等Tm检测探针寡核苷酸芯片在p53突变热点检测中的应用

用等长探针检测基因的点突变,不同GC含量探针的碱基错分辨率很难均一。尝试利用探针近似等Tm的原则设计、制备了检测抑癌基因p53外显子7中密码子245、248、249单碱基突变及缺失的寡核苷酸芯片。实验得到较好的碱基错配分辨率,检测不同位点的碱基错配分辨率较为一致,芯片检测结果与测序结果一致。实验结果为制备检测p53常见热点突变的寡核酸芯片奠定了基础。     

植物病毒检测芯片的杂交条件优化

利用芯片点样仪将5种侵染马铃薯的病毒/类病毒(苜蓿花叶病毒、黄瓜花叶病毒、黄瓜花叶病毒-卫星病毒、马铃薯病毒Y、马铃薯块茎纺锤状类病毒)的保守区寡核苷酸(Oligonucleotide,oligo)探针和PCR探针点样于玻片,并以植物18S rRNA作为内参照制成基因芯片。研究探针浓度、杂交时间、杂交温度以及点样液对芯片杂交的影响,并验证优化后病毒检测芯片的特异性。结果表明,寡核苷酸探针浓度介于5-20 ?mol/L之间对杂交信号强度影响不大,PCR探针浓度与杂交信号强度间呈线性关系;在45℃杂交4 h时,芯片的杂交信号最强,且该条件下进行杂交对两种探针芯片的影响趋势一致;点样液中以DMSO的杂交效果最好。经过整体条件优化后的两种探针芯片在杂交检测上具有较高的特异性,适于检测植物病毒。     

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.     

异羟基洋地黄毒甙元(Digoxigenin)标记的探针在乙型肝炎病毒核酸杂交中的应用

应用异羟基洋地黄毒甙元标记的探针,检测了人和鸭的血清及肝脏中的乙型肝炎病毒核酸,并与~(32)P标记的同位素探针做了比较。结果证明,该探针的特异性和敏感性与同位素探针一致(0.2pg)。它可用于各种核酸杂交试验,如打点杂交、Southern和Northern转印杂交试验等。恰当地从标本中提取待测核酸,是应用该探针的重要条件。     

细小病毒B19 Oligo探针设计

利用BLAST软件对细小病毒B19的序列进行序列比对,获得特异序列;利用生物学软件Oligo6.40设计特异性高、Tm值接近、长度均一的Oligo探针。结果获得了13条70bp的Oligo探针,用于芯片打印及细小病毒B19的检测。表明利用BLAST系统和生物学软件Oligo6.40设计细小病毒B19诊断芯片的探针是一种简便而有效的方法。     

基因芯片技术检测重要人兽共患病病毒方法的建立

为了建立能对25种重要人兽共患病病毒进行筛查及鉴定用的基因芯片技术,本实验首先设计针对每种病毒的寡核苷酸探针并进行探针特异性的生物信息学验证.然后探索病毒核酸随机扩增方法,优化杂交动力学条件,建立本芯片标准的数据处理分析方法.最后用细胞培养的病毒和模拟临床标本验证芯片的敏感性与特异性．结果表明,锚定随机PCR扩增法适合于本芯片病毒核酸的扩增;芯片杂交前用0.25% NaBH4进行封闭,最优杂交条件为51 ℃,2 h及50%甲酰胺浓度;芯片具有较好的敏感性及检测特异性．初步结果表明,本实验所建立的基因芯片技术可应用于对25种重要人兽共患病病毒进行筛查及鉴定．     

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。     

~(125)Ⅰ标记乙型肝炎病毒DNA探针的制备及应用

本文报道用国产~125I-碘化钠标记乙型肝炎病毒DNA制备探针,可得到较高比度的产物,一般稳定在10~7—10(?)cpm/μg DNA。用该探针对不标记的乙型肝炎病毒DNA进行点分子杂交。可检测到5pg左右DNA。对17例血液标本进行点分子杂交,结果与32p-标记乙型肝炎病毒DNA探针杂交结果基本一致。     

两种杆状病毒的限制性消化和p10基因的定位

以5和6种限制性内切酶分别消化昆虫杆状病毒SeNPV和LsNPV DNA,求出它们的基因组平均长133kb和164kb.为了定位这两种杆状病毒的p10基因,构建了含有AcNPVp10基因序列的两个探针载体pAcHP106和pAcEP102.从探针载体回收0.18kb和0.42kb的AcNPV p10基因序列,制备探针,与SeNPV和LsNPV的酶切片段杂交,得到清晰的杂交图谱,准确的定位了这两种病毒的p10基因.     

