The Stanford Microarray Database

The Stanford Microarray Database (SMD) stores raw and normalized data from microarray experiments, and provides web interfaces for researchers to retrieve, analyze and visualize their data. The two immediate goals for SMD are to serve as a storage site for microarray data from ongoing research at Stanford University, and to facilitate the public dissemination of that data once published, or released by the researcher. Of paramount importance is the connection of microarray data with the biological data that pertains to the DNA deposited on the microarray (genes, clones etc.). SMD makes use of many public resources to connect expression information to the relevant biology, including SGD [Ball,C.A., Dolinski,K., Dwight,S.S., Harris,M.A., Issel-Tarver,L., Kasarskis,A., Scafe,C.R., Sherlock,G., Binkley,G., Jin,H. et al. (2000) Nucleic Acids Res., 28, 77-80], YPD and WormPD [Costanzo,M.C., Hogan,J.D., Cusick,M.E., Davis,B.P., Fancher,A.M., Hodges,P.E., Kondu,P., Lengieza,C., Lew-Smith,J.E., Lingner,C. et al. (2000) Nucleic Acids Res., 28, 73-76], Unigene [Wheeler,D.L., Chappey,C., Lash,A.E., Leipe,D.D., Madden,T.L., Schuler,G.D., Tatusova,T.A. and Rapp,B.A. (2000) Nucleic Acids Res., 28, 10-14], dbEST [Boguski,M.S., Lowe,T.M. and Tolstoshev,C.M. (1993) Nature Genet., 4, 332-333] and SWISS-PROT [Bairoch,A. and Apweiler,R. (2000) Nucleic Acids Res., 28, 45-48] and can be accessed at http://genome-www.stanford.edu/microarray.     

酵母全基因组芯片的应用

酵母作为最常用的模式生物,其全基因组测序最先完成。利用已知的酵母基因组信息,结合基因芯片技术,可进一步系统研究酵母的功能基因组表达。基因芯片技术是上世纪末发展起来的一项集分子生物学、生物信息学和电子学等科目的生物高新技术。酵母全基因组芯片,可以用以从基因表达水平,研究环境、物理、化学因子、毒理和药物作用的机制,在最终阐明酵母基因组功能的同时,为生物学研究提供更优化的模式生物模型。     

The Stanford Microarray Database: data access and quality assessment tools

The Stanford Microarray Database (SMD; http://genome-www.stanford.edu/microarray/) serves as a microarray research database for Stanford investigators and their collaborators. In addition, SMD functions as a resource for the entire scientific community, by making freely available all of its source code and providing full public access to data published by SMD users, along with many tools to explore and analyze those data. SMD currently provides public access to data from 3500 microarrays, including data from 85 publications, and this total is increasing rapidly. In this article, we describe some of SMD's newer tools for accessing public data, assessing data quality and for data analysis.     

基因芯片制备方法研究进展

基因芯片是融微电子学、生命科学和物理学为一体的技术,目前广泛应用于疾病的基因诊断、基因表达研究、基因组研究、发现新基因以及病原体的诊断,具有广阔的应用前景。基因芯片的制备主要可分为原位合成、合成后交联二种方法。本文综述了基因芯片的制备方法分析了各自的优缺点。     

基因芯片扫描类风湿关节炎滑膜组织的研究进展

类风湿关节炎（RA）是一种慢性炎症疾病,尽管已经明确该病具有基因学背景,但仍知之甚少。当今对类风湿关节炎功能预选基因研究的众多手段中,基因芯片技术以其能够同时分析成千上万个基因表达而成为最有竞争力的研究工具。通过该技术鉴别分类疾病相关基因群、创立疾病特异性基因群数据库,将有助于深层次地了解RA的基因基础,并成为评估RA诊断与治疗手段有效与否的一个有益工具。     

MPDA: Microarray pooled DNA analyzer

Background  

Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new technique uses pooled DNA, thereby reducing costs associated with the typing of DNA from numerous individuals. Moreover, use of an oligonucleotide gene chip reduces costs related to processing various DNA segments (e.g., primers, reagents). Thus, the technique provides an overall cost-effective solution for large-scale genomic/genetic research. However, few publicly shared tools are available to systematically analyze the rapidly accumulating volume of whole-genome pooled DNA data.     

