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High-throughput protein expression of cDNA products as a tool in functional genomics.

A proteomics approach has been developed aimed to allow high throughput analysis of protein products expressed from cDNA fragments (expressed sequence tags, ESTs). The concept relies on expression of gene products to generate specific antibodies for protein analysis, such as immunolocalization of the proteins on cellular and subcellular level. To evaluate the system, 55 cDNA clones with predominantly unknown function were selected from a mouse testis cDNA-library. A bacterial expression system was designed that allowed robust expression and easy purification. Protein levels between 15 and 80 mg l(-1) were obtained for 49 of the clones. Five clones were selected for immunization and all yielded functional antibodies that gave specific staining in Western blot screening of samples from various cell types. Furthermore, extensive immunolocalization information on subcellular level was obtained for three of the five clones. All generated data were stored in a relational database, and are made available through a web-interface (http://www.biochem.kth.se/multiscale/), which also provides relevant links and allows homology searches from the original sequences. The possibility to allow analysis of gene products from whole genomes using this 'localization proteomics' approach is discussed.

Amino Acid Sequence↗

Application of visual basic in high-throughput mass spectrometry-directed purification of combinatorial libraries.

We present an approach to customize the sample submission process for high-throughput purification (HTP) of combinatorial parallel libraries using preparative liquid chromatography electrospray ionization mass spectrometry. In this study, Visual Basic and Visual Basic for Applications programs were developed using Microsoft Visual Basic 6 and Microsoft Excel 2000, respectively. These programs are subsequently applied for the seamless electronic submission and handling of data for HTP. Functions were incorporated into these programs where medicinal chemists can perform on-line verification of the purification status and on-line retrieval of postpurification data. The application of these user friendly and cost effective programs in our HTP technology has greatly increased our work efficiency by reducing paper work and manual manipulation of data.

Combinatorial Chemistry Techniques↗

High-throughput synthesis and screening of ternary metal alloys for electrocatalysis.

We report the application of a new method for the high-throughput synthesis and screening of thin film materials and its application to the discovery of electrocatalysts. Results are presented for the PtPdAu ternary alloy system with respect to activity for oxygen reduction. The results reveal an enhancement in activity for a range of PtPd alloy compositions over either of the pure elements. An optimum composition range of ternary alloys with significant activity was also identified. A correlation was also investigated between the surface reduction potential and the activity for oxygen reduction in both binary and ternary alloys. The results demonstrate the potential of the methodology for the discovery and optimization of electrocatalysts for a wide range of applications.

Journal Article↗

High throughput identification of potential Arabidopsis mitogen-activated protein kinases substrates.

Mitogen-activated protein kinase (MAPK) cascades are universal and highly conserved signal transduction modules in eucaryotes, including plants. These protein phosphorylation cascades link extracellular stimuli to a wide range of cellular responses. However, the underlying mechanisms are so far unknown as information about phosphorylation substrates of plant MAPKs is lacking. In this study we addressed the challenging task of identifying potential substrates for Arabidopsis thaliana mitogen-activated protein kinases MPK3 and MPK6, which are activated by many environmental stress factors. For this purpose, we developed a novel protein microarray-based proteomic method allowing high throughput study of protein phosphorylation. We generated protein microarrays including 1,690 Arabidopsis proteins, which were obtained from the expression of an almost nonredundant uniclone set derived from an inflorescence meristem cDNA expression library. Microarrays were incubated with MAPKs in the presence of radioactive ATP. Using a threshold-based quantification method to evaluate the microarray results, we were able to identify 48 potential substrates of MPK3 and 39 of MPK6. 26 of them are common for both kinases. One of the identified MPK6 substrates, 1-aminocyclopropane-1-carboxylic acid synthase-6, was just recently shown as the first plant MAPK substrate in vivo, demonstrating the potential of our method to identify substrates with physiological relevance. Furthermore we revealed transcription factors, transcription regulators, splicing factors, receptors, histones, and others as candidate substrates indicating that regulation in response to MAPK signaling is very complex and not restricted to the transcriptional level. Nearly all of the 48 potential MPK3 substrates were confirmed by other in vitro methods. As a whole, our approach makes it possible to shortlist candidate substrates of mitogen-activated protein kinases as well as those of other protein kinases for further analysis. Follow-up in vivo experiments are essential to evaluate their physiological relevance.

Arabidopsis↗

Accurate and reliable high-throughput detection of copy number variation in the human genome.

