PPARδ激动剂高通量筛选模型的建立

为建立基于细胞瞬时转染的过氧化物酶体增殖物激活受体δ(peroxisome proliferator-activated receptor delta PPARδ)激动剂高通量筛选模型,用RT-PCR技术从肝的总RNA中扩增PPARδ基因序列,将其连至T克隆载体进行测序。将序列正确的PPARδ片段连接至pTARGET载体上构建表达载体pTARGET-ppARδ;将合成的3个拷贝的PPRE(peroxisome proliferator receptorresponse element)插入pGL3-promoter构成报告质粒pGl3-PPRE×3-luc。用脂质体转染技术将表达载体与报告质粒共转染细胞系,通过检测荧光素酶基因的表达状况评价化合物对PPARδ的激动活性。通过多种条件的优化,得到了最佳的共转染条件。阳性药苯扎贝特明显提高荧光素酶的表达,最大上调倍增数可达10倍,并且在一定浓度下阳性药与相对荧光酶的活性表达有较好的量效关系。该筛选模型灵敏、稳定,为对PPARδ激动剂进行药物研发和PPARδ机理的研究打下基础。     

高通量筛选瞬时受体势V3通道调节剂细胞模型的建立

为发现TRPV3调节剂,通过荧光成像分析系统检测钙浓度,建立高通量筛选瞬时受体势V3通道(Transient receptor potential V3,TRPV3)调节剂的细胞模型.将TRPV3表达载体转染人胚肾(HEK-293)细胞,抗生素筛选稳定表达TRPV3的细胞系,选取TRPV3特异性调节剂作用于细胞模型,应用荧光成像分析系统测钙实验检测TRPV3高表达细胞系药理学特征,同时优化实验条件,考察模型的稳定性,并评估应用于96孔板及384孔板进行高通量筛选的可靠性及准确性.获得了高表达TRPV3的HEK-293稳定细胞系,通过TRPV3离子通道调节的钙流信号与TRPV3特异性调节剂成剂量依赖关系,优化得到了最适筛选条件,该模型稳定,灵敏,通过Z因子及Spiking检测,完全符合高通量筛选需求.利用此细胞模型通过检测钙信号可筛选TRPV3调节剂.     

代谢型谷氨酸受体5亚型高通量筛选模型的建立

目的: 利用荧光测钙的方法,建立了人源代谢型谷氨酸受体5亚型(mGluR5)的高通量筛选模型。方法: 通过基因合成得到mGluR5的ORF区域,并将其构建到pCNDA3.1真核表达载体上。将此重组质粒转染HEK293细胞,利用抗生素筛选和钙流检测方法得到稳定表达mGluR5的重组细胞株。结果: 对试验条件:接种密度,孵育时间,溶剂DMSO浓度进行了优化,建立了稳定可靠的实验系统。并使用该受体特异激动剂和拮抗剂进行了功能验证,其中激动剂EC50 L-Quisqualic acid(67.8nmol/L) > L-Glu(2.73μmol/L),抑制剂IC50 MTEP(3.3nmol/L) > Fenobam(23.5nmol/L)系统Z因子为0.68,证明建立了一个人源mGluR5抑制剂的细胞筛选模型。利用此重组细胞株对360种化合物进行了筛选,找到了若干对mGluR5有抑制效果的化合物。结论: 此细胞模型适用于mGluR5抑制剂的高通量筛选。     

代谢型谷氨酸受体4亚型(mGluR4)高通量药物筛选模型的建立

为发现代谢型谷氨酸受体4亚型(mGluR4)的调节剂,通过荧光检测胞内钙浓度的方法,建立一个基于细胞功能性检测的高通量筛选(HTS)系统。将人mGluR4基因转染稳定表达Gα15蛋白的人胚肾细胞(HEK-293),用Zeocin筛选获得稳定表达mGluR4的细胞株,并通过钙流检测试验证实该细胞系的生物学功能。优化了实验系统中荧光染料的孵育时间,溶剂二甲基亚砜(DMSO)耐受性,以及溶剂氢氧化钠(NaOH)耐受性,建立了可靠稳定的筛选系统。钙流检测试验数据表明,mGluR4细胞系对其激动剂的活性程度排序是:L-(+)-2-Amino-4-phosphonobutyricacid(L-AP4)>L-Serine-O-phosphate(L-SOP)>L-Glutamicacid(L-Glu);拮抗剂是:(RS)-α-Methylserine-O-phosphate(MSOP)>(RS)-α-Methyl-4-phosphonophenylglycine(MPPG)。在96和384细胞微孔培养板中,得到该筛选系统Z’因子分别是0.80和0.65。结果表明,该稳定细胞系拥有一个稳定的检测系统,适合于mGluR4激动剂...     

