基因芯片应用前景

本文简述了基因芯片的基本原理,制备流程,对基因芯片在医学和生物学领域基因表达检测,寻找新基因,DNA测序,基因突变体和多态性分析,传染病和遗传病诊断,药物筛选等方面的应用进行了综述,文中示意图对上述部分应用进行了形象说明,起到加深理解的作用。     

消减杂交技术结合限制性显示技术制备K562细胞特异基因探针

建立一种简便、快速、特异的制备基因芯片探针的方法.以K562细胞和正常人淋巴细胞作为消减对象,利用自行建立的消减方法进行消减杂交,结合限制性显示技术,分组扩增差异cDNA,回收K562细胞特异基因片段,制作基因芯片探针.结果显示,分离到400个K562特异的基因,片段大小均一,适于制作cDNA芯片.消减杂交技术结合限制性显示技术制备基因芯片探针,具有快速、简便、特异的特点,降低了芯片制作成本,可加速芯片的推广应用.     

利用基因芯片技术筛选HIV-1F亚型基因限制性显示探针

为筛选限制性显示技术制备的HIV 1F亚型基因探针 ,应用基因芯片打印仪将其有序地打印在玻片上制备基因芯片 .在随机引物延伸的过程中进行HIV样品的荧光标记 ,然后与芯片进行杂交 .杂交后清洗玻片并干燥 ,对芯片进行扫描 ,分析各探针的杂交信号 .从中筛选了 14个基因片段作为芯片下一步研究的探针 .实验证明 ,限制性显示技术是一种制备基因芯片探针的实用方法     

多药耐药基因分型芯片的制备及优化

目的:建立多药耐药基因(mdr1)分型芯片,以检测患者的单核苷酸多态性(SNPs)。方法:设计并合成探针和引物,制备芯片;构建野生型和突变型质粒,以其为模板经PCR仪扩增后,与芯片上的探针杂交,并用扫描仪分析结果。结果:构建了野生型和突变型质粒,与芯片杂交能很好地区分基因型;优化了制备条件,建立了分型标准。结论:该基因芯片是一种快速特异的基因分型方法。     

基因芯片的制备方法

合成后点样的DNA微阵列分析cDNA微阵列和寡核苷酸芯片,点样方法主要是通过物理吸附或共价结合的方式将探针固定于载体上。本文归纳了近年来国内外文献报道的基因芯片的制备方法,展望了基因芯片的应用前景。     

制备炭疽芽胞杆菌检测基因芯片的初步研究

建立制备炭疽芽胞杆菌检测基因芯片的技术,并探讨研制检测炭疽芽胞杆菌基因芯片的方法。酶切炭疽芽胞杆菌的毒素质粒和荚膜质粒,通过建立质粒DNA文库的方法获取探针,并打印在经过氨基化修饰的玻片上,制成用于炭疽芽胞杆菌检测的基因芯片。收集了290个阳性克隆探针,制备了检测炭疽芽胞杆菌的基因芯片。提取炭疽芽胞杆菌质粒DNA与基因芯片杂交,经ScanArray Lite芯片阅读仪扫描得到初步的杂交荧光图像。通过分析探针的杂交信号初步筛选出273个基因片段作为芯片下一步研究的探针。     

cDNA文库法制备HCV-1诊断芯片探针的应用性研究

探讨利用eDNA文库法制备HCV-1诊断基因芯片探针的可行性．用限制性内切酶Sau3AI消化HCVla及lb全长eDNA,所得的酶切片段72℃补平加A,AT克隆,PCR初步鉴定,并测序．结果显示：HCV两个亚型1a、1b的全长eDNA得到57个大小相对一致(200-1000bp)的片段,平均每个亚型约28个,PCR及序列分析表明,所扩增的片段均属于HCV-1的特异基因,可做为HCV-1诊断基因芯片探针．利用eDNA文库法收集片段是一种快速、简便制备芯片探针的实用方法．     

基因芯片核酸样品制备方法的优化

基因芯片研究中,基于不同的样品来源,基因含量,检测方法和分析目的,采用的核酸分离。扩增和标记方法各异。本综述了对核酸样品制备条件的优化,主要有核酸的单链化处理,片段化和标记方法,根据具体情况选用合适的处理方法,可显提高基因芯片检测的特异性和重现性。     

分子诊断技术的临床应用进展

分子诊断技术主要包括核酸分子杂交技术、核酸扩增技术、基因芯片技术、基因测序技术,已广泛应用于临床各科。比如在肿瘤疾病中应用荧光原位杂交技术(FISH)检测乳腺癌中HER-2基因扩增,应用基因芯片技术检测胃癌进程中基因拷贝数变化,应用高通量测序技术(HTS)检测肺癌中的EGFR基因突变;在遗传病中应用FISH技术针对唐氏综合征进行产前诊断,应用数字PCR技术进行无创产前筛查,应用HTS技术进行Hermansky-Pudlak综合征的诊断;在感染性疾病中应用RT-PCR试剂盒进行新冠肺炎的检测,应用基因芯片技术筛选抗生素抗性基因,应用HTS技术进行耐药基因的筛选等。本文主要介绍分子诊断技术在这三大类疾病领域的临床应用最新进展。     

基因芯片技术及其应用

基因芯片是近年来产生的一项生物高技术。它是利用原位合成或合成后交联法,将大量的核酸片段有规则地固定在固相支持物如载玻片、金属片、尼龙膜上,制成芯片,然后将要检测的样品用荧光素或同位素标记,再与做成的芯片充分杂交,通过对杂交信号的检测来分析样品中的信息。基因芯片技术已在基因表达水平的检测、基因点突变及多态性检测、DNA序列测定、寻找可能的致病基因和疾病相关基因、蛋白质作图、基因组文库作图等方面显示出了广阔的应用前景。     

DNA芯片技术研究进展

DNA芯片技术是近年来发展迅速的生物高技术 .其基本过程是采用寡核苷酸原位合成或显微打印手段 ,将大量探针片段有序地固化于支持物如硅芯片的表面 ,然后与扩增、标记的生物样品杂交 ,通过对杂交信号的检测分析 ,即可得出样品的遗传信息 .该技术不仅可以对遗传信息进行定性、定量分析 ,而且扩展到基因组研究和基因诊断等方面的应用 .尽管目前在硬件和软件上还面临一些困难 ,但其发展和应用的前景广阔 .     