通用引物PCR检测临床常见致病菌的实验研究

通用引物可一次性扩增18种临床常见致病菌和耐药菌株的DNA,扩增片段长度在220bp左右,18种特异性探针分别与18种标准菌株的PCR扩增产物杂交结果显示探针都具有高度特异性;5种37例经法国梅里埃API细菌鉴定系统确定的临床分离菌株进行杂交鉴定,鉴定结果与分离株一致,表明设计的探针具有高度特异性及准确性。80例临床标本分别用法国梅里埃API细菌鉴定系统及PCR杂交法进行检测,阳性率分别为(52.5%)和(67.5%),表明PCR结合寡核苷酸杂交法比传统的生物学培养法更为灵敏,值得推广。     

滚环复制技术的建立及在RNA病毒基因检测中的初步应用

滚环复制是噬菌体繁殖所采取的一种基因复制方式,这种方式可使单链的环形分子在聚合酶和引物的作用下进行体外自我扩增。本文中用可特异性连接环化的寡核苷酸链作为探针,分别进行了1份细胞培养的禽流感病毒H5N1亚型样品、1份细胞培养的SARS病毒样品和4份丙型肝炎病毒阳性血清样品的检测。检测原理是探针与靶序列杂交后便可在T4DNA连接酶的作用下形成滚环复制中的环化单链分子,该分子在同温下可被特异性引物滚动复制和支链扩增。本文还利用按禽流感病毒NA1基因区序列合成的模拟DNA分子对该检测方法的灵敏度进行了测试。结果显示：利用固相RCA技术成功检测到三种RNA病毒的基因,该方法的灵敏度可达到能检测10^3拷贝模式DNA分子的水平。与传统的PCR方法敏感性的比较尚待进一步研究。     

Cooperativity of paired oligonucleotide probes for microarray hybridization assays

Synthetic DNA probes attached to microarrays usually range in length from 25 to 70 nucleotides. There is a compromise between short probes with lower sensitivity, which can be accurately synthesized in higher yields, and long probes with greater sensitivity but lower synthesis yields. Described here are microarrays printed with spots containing a mixture of two short probes, each designed to hybridize at noncontiguous sites in the same targeted sequence. We have shown that, for a printed microarray, mixed probe spots containing a pair of 30mers show significantly greater hybridization than spots containing a single 30mer and can approach the amount of hybridization to spots containing a 60mer or a 70mer. These spots with mixed oligonucleotide probes display cooperative hybridization signals greater than those that can be achieved by either probe alone. Both the higher synthesis yields of short probes and the greater sensitivity of long oligonucleotides can be utilized. This strategy provides new design options for microarray hybridization assays to detect RNA abundance, RNA splice variants, or sequence polymorphisms.     

Hen vitellogenin genes: a study of the distribution of phosvitin phosphoprotein coding sequences using mRNA hybridization with synthetic complementary oligonucleotide probes

Pentadecamer DNA probes were synthesized, having complementary codons for selected unique pentapeptide sequences of low codon degeneracy present in hen phosvitin minor phosphoprotein, hen phosvitin major phosphoprotein, both phosvitin phosphoproteins. These probes were 5'-32P-labelled. Vitellogenin mRNA was isolated from estrogenized chick liver, fractionated by electrophoresis using formaldehyde/agarose gels and blot transferred to nitrocellulose paper. Relative yields of the two vitellogenin mRNAs differed with the extraction method used. The minor phosphoprotein DNA probe formed a hybrid with a 1.6 megadalton component. The remaining two probes hybridized to a 2.3 megadalton component, this being the expected size of a full-length message. The smallest polyadenylated fragment to which the major phosphoprotein DNA probe hybridized was 1.0 megadalton. The remaining two probes hybridized to fragments of 0.7 megadalton and possibly smaller. Phosvitin major phosphoprotein is concluded to be coded for by part of the larger vitellogenin mRNA, while the minor phosphoprotein is coded for by part of the smaller vitellogenin mRNA. Estimates of the distances of the hybridization sites from polyadenylated tails are also given.     