α-葡萄糖苷酶抑制剂高通量筛选模型的建立及其应用

【目的】针对人α-麦芽糖苷酶这个糖代谢途径中重要的靶蛋白,建立α-糖苷酶抑制剂高通量筛选模型。【方法】采用毕赤酵母表达系统克隆和表达人α-麦芽糖苷酶。利用酶的催化特性建立α-糖苷酶抑制剂筛选模型。应用该模型对放线菌代谢产物库进行高通量筛选。通过构建16SrRNA系统发育树分析阳性菌株的分类地位。【结果】首次成功克隆、表达了具催化活性的人α-麦芽糖苷酶N端结构域。针对人α-麦芽糖苷酶N端催化结构域,建立α-糖苷酶抑制剂的筛选模型。对包含近2000株放线菌代谢产物的天然产物库进行高通量筛选,最终得到20株α-麦芽糖苷酶抑制剂生产菌株。其中19株放线菌为链霉菌属,且在分类学上具有丰富的多样性。【结论】本研究建立的α-糖苷酶抑制剂高通量筛选模型具有很强的实用价值,可用于新型糖苷酶抑制剂类降糖药物的开发。     

高通量筛选技术及其应用

主要介绍了高通量筛选技术(HTS,HighThroughputScreening)的原理,包括非细胞相筛选、细胞相筛选和生物表型筛选及其在生命科学和药学领域中的应用以及高通量筛选技术的发展趋势。     

抗甲病毒化合物高通量筛选模型的建立与应用

建立抗甲病毒化合物高通量筛选模型可为筛选和分析抗甲病毒药靶提供技术基础。本研究以含有分泌型荧光素酶(Gaussialuciferase,GLUC)报告基因标记的重组辛德毕斯病毒XJ160-GLUC为分子基础,建立了抗甲病毒化合物的高通量筛选模型,并对感染复数、检测时间等参数进行优化。经过优化,筛选模型的Z’因子值可达到0.71,表明我们所建立的筛选模型具有较好的稳定性。应用该筛选模型对8080个五合一样品进行筛选,最终获得19个具有抗甲病毒活性的阳性化合物。本研究所建立的抗甲病毒化合物高通量筛选模型及抗甲病毒阳性化合物的发现为抗甲病毒靶标相关的研究提供了新的思路和信息。     

人胰腺α-淀粉酶抑制剂高通量筛选模型的建立及其应用

【目的】针对人胰腺α-淀粉酶这个糖代谢途径中重要的靶蛋白,建立α-淀粉酶抑制剂高通量筛选模型。【方法】采用毕赤酵母表达系统克隆和表达人胰腺α-淀粉酶;利用酶的催化特性建立α-淀粉酶抑制剂筛选模型;应用该模型对放线菌发酵液冻干物进行高通量筛选;通过构建16S rRNA系统发育树分析阳性菌株的分类地位。【结果】成功克隆、表达了具催化活性的人胰腺α-淀粉酶;建立了α-淀粉酶抑制剂的筛选模型;对近2000株放线菌的发酵液冻干物进行高通量筛选,最终得到14株α-淀粉酶抑制剂产生菌株,且在分类学上具有丰富的菌种多样性。【结论】本研究建立的α-淀粉酶抑制剂高通量筛选模型具有很强的实用价值,可用于新型淀粉酶抑制剂类降糖药物的开发。     

黑色素皮质素受体激动剂的高通量筛选模型研究

为了建立黑色素皮质素受体（MC4R）激动剂的高通量筛选方法,将人的MC4R基因质粒（hMC4R/pCDNA3.1）与报告基因质粒（3×CRE/3×MRE/SRE-LUC）按1∶5的比例共转染到HEK293细胞,通过G418筛选,建立了稳定的MC4R激动剂筛选细胞株.利用MC4R内源激动剂α-MSH探索和优化了每孔接种细胞数目、激动剂孵育时间、溶剂DMSO终浓度、荧光素酶底物浓度等筛选条件,建立了可靠的筛选方法.实验表明：当细胞数目为4×10⁴个/孔,激动剂孵育时间为8 h,每孔DMSO终浓度小于1％和α-MSH终浓度为1 μmol/L时,系统Z'-因子接近0.7,能够用于MC4R激动剂的高通量筛选.     

