生物芯片技术的原理与应用

生物芯片是指将大量生物讯息密码(寡核苷酸、cDNA、基因组DNA、蛋白质等)以预先设计的方式固定在玻片、硅片等固相载体上组成的密集分子阵列,可分为核酸芯片、蛋白芯片、芯片实验室三类.生物芯片技术的本质是生物信号的平行分析,它利用核酸分子杂交、蛋白分子亲和原理,通过荧光标记技术检测杂交或亲和与否,可迅速获得所需信息.高效、快速的生物芯片技术以其无与伦比的优势,已在医学、分子生物学等领域显现出巨大的应用价值,具有非常广阔的发展前景。 Abstract:Bio-chip is a molecular micro-array,which is composed of some biological message codes (e.g.ohgonucleotides,cDNA,genome DNA,protein,and so on) arranged on solid surfaces in light of a engineering design in advance.There are three kinds of Bio-Chips,i.e.,nucleic acid chip,protein chip,and chip “lab”.The essence of Bio-Chip technology is a parallel analysis for biology message.It is based on the principle of nucleic acid molecule hybridization or protein immunochemistry.The occurrence of hybridization/immunoreaction is detected by fluo-labelled technology.Then the needed message can quickly be obtained.Efficient and fast Bio-Chip technology has already exhibited enormous applied value in medical science and molecule biology field because of incomparable superority.Moreover,it possesses very wide development prospect.     

Study on gene sensor based on primer extension

Based on the fact that the resonant frequency of a piezoelectric crystal is the function of its surface deposit, and that the primer extends after it hybridizes with the template, the primer extension gene sensor technique was developed. The prominent feature of the technique is that fast and sensitive frequency signals are used as the monitoring system of gene hybridization and primer strand extension. Results show that this technique may be used in homologous analysis of nucleic acid, trace DNA detection, and determining the integration of DNA. It may also be used for isolation of target gene, gene mutation analysis, and predicting the location of a gene in its genome.     

Granulometric analysis of spots in DNA microarray images

As the topological properties of each spot in DNA microarray images may vary from one another, we employed granulometries to understand the shape-size content contributed due to a significant intensity value within a spot. Analysis was performed on the microarray image that consisted of 240 spots by using concepts from mathematical morphology. In order to find out indices for each spot and to further classify them, we adopted morphological multiscale openings, which provided microarrays at multiple scales. Successive opened microarrays were subtracted to identify the protrusions that were smaller than the size of structuring element. Spot-wise details, in terms of probability of these observed protrusions,were computed by placing a regularly spaced grid on microarray such that each spot was centered in each grid. Based on the probability of size distribution functions of these protrusions isolated at each level, we estimated the mean size and texture index for each spot. With these characteristics, we classified the spots in a microarray image into bright and dull categories through pattern spectrum and shape-size complexity measures. These segregated spots can be compared with those of hybridization levels.     

A DSRPCL-SVM approach to informative gene analysis

Microarray data based tumor diagnosis is a very interesting topic in bioinformatics. One of the key problems is the discovery and analysis of informative genes of a tumor. Although there are many elaborate approaches to this problem, it is still difficult to select a reasonable set of informative genes for tumor diagnosis only with microarray data. In this paper, we classify the genes expressed through microarray data into a number of clusters via the distance sensitive rival penalized competitive learning （DSRPCL） algorithm and then detect the informative gene cluster or set with the help of support vector machine （SVM）. Moreover, the critical or powerful informative genes can be found through further classifications and detections on the obtained informative gene clusters. It is well demonstrated by experiments on the colon, leukemia, and breast cancer datasets that our proposed DSRPCL-SVM approach leads to a reasonable selection of informative genes for tumor diagnosis.     

基因芯片技术检测拉美夫定相关的HBV变异

In order to study the feasibility of gene chips technology in the detection of HBV mutation associated with lamivudine, we detected the mutation of HBV in peripheral blood of 30 patients treated with lamivudine for at least half a year by gene chips. The result was compared with that from direct sequencing. Both results are highly coincident. The rate reaches 100% while detecting single strain of virus infection, and 85% in multi-strains virus infection. Gene chip technology is quite valuable and practical in future clinic.     

