Gene expression analysis for high throughput screening applications

To meet growing needs for high throughput gene expression profiling, we established a new automated high throughput TaqMan RT-PCR method for quantitative mRNA expression analysis. In this method, the Allegro( trade mark ) (Zymark) system conducts all sample tracking and liquid handling steps, and ABI PRISM 7900 HT (Applied Biosystems) is used to conduct real-time determination of the C(t) value when amplification of PCR products is first detected and accumulation of inhibitory PCR products is unlikely to occur. The ABI PRISM 7900 HT Sequence Detection System features a real-time PCR instrument with 384-well-plate compatibility and robotic loading, and continuous wavelength detection, which enables the use of multiple fluorophores in a single reaction. The Allegro System offers an assembly line approach with a modular design that allows reconfiguration of the components to accommodate variations in the assay flow. In the present study, we have established and validated a new automated High Throughput (HT) TaqMan RT-PCR- based method for quantitative mRNA expression analysis. The data demonstrate that HT-Taqman PCR is a powerful tool that can be used for measuring low concentrations of mRNA, and is highly accurate, reproducible, and amenable to high throughput analysis. Results suggest that HT-TaqMan is a reliable method for the quantification of low-expression genes and a powerful tool with HT capability for target identification/validation, structure-activity relationship (SAR) study, compound selection for efficacy studies, and biomarker identification in drug discovery and development.     

High throughput and global approaches to gene expression

In the past several years, a new set of technologies based on whole genome analysis have revolutionized the study of gene expression. These microarray or "gene chip" technologies, which arose out of the development of large-scale sequencing approaches, are now coming into increasing use, generating a far greater volume of data than the data representing the sequences themselves. This review focuses on the current state of development of these technologies, and the available approaches to manage and analyze the information they generate. The applicability of this technology to general problems in biomedicine is also discussed.     

Crosstalk-free colloidosomes for high throughput single-molecule protein analysis

Droplet microfluidics is a powerful platform for high-throughput single-molecule protein analysis. However, the issues of coalescence and crosstalk of droplets compromise the accuracy of detection and hinder its wide application. To address these limitations, a novel colloidosome-based method was presented by combining a Pickering emulsion with droplet microfluidics for single-molecule protein analysis. Utilizing the self-assembly of easily synthesized colloidal surfactant F-SiO_2 NPs at the water/oil interface, the colloidosomes are rigidly stabilized and can effectively avoid the leakage of fluorescent molecules. The crosstalk-free colloidosomes enable high-throughput single-molecule protein analysis, including heterogenous dynamic studies and digital detection. As a robust and accurate method, colloidosome-based microfluidics is promising as a powerful tool for a wide variety of applications, such as directed enzyme evolution, digital enzyme-linked immunosorbent assay(ELISA), and screening of antibiotics.     

Counter-current chromatography for high throughput analysis of natural products

Counter-current chromatography (CCC) is a unique support-free liquid-liquid partition chromatography winning wide applications in the separation of various components from natural or synthetic mixtures. It has been one of the prime methods for isolating compounds from Traditional Chinese Medicines (TCM) and other comprehensive natural products. Although early CCC models produced a long-standing false image that CCC is a time-consuming technique, rapid and high-performance CCC devices and methods for high-throughput analysis of natural mixtures have been advanced. For instances, multi-channel CCC, dual CCC, elution-extrusion CCC, and solvent simplification protocols can provide high-throughput CCC analysis and produce high purity of compounds or large natural product libraries for drug discovery. This review summarizes the recent advancements of CCC in the high-throughput analysis of natural product with an emphasis on the developments of instruments and methods.     

Analysis of image-based phenotypic parameters for high throughput gene perturbation assays

Although image-based phenotypic assays are considered a powerful tool for siRNA library screening, the reproducibility and biological implications of various image-based assays are not well-characterized in a systematic manner. Here, we compared the resolution of high throughput assays of image-based cell count and typical cell viability measures for cancer samples. It was found that the optimal plating density of cells was important to obtain maximal resolution in both types of assays. In general, cell counting provided better resolution than the cell viability measure in diverse batches of siRNAs. In addition to cell count, diverse image-based measures were simultaneously collected from a single screening and showed good reproducibility in repetitions. They were classified into a few functional categories according to biological process, based on the differential patterns of hit (i.e., siRNAs) prioritization from the same screening data. The presented systematic analyses of image-based parameters provide new insight to a multitude of applications and better biological interpretation of high content cell-based assays.     