高通量筛选在抗病毒药物筛选中的应用

高通量筛选(high throughput screening, HTS)是以分子和细胞水平的实验方法为基础,在微孔板上以自动化操作系统执行实验过程,通过灵敏快速的检测仪器采集实验数据、运用计算机对实验数据进行实验结果的分析处理.因此HTS具有大量样品的快速筛选、分子和细胞水平的特异性作用靶点、检测系统的高灵敏度、自动化操作系统和数据采集传输处理系统等优点.     

毕赤酵母液滴微流控高通量筛选方法的建立与应用

巴斯德毕赤酵母是当前应用最为方便和广泛的外源蛋白表达系统之一,为了进一步提高其表达外源蛋白的能力,文中建立了基于液滴微流控的毕赤酵母高通量筛选方法,并以木聚糖酶融合荧光蛋白为例,筛选获得木聚糖酶表达和分泌能力提高的突变株。通过PCR扩增得到木聚糖酶xyn5基因和绿色荧光蛋白gfp基因融合片段,并克隆到毕赤酵母表达载体pPIC9K中构建出木聚糖酶融合绿色荧光蛋白的质粒pPIC9K-xyn5-gfp,电转化至毕赤酵母GS115中得到表达木聚糖酶和绿色荧光蛋白的毕赤酵母SG菌株。该菌株经过常压室温等离子体诱变后进行单细胞液滴包埋,液滴培养24h后进行微流控筛选,获得高表达木聚糖酶的突变菌株,进而用于下一轮的诱变突变库构建和筛选。以此类推,经过5轮液滴微流控筛选,获得一株高产菌株SG-m5,其木聚糖酶活为149.17U/mg,较出发菌株提升300%,分泌外源蛋白的能力较出发菌株提高160%。文中建立的毕赤酵母单细胞液滴微流控高通量筛选方法能达到每小时10万菌株的筛选通量,筛选百万级别的菌株库仅需10h,消耗荧光试剂体积100μL,对比传统的微孔板筛选方法降低试剂成本近百万倍,为高效、低成本筛选获得表达和分泌外源蛋白能力提高的毕赤酵母提供了一条新途径。     

Development of a novel ectonucleotidase assay suitable for high-throughput screening

5'-Ectonucleotidase (NT5E) catalyzes the conversion of adenosine monophosphate to adenosine and free phosphate. The role of this ectonucleotidase and its production of adenosine are linked with immune function, angiogenesis, and cancer. NT5E activity is typically assayed either by chromatographic quantification of substrates and products using high-performance liquid chromatography (HPLC) or by quantification of free phosphate using malachite green. These methods are not suitable for robust screening assays of NT5E activity. HPLC is not readily suitable for the rapid and efficient assay of multiple samples and malachite green is highly sensitive to the phosphate-containing buffers common in various media and sample buffers. Here the development and validation of a novel high-throughput ectonucleotidase screening assay are described, which makes use of a luciferase-based assay reagent, the Promega CellTiter-Glo kit, to measure the catabolism of AMP by NT5E. This multiwell plate-based assay facilitates the screening of potential ectonucleotidase antagonists and is unaffected by the presence of contaminating phosphate molecules present in screening samples.     

高通量筛选工具的设计与应用

定向进化方法作为新兴的高效蛋白质工程手段,其内容包括蛋白质突变体文库的构建和有效突变体的快速筛选。高通量筛选方法是定向进化方法的重要组成部分,是成功获得有效突变体的关键。筛选的突变体数量越多,获得有效突变体的几率越大。以下介绍了目前已经成功应用于或有潜力应用于定向进化改造蛋白质的几种高通量筛选工具。高通量筛选工具的不断设计与开发将推动蛋白质工程领域的技术革新。     

New options to engineer biofuel microbes: Development and application of a high-throughput screening system

The number of recent efforts on rational metabolic engineering approaches to increase butanol production in Clostridium acetobutylicum are quite limited, demonstrating the physiological complexity of solventogenic clostridia. Since multiple largely unknown parameters determine a particular phenotype, an inverse strategy to select a phenotype of interest can be useful. However, the major constraint for explorative or combinatorial metabolic engineering approaches is the availability of a feasible screening method to select the desired phenotype from a large population in a high-throughput manner. Therefore, a semi-quantitative assay was developed to monitor alcohol production in microtiter cultures of C. acetobutylicum. The applicability of the screening system was evaluated by two examples. First, C. acetobutylicum ATCC 824 was chemically mutagenized and subjected to high butanol concentrations as a pre-selection step. Screening of the butanol-tolerant population resulted in the identification of mutants with >20% increased butanol production as compared to the wildtype. The second application example was based on a pre-engineered C. acetobutylicum strain with low acetone biosynthetic activity, but concomitantly reduced butanol titer. After chemical mutagenesis, a total of 4390 clones was analyzed and mutants with significantly increased butanol concentrations and similarly low acetone levels as the parental strain were selected. Thus, the suitability of the semi-quantitative screening system was validated, opening up new perspectives for combinatorial strategies to improve solventogenic clostridia and other biofuel microbes.     