High-Density Microarray of Small-Subunit Ribosomal DNA Probes

Ribosomal DNA sequence analysis, originally conceived as a way to provide a universal phylogeny for life forms, has proven useful in many areas of biological research. Some of the most promising applications of this approach are presently limited by the rate at which sequences can be analyzed. As a step toward overcoming this limitation, we have investigated the use of photolithography chip technology to perform sequence analyses on amplified small-subunit rRNA genes. The GeneChip (Affymetrix Corporation) contained 31,179 20-mer oligonucleotides that were complementary to a subalignment of sequences in the Ribosomal Database Project (RDP) (B. L. Maidak et al., Nucleic Acids Res. 29:173-174, 2001). The chip and standard Affymetrix software were able to correctly match small-subunit ribosomal DNA amplicons with the corresponding sequences in the RDP database for 15 of 17 bacterial species grown in pure culture. When bacteria collected from an air sample were tested, the method compared favorably with cloning and sequencing amplicons in determining the presence of phylogenetic groups. However, the method could not resolve the individual sequences comprising a complex mixed sample. Given these results and the potential for future enhancement of this technology, it may become widely useful.     

基因表达谱微阵列网络数据库在肿瘤研究中的应用

基因表达谱微阵列数据库是一类可提供存储、查询、下载分析的在线网络数据库,在肿瘤相关领域的研究中提供了大量的数据来源。由于微阵列分析对于无生物/医学信息学专业背景的研究人员仍然有较多困难,致使该数据库的使用尚未普及。本文从数据查询、下载分析和使用方法等方面对常用基因表达谱微阵列数据库进行概述,并对现阶段基因表达微阵列数据库的应用策略进行总结,旨在帮助该领域研究的初学工作者了解数据库的基本知识并推动其在科研工作中的应用。     

DNA微阵列技术在阿尔茨海默病及其防治药物研究中的应用

在生物技术飞速发展的今天,DNA微阵列已成为功能基因组时代大规模、高通量乃至全基因组表达和功能研究的有力工具。阿尔茨海默病,因其发病机制复杂,迄今尚无定论,因此在临床上也缺乏有效的防治药物。简要综述DNA微阵列技术应用于阿尔茨海默病发病机制、早期诊断及防治药物等方面的研究进展。     

The Longhorn Array Database (LAD): An Open-Source,MIAME compliant implementation of the Stanford Microarray Database (SMD)

Background  

The power of microarray analysis can be realized only if data is systematically archived and linked to biological annotations as well as analysis algorithms.     

DNA微阵列基片的化学处理

对于合成后点样的DNA微阵列 ,基片的表面化学处理非常重要。它直接影响到样品与基片的结合效率 ,进而影响杂交结果。基片表面的各种化学修饰方法多种多样 ,物理吸附主要以赖氨酸包被为主。共价结合通常使用同源偶联分子或异源偶联分子 ,还可以在基片表面组装线状、分支状连接分子或包被琼脂糖。着重介绍了DNA微阵列的制备 ,即样品如何固定到玻璃基片上。总结了不同类型基片表面的化学修饰方法以及DNA与基片的化学结合。     

DNA微阵列在药物研究中的应用

DNA微阵列是传统分子生物学向后基因组学过渡中发展起来的新技术,具有高通量,速度快的优点,并能够在药物和基因之间架起一座桥梁.从基因水平上来解释药物的作用机理,因此在新型药物开发和分析中具有广泛的应用前景.本文着重介绍了该技术的概况和在药物开发和分析中的应用,并提出了该技术在药物开发和分析的前景和展望.     