Simultaneous determination of six analytes by HPLC-UV for high throughput analysis in permeability assessment

A methodology for the simultaneous determination of six control analytes, including carbamazepine, desipramine, guanabenz, methotrexate, propranolol, and warfarin, was developed and validated utilizing reversed-phase high-performance liquid chromatography with ultraviolet detection for high throughput analysis for permeability assessment. The analytes were separated on Agilent Zorbax SB-C18 (50 × 4.6 mm I.D., 5 μm) with a gradient mobile phase consisting of water (containing 1% isopropyl alcohol and 0.01% heptafluorobutyric acid) and acetonitrile (containing 1% isopropyl alcohol and 0.01% heptafluorobutyric acid). The flow rate was 2.0 mL/min and the eluent was monitored at 280 nm. A linear response was found for all six analytes over a broad concentration range (1.00-200 μM). The correlation coefficient for each analyte was greater than 0.999. The limit of detection and limit of quantitation were 0.03 and 0.10 μM, 0.10 and 0.30 μM, 0.05 and 0.15 μM, 0.03 and 0.10 μM, 0.05 and 0.15 μM, 0.10 and 0.30 μM for carbamazepine, desipramine, guanabenz, methotrexate, propranolol, and warfarin, respectively. The optimized method was further successfully applied to high throughput analysis for parallel artificial permeability assay.     

Fully automated sample treatment method for high throughput proteome analysis

The bottom-up strategy for proteome analysis typically employs a multistep sample preparation workflow that suffers from being time-consuming and sample loss or contamination caused by the off-line manual operation.Herein,we developed a hollow fibre membrane(HFM)-aided fully automated sample treatment(FAST)method.Due to the confinement effects of HFMs and the immobilized enzymatic reactor,the proteome samples could be denatured,reduced,desalted and digested within 8–20 min via the one-stop service.This method also showed superiority in trace sample analysis.In one and half hours,we could identify about 1,600 protein groups for 500 HeLa cells as the starting materials,1.5–8 times more than those obtained by previously reported methods.Through the on-line combination of FAST with nano-liquid chromatography-electrospray ionization tandem mass spectrometry(nanoLC-ESI-MS/MS),we further established a fully integrated platform for label-free quantification of proteome with high reproducibility and precision.Collectively,FAST presented here represents a major advance in the high throughput sample treatment and quantitative analysis of proteomes.     

食品中农药残留的高通量分析之展望(英文)

The screening of pesticide residues plays a vital role in food safety.Applications of high throughput analytical procedures are desirable for screening a large number of pesticides and food samples in a time-efficient and cost-effective manner.This review discusses how sample throughput of pesticide analysis could be improved with an emphasis on sample preparation,instrumentation and data analysis.     

Automated high throughput analysis of antiretroviral drugs in dried blood spots

For therapeutic drug monitoring in remote settings, dried blood spots (DBS) are particularly advantageous, as blood sample collection and handling is uncomplicated. The aim of this study was to develop and validate an automated extraction method for the analysis of nevirapine, efavirenz and lopinavir in DBS samples. Automated extraction was performed with methanol : water (70 : 30 v /v ), using a DBS‐MS 500 autosampler coupled to a liquid chromatography tandem mass spectrometry system. The autosampler used digital images of each DBS to position the extraction head, sprayed 10 μl of internal standard onto each DBS and extracted a 4‐mm disc (Ø) from the centre of each spot by unilateral flow using 25‐μl extraction solvent. The analytes were baseline separated on a pentafluorophenyl column and analysed by using electrospray ionization with multiple reaction monitoring in positive polarity mode for nevirapine and lopinavir and in negative mode for efavirenz. The method was linear between 10 and 10 000 ng/ml for all analytes. Automated sample extraction resulted in consistent recoveries (nevirapine: 70 ± 6%, efavirenz: 63 ± 11% and lopinavir: 60 ± 10%) and matrix effects between different donors and concentration levels. Intra‐day and inter‐day accuracy and precision deviations were ≤15%. Manual and automated extractions of DBS samples collected within the framework of an adherence assessment study in rural Tanzania showed good agreements with deviations of less than 10%. Our study highlights that therapeutic drug monitoring samples obtained in the resource‐constrained setting of rural Africa can be reliably determined by automated extraction of DBS. Overall, automatization improved method sensitivity and facilitates analysis of large sample numbers. Copyright © 2017 John Wiley & Sons, Ltd.     