The microarray analysis for gene expression in haploids and diploids derived from twin-seedling rice

In this study, microarray technique was employed to analyze the gene expression at the RNA level between haploids and corresponding diploids derived from a rice twin-seedling line SARII-628. Differ- ent degrees of expression variations were observed in the plant after haploidization. The main results are as follows: (1) after haploidization, the ratio of the sensitive loci was 2.47% of the total loci designed on chip. Those loci were randomly distributed on the 12 pairs of rice chromosomes and the activated loci were more than the silenced ones. (2) Gene clusters on chromosome were observed for 33 se- quences. (3) GoPipe function classification for 575 sensitive loci revealed an involvement in the bio- logical process, cell component and molecular function. (4) RT-PCR generally validated the result from microarray with a coincidence rate of 83.78%. And for the randomly-selected activated or silenced loci in chip analysis, the coincidence rate was up to 91.86%.     

Low-volume jet injection for efficient nonviral in vivo gene transfer

The transfer of naked deoxyribonucleic acid (DNA) represents an alternative to viral and liposomal gene transfer technologies for gene therapy applications. Various procedures are employed to deliver naked DNA into the desired cells or tissues in vitro and in vivo, such as by simple needle injection, particle bombardment, in vivo electroporation or jet injection. Among the various nonviral gene delivery technologies jet injection is gaining increasing acceptance because it allows gene transfer into different tissues with deeper penetration of the applied naked DNA. The versatile hand-held Swiss jet injector uses pressurized air to force small volumes of 3 to 10 μL of naked DNA into targeted tissues. The β-galactosidase (LacZ) reporter gene construct and tumor necrosis factor α gene-expressing vectors were successfully jet injected at a pressure of 3.0 bar into xenotransplanted human tumor models of colon carcinoma. Qualitative and quantitative expression analysis of jet injected tumor tissues revealed the efficient expression of these genes in the tumors. Using this Swiss jet-injector prototype repeated jet injections of low volumes (3–10 μL) into one target tissue can easily be performed. The key parameters of in vivo jet injection such as jet injection volume, pressure, jet penetration into the tumor tissue, DNA stability have been defined for optimized nonviral gene therapy. These studies demonstrate the applicability of the jet injection technology for the efficient and simultaneous in vivo gene transfer of two different plasmid DNAs into tumors. It can be employed for nonviral gene therapy of cancer using minimal amounts of naked DNA.     

CDS: a fold-change based statistical test for concomitant identification of distinctness and similarity in gene expression analysis

The problem of identifying differential activity such as in gene expression is a major defeat in biostatistics and bioinformatics.Equally important,however much less frequently studied,is the question of similar activity from one biological condition to another.The foldchange,or ratio,is usually considered a relevant criterion for stating difference and similarity between measurements.Importantly,no statistical method for concomitant evaluation of similarity and distinctness currently exists for biological applications.Modem microarray,digital PCR(dPCR),and Next-Generation Sequencing(NGS) technologies frequently provide a means of coefficient of variation estimation for individual measurements.Using fold-change,and by making the assumption that measurements are normally distributed with known variances,we designed a novel statistical test that allows us to detect concomitantly,thus using the same formalism,differentially and similarly expressed genes(http://cds.ihes.fr).Given two sets of gene measurements in different biological conditions,the probabilities of making type I and type II errors in stating that a gene is differentially or similarly expressed from one condition to the other can be calculated.Furthermore,a confidence interval for the fold-change can be delineated.Finally,we demonstrate that the assumption of normality can be relaxed to consider arbitrary distributions numerically.The Concomitant evaluation of Distinctness and Similarity(CDS) statistical test correctly estimates similarities and differences between measurements of gene expression.The implementation,being time and memory efficient,allows the use of the CDS test in high-throughput data analysis such as microarray,dPCR,and NGS experiments.Importantly,the CDS test can be applied to the comparison of single measurements(N:1) provided the variance(or coefficient of variation) of the signals is known,making CDS a valuable tool also in biomedical analysis where typically a single measurement per subject is available.     