Development of a high-throughput process for detection and screening of genetic polymorphisms

A method is described that uses the ABI PRISM 310 genetic analyzer in conjunction with custom-designed software to identify and classify RAPD products. This methodology will also work well with AFLPs and microsatellite analyses. The methodology uses the ABI PRISM 310's high-throughput (> 500 samples per week) capabilities and in-lane molecular weight standards to efficiently separate and size DNA products. Peak detection, locus classification and export of the data in a form accessible by several genetic analysis programs were accomplished through a custom-written software program (Peaks). Various criteria used by the program to identify and classify loci are described, and their effect on population analyses is examined. Criteria providing an effective, robust determination of population structure are presented.     

Development of a high-throughput screening assay based on the 3-dimensional pannus model for rheumatoid arthritis

The 3-dimensional (3-D) pannus model for rheumatoid arthritis (RA) is based on the interactive co-culture of cartilage and synovial fibroblasts (SFs). Besides the investigation of the pathogenesis of RA, it can be used to analyze the active profiles of antirheumatic pharmaceuticals and other bioactive substances under in vitro conditions. For a potential application in the industrial drug-screening process as a transitional step between 2-dimensional (2-D) cell-based assays and in vivo animal studies, the pannus model was developed into an in vitro high-throughput screening (HTS) assay. Using the CyBitrade mark-Disk workstation for parallel liquid handling, the main cell culture steps of cell seeding and cultivation were automated. Chondrocytes were isolated from articular cartilage and seeded directly into 96-well microplates in high-density pellets to ensure formation of cartilage-specific extracellular matrix (ECM). Cell seeding was performed automatically and manually to compare both processes regarding accuracy, reproducibility, consistency, and handling time. For automated cultivation of the chondrocyte pellet cultures, a sequential program was developed using the CyBio Control software to minimize shear forces and handling time. After 14 days of cultivation, the pannus model was completed by coating the cartilage pellets with a layer of human SFs. The effects due to automation in comparison to manual handling were analyzed by optical analysis of the pellets, histological and immunohistochemical staining, and real-time PCR. Automation of this in vitro model was successfully achieved and resulted in an improved quality of the generated pannus cultures by enhancing the formation of cartilage-specific ECM. In addition, automated cell seeding and media exchange increased the efficiency due to a reduction of labor intensity and handling time.     

细菌中优化冷激启动子的高通量筛选方法的建立

为了优化冷激启动子,分别利用卡那霉素抗性基因kan和荧光蛋白(EGFP)基因为报告基因建立了两种高通量筛选方法。抗性筛选方法是通过观察菌落形态变化判断启动子强弱,适用于筛选强启动子。荧光筛选方法中,对转化子进行平板诱导,使用荧光显微镜拍摄菌落荧光,Matlab软件计算每一个菌落的亮度,实现高通量筛选,操作简单,精确度较好。     

Development of a high-throughput solubility screening assay for use in antibody discovery

Poor solubility is a common challenge encountered during the development of high concentration monoclonal antibody (mAb) formulations, but there are currently no methods that can provide predictive information on high-concentration behavior of mAbs in early discovery. We explored the utility of methodologies used for determining extrapolated solubility as a way to rank-order mAbs based on their relative solubility properties. We devised two approaches to accomplish this: 1) vapor diffusion technique utilized in traditional protein crystallization practice, and 2) polyethylene glycol (PEG)-induced precipitation and quantitation by turbidity. Using a variety of in-house mAbs with known high-concentration behavior, we demonstrated that both approaches exhibited reliable predictability of the relative solubility properties of these mAbs. Optimizing the latter approach, we developed a format that is capable of screening a large panel of mAbs in multiple pH and buffer conditions. This simple, material-saving, high-throughput approach enables the selection of superior molecules and optimal formulation conditions much earlier in the antibody discovery process, prior to time-consuming and material intensive high-concentration studies.