This study describes a new tool for accurate and reliable high-throughput detection of copy number variation in the human genome. We have constructed a large-insert clone DNA microarray covering the entire human genome in tiling path resolution that we have used to identify copy number variation in human populations. Crucial to this study has been the development of a robust array platform and analytic process for the automated identification of copy number variants (CNVs). The array consists of 26,574 clones covering 93.7% of euchromatic regions. Clones were selected primarily from the published "Golden Path," and mapping was confirmed by fingerprinting and BAC-end sequencing. Array performance was extensively tested by a series of validation assays. These included determining the hybridization characteristics of each individual clone on the array by chromosome-specific add-in experiments. Estimation of data reproducibility and false-positive/negative rates was carried out using self-self hybridizations, replicate experiments, and independent validations of CNVs. Based on these studies, we developed a variance-based automatic copy number detection analysis process (CNVfinder) and have demonstrated its robustness by comparison with the SW-ARRAY method.

Algorithms↗

Single-molecule detection technologies in miniaturized high-throughput screening: fluorescence intensity distribution analysis.

Single-molecule detection technologies are becoming a powerful readout format to support ultra-high-throughput screening. These methods are based on the analysis of fluorescence intensity fluctuations detected from a small confocal volume element. The fluctuating signal contains information about the mass and brightness of the different species in a mixture. The authors demonstrate a number of applications of fluorescence intensity distribution analysis (FIDA), which discriminates molecules by their specific brightness. Examples for assays based on brightness changes induced by quenching/dequenching of fluorescence, fluorescence energy transfer, and multiple-binding stoichiometry are given for important drug targets such as kinases and proteases. FIDA also provides a powerful method to extract correct biological data in the presence of compound fluorescence.

Alcohol Dehydrogenase↗

High-throughput protein analysis by multiplexed sodium dodecyl sulfate capillary gel electrophoresis with UV absorption detection.

We have developed a novel, high-throughput approach for molecular mass determination of proteins from 14 200 to 116 000 based upon multiplexed, absorbance-based capillary electrophoresis. Via capillary multiplexing, 96 samples were analyzed simultaneously within 30 min. Detection with ultraviolet light obviates the need for protein staining or derivatization. The detection limit of the system was estimated at 5 microg/ml bovine serum albumin (BSA) when sampled from 12.5 mM Tris-HCl. The linear dynamic range was over two orders of magnitude from 5 microg/ml to 1000 microg/ml for BSA. Better than 5% sizing accuracy for protein molecular mass determination and excellent run-to-run and day-to-day reproducibility was obtainable with the described method.

Electrophoresis, Capillary↗

High-throughput glycan array screening reveals rhamnogalacturonan-I as a ligand for Arabidopsis leucine-rich repeat receptor kinases involved in plant immunity.

The plant cell wall not only serves as a physical barrier against pathogens but, when damaged, also functions as a source of cell wall-derived molecules that play crucial roles in plant immunity as damage-associated molecular patterns. While oligogalacturonides from homogalacturonan are well-studied damage-associated molecular patterns, the immune-signaling potential of other cell wall components remains largely unexplored. Conventional genetic and biochemical approaches aimed at identifying ligand-receptor pairs in plant immunity have been limited by the vast diversity of potential ligand molecules and functional redundancy of putative receptors. In this study, we developed a high-throughput screening pipeline that simultaneously examines multiple interactions between plant cell wall-derived glycans and >350 extracellular domains of receptor kinases and receptor-like proteins in Arabidopsis, resulting in the screening of >40 000 interactions. We discovered a group of leucine-rich repeat receptor kinases named ARMs (AWARENESS of RG-I MAINTENANCES) that interact with rhamnogalacturonan-I (RG-I), a major component of pectin. RG-I treatment induced pattern-triggered immunity responses with distinct kinetics compared to oligogalacturonide responses. We identified RG-I oligosaccharide structures required for interaction with ARM receptors and immune activation and found that ARM receptors function redundantly in plant immunity. Collectively, our work provides a powerful platform for discovering glycan-receptor pairs in plants, facilitating a more comprehensive understanding of cell wall surveillance mechanisms in plant immunity.

Arabidopsis↗

SPINE high-throughput crystallization, crystal imaging and recognition techniques: current state, performance analysis, new technologies and future aspects.

This paper reviews the developments in high-throughput and nanolitre-scale protein crystallography technologies within the remit of workpackage 4 of the Structural Proteomics In Europe (SPINE) project since the project's inception in October 2002. By surveying the uptake, use and experience of new technologies by SPINE partners across Europe, a picture emerges of highly successful adoption of novel working methods revolutionizing this area of structural biology. Finally, a forward view is taken of how crystallization methodologies may develop in the future.