METHODS FOR DETECTION AND ESTIMATION OF LINKAGE BETWEEN A MARKER LOCUS AND QUANTITATIVE TRAIT LOCI Ⅰ. USING F_2 FAMILY SUBPOPULATION

Several methods heve been proposed over the years to detect linkage between a marker gene and a quantitative trait locus (QTL). Use of isozymes and restriction fragment length polymorphisms (RFLPs) as genetic markers has encouraged the development of new methods to detect linkage. In the paper authors present three methods to detect linkage and two methods to measure recombination frequency (r). The three methods that detect linkage are fit for the test of one or several QTLs of quantitative trait considered as long as the net gene effect vaIue of all loci belonging to a linkage cluster is greater significantly than zero, irrespective of their linkage relationship among the several QTLs.     

基因芯片技术及其在植物上的应用

基因芯片技术（gene chip technology)是采用光导原位合成或缩微印刷等方法,将大量特定的DNA探针片段有序地固定于固相载体的表面,形成DNA微阵列,然后与待测的标记样品靶DNA或RNA分子杂交,对杂交信号进行扫描及计算机检测分析,从而获取所需的生物信息。该技术在植物研究中广泛应用于寻找特异性相关基因和新基因,基因表达分析,基因突变和多态性检测,DNA测序等。     

结合SSH和cDNA芯片技术在植物研究中的应用

抑制性差减杂交(Suppression Subtractive Hybridization,SSH)技术是分离差异表达基因的一种新方法。cDNA芯片也是近年来发展起来的一种新技术,它是指将大量的特定的寡核苷酸片段或基因片段作为探针,有规律地排列固定于硅片、玻片、塑料片等固相支持物上制成的芯片。本文主要介绍抑制差减杂交和cDNA芯片技术原理及其在植物研究中的应用。     

基因芯片技术及应用研究进展

采用高速打印或光刻合成技术可在硅片、玻璃或尼龙膜上制造ＤＮＡ微阵列。样品ＤＮＡ／ＲＮＡ通过ＰＣＲ扩增、体外转录等技术掺入荧光标记分子,与微阵列杂交后通过荧光扫描仪器扫描及计算机分析即可获得样品中大量基因序列及表达的信息。该技术可应用于高通量基因表达平行分析、大规模基因发现及序列分析、基因多态性分析和基因组研究等 。     

Using a microfluidic device for 1 microl DNA microarray hybridization in 500 s

This work describes a novel and simple modification of the current microarray format. It reduces the sample/reagent volume to 1 microl and the hybridization time to 500 s. Both 20mer and 80mer oligonucleotide probes and singly labeled 20mer and 80mer targets, representative of the T-cell acute lymphocytic leukemia 1 (TAL1) gene, have been used to elucidate the performance of this hybridization approach. In this format, called shuttle hybridization, a conventional flat glass DNA microarray is integrated with a PMMA microfluidic chip to reduce the sample and reagent consumption to 1/100 of that associated with the conventional format. A serpentine microtrench is designed and fabricated on a PMMA chip using a widely available CO2 laser scriber. The trench spacing is compatible with the inter-spot distance in standard microarrays. The microtrench chip and microarray chip are easily aligned and assembled manually so that the microarray is integrated with a microfluidic channel. Discrete sample plugs are employed in the microchannel for hybridization. Flowing through the microchannel with alternating depths and widths scrambles continuous sample plug into discrete short plugs. These plugs are shuttled back and forth along the channel, sweeping over microarray probes while re-circulation mixing occurs inside the plugs. Integrating the microarrays into the microfluidic channel reduces the DNA-DNA hybridization time from 18 h to 500 s. Additionally, the enhancement of DNA hybridization reaction by the microfluidic device is investigated by determining the coefficient of variation (CV), the growth rate of the hybridization signal and the ability to discriminate single-base mismatch. Detection limit of 19 amol was obtained for shuttle hybridization. A 1 mul target was used to hybridize with an array that can hold 5000 probes.     