An Activated GOPS‐poly‐L‐Lysine‐ Coated Glass Surface for the Immobilization of 60mer Oligonucleotides

To explore a method for enhancing the immobilization and hybridization efficiency of oligonucleotides on DNA microarrays, conventional protocols of poly‐L‐lysine coating were modified by means of surface chemistry, namely, the slides were prepared by the covalently coupling of poly‐L‐lysine to a glycidoxy‐modified glass surface. The modified slides were then used to print microarrays for the detection of the SARS coronavirus by means of 60mer oligonucleotide probes. The characteristics of the modified slides concerning immobilization efficiency, hybridization dynamics, and probe stripping cycles were determined. The improved surface exhibited high immobilization efficiency, a good quality uniformity, and satisfactory hybridization dynamics. The spotting concentration of 10 μmol/L can meet the requirements of detection; the spots were approximately 170 nm in diameter; the mean fluorescence intensity of the SARS spots were between 3.2 × 10⁴ and 5.0 × 10⁴ after hybridization. Furthermore, the microarrays prepared by this method demonstrated more resistance to consecutive probe stripping cycles. The activated GOPS‐PLL slide could undergo hybridization stripping cycles for at least three cycles, and the highest loss in fluorescence intensity was found to be only 11.9 % after the third hybridization. The modified slides using the above‐mentioned method were superior to those slides treated with conventional approaches, which theoretically agrees with the fact that modification by surface chemistry attaches the DNA covalently firmly to the slides. This protocol may have great promise in the future for application in large‐scale manufacture.     

Optimization of probe coverage for high-resolution oligonucleotide aCGH

MOTIVATION: The resolution at which genomic alterations can be mapped by means of oligonucleotide aCGH (array-based comparative genomic hybridization) is limited by two factors: the availability of high-quality probes for the target genomic sequence and the array real-estate. Optimization of the probe selection process is required for arrays that are designed to probe specific genomic regions in very high resolution without compromising probe quality constraints. RESULTS: In this paper we describe a well-defined optimization problem associated with the problem of probe selection for high-resolution aCGH arrays. We propose the whenever possible in-cover as a formulation that faithfully captures the requirement of probe selection problem, and provide a fast randomized algorithm that solves the optimization problem in O(n logn) time, as well as a deterministic algorithm with the same asymptotic performance. We apply the method in a typical high-definition array design scenario and demonstrate its superiority with respect to alternative approaches. AVAILABILITY: Address requests to the authors.     

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.     

Randomized probe selection algorithm for microarray design

DNA microarray technology, originally developed to measure the level of gene expression, has become one of the most widely used tools in genomic study. The crux of microarray design lies in how to select a unique probe that distinguishes a given genomic sequence from other sequences. Due to its significance, probe selection attracts a lot of attention. Various probe selection algorithms have been developed in recent years. Good probe selection algorithms should produce a small number of candidate probes. Efficiency is also crucial because the data involved are usually huge. Most existing algorithms are usually not sufficiently selective and quite a large number of probes are returned. We propose a new direction to tackle the problem and give an efficient algorithm based on randomization to select a small set of probes and demonstrate that such a small set of probes is sufficient to distinguish each sequence from all the other sequences. Based on the algorithm, we have developed probe selection software RandPS, which runs efficiently in practice. The software is available on our website (http://www.csc.liv.ac.uk/ approximately cindy/RandPS/RandPS.htm). We test our algorithm via experiments on different genomes (Escherichia coli, Saccharamyces cerevisiae, etc.) and our algorithm is able to output unique probes for most of the genes efficiently. The other genes can be identified by a combination of at most two probes.