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)}     

DNA Microarray for Rapid Detection of Mitochondrial DNA Haplotypes of Chum Salmon

For use in genetic stock identification, we developed an oligonucleotide (DNA) microarray hybridization method for rapid and accurate detection of nucleotide sequence variations in 20 previously identified variable nucleotide sites in about 500 bp within the 5 half of the control region of mitochondrial DNA of chum salmon (Oncorhynchus keta). The method includes immobilization of synthesized oligonucleotides containing respective polymorphic sites on a glass slide precoated with polycarbodiimide resin, a 2-hour hybridization with DNA microarray of biotinylated polymerase chain reaction fragments spanning the 5 variable portion followed by short washing, and visualization of hybridization signals by conventional ABC method and scanner-assisted computation of signal intensity on a computer. The entire process of hybridization and detection was completed within 4 hours. The resulting DNA microarray could detect all of the single nucleotide mutations and therefore could be used to identity the sequence variations defining 30 mtDNA haplotypes of chum salmon as revealed previously by nucleotide sequence analysis.     

DNA微阵列(或芯片)技术原理及应用

DNA微阵列或芯片(DNA microarray or chip)技术是近年发展起来的又一新的分子生物学研究工具.它是利用光导化学合成、照相平板印刷以及固相表面化学合成等技术,在固相表面合成成千上万个寡核苷酸探针,或将液相合成的探针由微阵列器或机器人点样于尼龙膜或硅片上,再与放射性同位素或荧光物标记的DNA或cDNA杂交,用于分析DNA突变及多态性、DNA测序、监测同一组织细胞在不同状态下或同一状态下多种组织细胞基因表达水平的差异、发现新的致病基因或疾病相关基因等多个研究领域.     

DNA微阵列技术及其在肿瘤生物学中的应用

人类基因组测序工作的完成使人们可以方便地调用任何基因序列,但仅有基因序列并不能解释众多的生物学问题,这要求发展一种高通量的技术用于研究基因的生物学功能以及基因的相互作用。DNA微阵列技术以其高通量的特点,已经在肿瘤生物学的研究中逐渐被采用。由于癌症是源于基因表达谱改变的基因疾病,通过DNA微阵列技术研究癌症细胞和对应的正常细胞的基因表达差异,将会使人们更好地了解肿瘤的形成和发展过程。     

基因芯片技术检测3种食源性致病微生物方法的建立

建立一种运用多重PCR和基因芯片技术检测和鉴定志贺氏菌、沙门氏菌、大肠杆菌O157的方法, 为3种食源性致病菌的快速检测和鉴定提供了准确、快速、灵敏的方法。分别选取编码志贺氏菌侵袭性质粒抗原H基因(ipaH)、沙门氏菌肠毒素(stn)基因和致泻性大肠杆菌O157志贺样毒素(slt)基因设计引物和探针, 进行三重PCR扩增, 产物与含特异性探针的芯片杂交。对7种细菌共26株菌进行芯片检测, 仅3种菌得到阳性扩增结果, 证明此方法具有很高的特异性。3种致病菌基因组DNA和细菌纯培养物的检测灵敏度约为8 pg。对模拟食品样品进行直接检测, 结果与常规细菌学培养结果一致, 检测限为50 CFU/mL。结果表明：所建立的基因芯片检测方法特异性好, 灵敏度高, 为食源性致病菌的检测提供了理想手段, 有良好的应用前景。     

乳酸菌基因芯片应用研究进展

基因芯片技术是上世纪90年代兴起的一种对成百上千甚至上万个基因同时进行检测的新技术,具有高通量、并行化的特点,广泛应用于基因表达谱测定、基因功能预测、基因突变检测和多态性分析等方面。多种乳酸菌基因组全序列以及其大量EST、16S rDNA、16S-23S基因间区和功能基因序列测定的完成,有力地推动了基因芯片技术在乳酸菌研究中的应用。介绍了基因芯片的基本原理及乳酸菌基因芯片在基因表达、种属鉴定等研究中的应用进展,以期更好地利用和开发乳酸菌基因芯片。