Crystallography↗

SNPstream UHT: ultra-high throughput SNP genotyping for pharmacogenomics and drug discovery.

Single nucleotide polymorphism (SNP) genotyping is playing an increasing role in genome mapping, pharmacogenetic studies, and drug discovery. To date, genome-wide scans and studies involving thousands of SNPs and samples have been hampered by the lack of a system that can perform genotyping with cost-effective throughput, accuracy, and reliability. To address this need, Orrhid has developed an automated, ultra-high throughput system, SNPstream UHT, which uses multiplexed PCR in conjunction with our next generation SNP-IT tag array single base extension genotyping technology The system employs oligonucleotide microarrays manufactured in a 384-well format on a novel glass-bottomed plate. Multiplexed PCR and genotyping are performed in homogeneous reactions, and assay results are read by direct two-color fluorescence on the SNPstream UHTArray Imager. The systems flexibility enables large projects involving thousands of SNPs and thousands of samples as well as small projects that have hundreds of SNPs and hundreds of samples to be done cost effectively. We have successfully demonstrated this system in greater than 1,000,000 genotyping assays with >96% of samples giving genotypes with >99% accuracy

Alleles↗

Fluorescence polarization assays for high throughput screening of G protein-coupled receptors.

Fluorescence polarization assays in 384-well microtiter plates have been demonstrated. The performance is suitable for high throughput drug screening applications with respect to speed of analysis, displaceable signal, precision, and sensitivity to various reagents. Rank order of potency was maintained relative to [(125)I]-ligand filtration assays, and the effects of the highly colored compounds, tartrazine and Chicago Sky Blue, were insignificant on the polarization signal up to a concentration of 1 microM. These attributes suggest that accurate assessment of drug binding can be obtained.

Fluorescence Polarization↗

High-throughput SNP allele-frequency determination in pooled DNA samples by kinetic PCR.

We have developed an accurate, yet inexpensive and high-throughput, method for determining the allele frequency of biallelic polymorphisms in pools of DNA samples. The assay combines kinetic (real-time quantitative) PCR with allele-specific amplification and requires no post-PCR processing. The relative amounts of each allele in a sample are quantified. This is performed by dividing equal aliquots of the pooled DNA between two separate PCR reactions, each of which contains a primer pair specific to one or the other allelic SNP variant. For pools with equal amounts of the two alleles, the two amplifications should reach a detectable level of fluorescence at the same cycle number. For pools that contain unequal ratios of the two alleles, the difference in cycle number between the two amplification reactions can be used to calculate the relative allele amounts. We demonstrate the accuracy and reliability of the assay on samples with known predetermined SNP allele frequencies from 5% to 95%, including pools of both human and mouse DNAs using eight different SNPs altogether. The accuracy of measuring known allele frequencies is very high, with the strength of correlation between measured and known frequencies having an r(2) = 0.997. The loss of sensitivity as a result of measurement error is typically minimal, compared with that due to sampling error alone, for population samples up to 1000. We believe that by providing a means for SNP genotyping up to thousands of samples simultaneously, inexpensively, and reproducibly, this method is a powerful strategy for detecting meaningful polymorphic differences in candidate gene association studies and genome-wide linkage disequilibrium scans.

Animals↗

A fluorescence-based assay for fatty acid amide hydrolase compatible with high-throughput screening.

A novel fluorescent assay to continuously monitor fatty acid amide hydrolase (FAAH) activity that is simple, sensitive, and amenable to high-throughput screening (HTS) of compound libraries is described in this article. Stable Chinese hamster ovary (CHO) cell lines expressing either human FAAH or an inactive mutant, FAAH-S241A, were established. Arachidonyl 7-amino, 4-methyl coumarin amide (AAMCA), a novel fluorogenic substrate for FAAH, was designed and synthesized. FAAH catalyzes the hydrolysis of AAMCA to generate arachidonic acid and a highly fluorescent 7-amino, 4-methyl coumarin (AMC). The assay was done at 25 degrees C by incubating whole cell or microsomal preparations from FAAH-expressing cells with AAMCA. Release of AMC was monitored continuously using a fluorometer. Microsomal FAAH catalyzed the hydrolysis of AAMCA with an apparent K(m) of 0.48muM and V(max) of 58pmolmin(-1)mgprotein(-1). The assay is specific for FAAH given that microsomes prepared from cells expressing FAAH-S241A or vector alone had no significant activity against AAMCA. Furthermore, the activity was inhibited by URB-597, an FAAH-specific inhibitor, in a concentration-dependent manner with an IC(50) of 33.5nM. The assay was optimized for HTS and had a Z' value ranging from 0.7 to 0.9. The assay is also compatible with ex vivo analysis of FAAH activity.