Characterization of DNA chips by nanogold staining

DNA microarray is an important tool in biomedical research. Up to now, there are no chips that can allow both quality analysis and hybridization using the same chip. It is risky to draw conclusions from results of different chips if there is no knowledge of the quality of the chips before hybridization. In this article, we report a colorimetric method to do quality control on an array. The quality analysis of probe spots can be obtained by using gold nanoparticles with positive charges to label DNA through electrostatic attraction. The probe spots can also be detected by a simple personal computer scanner. Gold nanoparticles deposited on a glass surface can be dissolved in bromine-bromide solution. The same microarray treated with gold particles staining and destaining can still be used for hybridization with nearly the same efficiency. This approach makes quality control of a microarray chip feasible and should be a valuable tool for biomarker discovery in the future.     

Using a microfluidic device for 1 μl DNA microarray hybridization in 500 s

This work describes a novel and simple modification of the current microarray format. It reduces the sample/reagent volume to 1 μl and the hybridization time to 500 s. Both 20mer and 80mer oligonucleotide probes and singly labeled 20mer and 80mer targets, representative of the T-cell acute lymphocytic leukemia 1 (TAL1) gene, have been used to elucidate the performance of this hybridization approach. In this format, called shuttle hybridization, a conventional flat glass DNA microarray is integrated with a PMMA microfluidic chip to reduce the sample and reagent consumption to 1/100 of that associated with the conventional format. A serpentine microtrench is designed and fabricated on a PMMA chip using a widely available CO₂ laser scriber. The trench spacing is compatible with the inter-spot distance in standard microarrays. The microtrench chip and microarray chip are easily aligned and assembled manually so that the microarray is integrated with a microfluidic channel. Discrete sample plugs are employed in the microchannel for hybridization. Flowing through the microchannel with alternating depths and widths scrambles continuous sample plug into discrete short plugs. These plugs are shuttled back and forth along the channel, sweeping over microarray probes while re-circulation mixing occurs inside the plugs. Integrating the microarrays into the microfluidic channel reduces the DNA–DNA hybridization time from 18 h to 500 s. Additionally, the enhancement of DNA hybridization reaction by the microfluidic device is investigated by determining the coefficient of variation (CV), the growth rate of the hybridization signal and the ability to discriminate single-base mismatch. Detection limit of 19 amol was obtained for shuttle hybridization. A 1 μl target was used to hybridize with an array that can hold 5000 probes.     

基因芯片技术及其在肿瘤基因组学中的应用

基因芯片又称DNA微阵列,分为cDNA微阵列和寡聚核苷酸微阵列。DNA微阵列技术是探索基因组功能的一种强有力工具。扼要介绍基因芯片、表达谱芯片技术和原理,以及基因芯片技术在肿瘤基因组学中的应用。     

利用基因芯片技术区分禽流感病毒主要亚型

[目的]研制可同时区分AIV的H5、H7、H9血凝素亚型及N1、N2神经氨酸酶亚型的基因诊断芯片.[方法]分别克隆了禽流感病毒的M基因,H5、H7、H9亚型HA基因,N1、N2亚型NA基因以及看家基因GAPDH的重组质粒.以重组质粒为模板,用PCR方法扩增制备探针,纯化后点于氨基修饰的片基上,制备基因芯片.在PCR过程中对待检样品进行标记,然后与芯片杂交,洗涤,扫描并进行结果分析.[结果]结果显示检测探针可特异性的与相应的标记样品进行杂交,呈现较强的杂交信号,且无交叉杂交.同时用RT-PCR、鸡胚接种和基因芯片方法对H1-H15亚型AIV参考毒株、30份人工感染样品、21份现地疑似样品进行检测,结果发现,对人工感染样品芯片检测方法与鸡胚接种和RT-PCR的符合率分别为100%和96%,现地样品符合率为100%.[结论]研究表明该方法可用于同步鉴别部分主要流行的禽流感亚型,是一种有效的新方法.