杂交等实验环节。DBP系统包括了可以不断完善的DNA结合蛋白质数据库。对研究dsDNA芯片,检测和分析在生物 体中DNA结合蛋白质的表达谱,揭示细胞的分化和凋亡、信号转导、DNA转录调控的分子机制有重要意义。     

Robust 3D DNA FISH Using Directly Labeled Probes

3D DNA FISH has become a major tool for analyzing three-dimensional organization of the nucleus, and several variations of the technique have been published. In this article we describe a protocol which has been optimized for robustness, reproducibility, and ease of use. Brightly fluorescent directly labeled probes are generated by nick-translation with amino-allyldUTP followed by chemical coupling of the dye. 3D DNA FISH is performed using a freeze-thaw step for cell permeabilization and a heating step for simultaneous denaturation of probe and nuclear DNA. The protocol is applicable to a range of cell types and a variety of probes (BACs, plasmids, fosmids, or Whole Chromosome Paints) and allows for high-throughput automated imaging. With this method we routinely investigate nuclear localization of up to three chromosomal regions.