Multi-group cancer outlier differential gene expression detection

It has recently been shown that cancer genes (oncogenes) tend to have heterogeneous expressions across disease samples. So it is reasonable to assume that in a microarray data only a subset of disease samples will be activated (often referred to as outliers), which presents some new challenges for statistical analysis. In this paper, we study the multi-class cancer outlier differential gene expression detection. Statistical methods will be proposed to take into account the expression heterogeneity. Through simulation studies and application to public microarray data, we will show that the proposed methods could provide more comprehensive analysis results and improve upon the traditional differential gene expression detection methods, which often ignore the expression heterogeneity and may loss power. Supplementary information can be found at http://www.biostat.umn.edu/~baolin/research/orf.html.     

Chemically sensitive high throughput parallel analysis of solid phase supported library members

This paper introduces Fourier transform infrared imaging as a powerful spectroscopic tool for the parallel identification of members of resin-supported combinatorial libraries. This technique combines the chemical specificity and high sensitivity of FTIR with the ability to rapidly analyze multiple supported resin beads simultaneously. It is shown here that the chemical identity of ligands on a variety of supported resin beads can be identified in a single experiment without destroying or otherwise perturbing the system.     

A high pressure differential thermal analysis apparatus

A high pressure differential thermal analysis apparatus is described which is capable of operation in the pressure range from 1-600 atm of nitrogen gas and at temperatures from 25 to 500°C. Use of the apparatus is illustrated by the deaquation reactions of CuCl₂·2H₂0 and CoSO₄·7H₂O at pressures from 1 to 69 atm.     

Phenotypic screening of small molecule libraries by high throughput cell imaging

We have developed high throughput fluorescence cell imaging methods to screen chemical libraries for compounds with effects on diverse aspects of cell physiology. We describe screens for compounds that arrest cells in mitosis, that block cell migration, and that block the secretory pathway. Each of these screens yielded specific inhibitors for research use, and the mitosis screen identified Eg5 as a potential target protein for cancer chemotherapy. Cell imaging provides a large amount of information from primary screening data that can be used to distinguish compounds with different effects on cells, and together with automated analysis, to quantitate compound effects.     

Retroviral display and high throughput screening

Retroviruses distinguish themselves from all other mammalian viruses by their abilities to infect and propagate in mammalian cells without causing a cytopathic effect and to stably integrate their genetic information into the genome of the host cell. These unique properties make them an ideal platform for the display and directed evolution of proteins in a mammalian cell environment. This review will describe the essentials about retrovirus biology and then discuss in detail display and screening strategies that have been developed during the past 15 years of retroviral display technology.     

Sample preparation for high throughput accurate mass analysis by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

An automated sample preparation for high throughput accurate mass determinations by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) has been developed. Sample preparation was performed with an automated workstation and automated mass analyses were performed with a commercial MALDI-TOF mass spectrometer. The method was tested with a 41-sample library. MALDI-TOFMS was found to give the needed sensitivity, accurate mass measurement, and soft ionization necessary for structure confirmation, even of mixtures. A mass accuracy of 5 ppm or less was obtained in over 80% of known compound measurements. A mass accuracy better than 10 ppm was obtained for all measurements of known compounds. Analyses of parallel synthesis products resulted in 77% of the measurements with a mass accuracy of 5 ppm or better.     

基于报告基因技术的MDR1转录抑制剂高通量筛选模型的建立和应用

MDR1基因是引起肿瘤多药耐药的主要基因,其编码的P-gp蛋白可持续将药物由胞内排出胞外以降低胞内药物浓度导致多药耐药,MDR1基因的转录抑制剂可抑制MDR1基因在癌细胞中的表达,从而逆转肿瘤多药耐药.通过克隆MDR1基因的启动子,将其插入pGL3-basic质粒构建MDR1-luc＋报告基因载体,再将重组载体转染入HepG2肝癌细胞并筛选单克隆细胞株,构建了MDR1启动子的高通量筛选模型,Z′因子为0.75;通过对中药样品库的筛选,得到两种中药提取物高良姜水提物、红豆蔻醇提物有明显耐药逆转效果,EC50值分别为高良姜水提物16.37mgL-1和红豆蔻醇提物14.96mgL-1,RT-PCR验证上述两种阳性样品具有明显的抑制MDR1基因表达的作用.以上结果为MDR1基因的转录抑制剂高通量筛选奠定了基础.