AIV血凝素亚型同步检测基因芯片技术研究

对流感病毒14个血凝素亚型的基因芯片检测技术进行了初步研究。通过RT-PCR克隆禽流感病毒血凝素基因片段,获得重组质粒。从重组质粒扩增大约500bp的DNA片段,浓缩后点到氨基化玻璃载体上,制成芯片。待检病毒样品用TRIzolLS提取RNA,反转录过程中用Cy5标记样品cDNAs。将标记样品与芯片杂交,扫描芯片上待检样品与芯片上捕捉探针的结合位点,杂交信号与预期设想一致。结果显示,DNA芯片技术可以提供一种有效的AIV血凝素亚型鉴别诊断方法。     

Quantitative analysis of DNA array autoradiographs

DNA arrays and chips are powerful new tools for gene expression profiling. Current arrays contain hundreds or thousands of probes and large scale sequencing and screening projects will likely lead to the creation of global genomic arrays. DNA arrays and chips will be key in understanding how genes respond to specific changes of environment and will also greatly assist in drug discovery and molecular diagnostics. To facilitate widespread realization of the quantitative potential of this approach, we have designed procedures and software which facilitate analysis of autoradiography films with accuracy comparable to phosphorimaging devices. Algorithms designed for analysis of DNA array autoradiographs incorporate 3-D peak fitting of features on films and estimation of local backgrounds. This software has a flexible grid geometry and can be applied to different types of DNA arrays, including custom arrays.     

Chemiluminescent detection of sequential DNA hybridizations to high-density, filter-arrayed cDNA libraries: a subtraction method for novel gene discovery.

A chemiluminescent approach for sequential DNA hybridizations to high-density filter arrays of cDNAs, using a biotin-based random priming method followed by a streptavidin/alkaline phosphatase/CDP-Star detection protocol, is presented. The method has been applied to the Brugia malayi genome project, wherein cDNA libraries, cosmid and bacterial artificial chromosome (BAC) libraries have been gridded at high density onto nylon filters for subsequent analysis by hybridization. Individual probes and pools of rRNA probes, ribosomal protein probes and expressed sequence tag probes show correct specificity and high signal-to-noise ratios even after ten rounds of hybridization, detection, stripping of the probes from the membranes and rehybridization with additional probe sets. This approach provides a subtraction method that leads to a reduction in redundant DNA sequencing, thus increasing the rate of novel gene discovery. The method is also applicable for detecting target sequences, which are present in one or only a few copies per cell; it has proven useful for physical mapping of BAC and cosmid high-density filter arrays, wherein multiple probes have been hybridized at one time (multiplexed) and subsequently "deplexed" into individual components for specific probe localizations.     

Analysis of the pattern of gene expression during human adipogenesis by DNA microarray

High density DNA microarrays containing over 5000 cDNA clones were used to carry out a comprehensive investigation of gene expression during adipogenesis. Complex probes synthesized from total RNA were hybridized to the arrays to determine the level of mRNA expression of each arrayed gene. Thirty three genes (29 known and 4 ESTs with no identified homologies) have been found to alter their level of expression more than 2.5-fold after differentiation. The quantitative measurement by DNA array was in good agreement with conventional Northern blot analysis of selected genes. Our results demonstrate that utilization of a DNA array is a speedy, efficient and quantitative approach to profile the expression of a large number of genes.     

用基因表达谱芯片研究人正常肝和肝细胞癌中差异表达的基因

以基因表达谱芯片对人正常肝及肝癌组织基因表达的差异性进行了研究比较。奖４０９６条人ｃＤＮＡ用点样仪点在特制玻片上制备成表达谱芯片;利用肝和肝癌组织的ｍＲＮＡ通过逆转录方法,将Ｃｙ３和Ｃｙ５２种荧光分别标记到两种组织的ｃＤＮＡ上,制备成ｃＤＮＡ探针,并与表达谱芯片进行杂交及扫描,重复４次实验,通过计算机数据处理判定基因是否在上述２种组织中有表达差异,筛选出差异表达的基因共９０３条。基因芯片技术可同时     

A Strategy to Optimize the Oligo-Probes for Microarray-based Detection of Viruses

DNA microarrays have been acknowledged to represent a promising approach for the detection of viral pathogens. However, the probes designed for current arrays could cover only part of the given viral variants, that could result in false-negative or ambiguous data. If all the variants are to be covered, the requirement for more probes would render much higher spot density and thus higher cost of the arrays. Here we have developed a new strategy for oligonucleotide probe design. Using type I human immunodeficiency virus (HIV-1) tat gene as an example, we designed the array probes and validated the optimized parameters in silico. Results show that the oligo number is significantly reduced comparing with the existing methods, while specificity and hybridization efficiency remain intact. The adoption of this method in reducing the oligo numbers could increase the detection capacity for DNA microarrays, and would significantly lower the manufacturing cost for making array chips.