Amidohydrolases↗

Enrichment of high-throughput screening data with increasing levels of noise using support vector machines, recursive partitioning, and laplacian-modified naive bayesian classifiers.

High-throughput screening (HTS) plays a pivotal role in lead discovery for the pharmaceutical industry. In tandem, cheminformatics approaches are employed to increase the probability of the identification of novel biologically active compounds by mining the HTS data. HTS data is notoriously noisy, and therefore, the selection of the optimal data mining method is important for the success of such an analysis. Here, we describe a retrospective analysis of four HTS data sets using three mining approaches: Laplacian-modified naive Bayes, recursive partitioning, and support vector machine (SVM) classifiers with increasing stochastic noise in the form of false positives and false negatives. All three of the data mining methods at hand tolerated increasing levels of false positives even when the ratio of misclassified compounds to true active compounds was 5:1 in the training set. False negatives in the ratio of 1:1 were tolerated as well. SVM outperformed the other two methods in capturing active compounds and scaffolds in the top 1%. A Murcko scaffold analysis could explain the differences in enrichments among the four data sets. This study demonstrates that data mining methods can add a true value to the screen even when the data is contaminated with a high level of stochastic noise.

Journal Article↗

Rapid Generation of Reverse Genetics Systems for Coronavirus Research and High-Throughput Antiviral Screening Using Gibson DNA Assembly.

Coronaviruses (CoVs) pose a significant threat to human health, as demonstrated by the COVID-19 pandemic. The large size of the CoV genome (around 30 kb) represents a major obstacle to the development of reverse genetics systems, which are invaluable for basic research and antiviral drug screening. In this study, we established a rapid and convenient method for generating reverse genetic systems for various CoVs using a bacterial artificial chromosome (BAC) vector and Gibson DNA assembly. Using this system, we constructed infectious cDNA clones of coronaviruses from three genera: human coronavirus 229E (HCoV-229E) of the genus Alphacoronavirus, mouse hepatitis virus A59 (MHV-59) of Betacoronavirus, and porcine deltacoronavirus (PDCoV-Haiti) of Deltacoronavirus. Since beta coronaviruses including severe acute respiratory syndrome coronavirus (SARS-CoV), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and Middle East respiratory syndrome coronavirus (MERS-CoV) represent major human pathogens, we modified the infectious clone of the beta coronavirus MHV-A59 by replacing its NS5a gene with a fluorescent reporter gene to create a system suitable for high-throughput drug screening. Thus, this study provides a practical and cost-effective approach to developing reverse genetics platforms for CoV research and antiviral drug screening.

Reverse Genetics↗

Combinatorial materials synthesis and high-throughput screening: an integrated materials chip approach to mapping phase diagrams and discovery and optimization of functional materials.

Combinatorial materials synthesis methods and high-throughput evaluation techniques have been developed to accelerate the process of materials discovery and optimization and phase-diagram mapping. Analogous to integrated circuit chips, integrated materials chips containing thousands of discrete different compositions or continuous phase diagrams, often in the form of high-quality epitaxial thin films, can be fabricated and screened for interesting properties. Microspot x-ray method, various optical measurement techniques, and a novel evanescent microwave microscope have been used to characterize the structural, optical, magnetic, and electrical properties of samples on the materials chips. These techniques are routinely used to discover/optimize and map phase diagrams of ferroelectric, dielectric, optical, magnetic, and superconducting materials.

Combinatorial Chemistry Techniques↗

A high-throughput assay for measurement of multidrug resistance protein-mediated transport of leukotriene C4 into membrane vesicles.

This study investigated a high-throughput assay to measure multidrug resistance-associated protein (MRP1)-mediated uptake into membrane vesicles. Typically, a rapid filtration technique using a 12-filter vacuum manifold is used. We report here the development of a 96-well microtiter dish assay. MRP1-transfected HeLa cells (HeLa-T5) were used for the membrane vesicle preparations. The uptake of 50nM [3H]leukotriene C(4) (LTC(4)) was measured in a 96-well microtiter dish with rapid filtration onto a Perkin Elmer unifilter GF/B plate using a Perkin Elmer Filtermate 196. Counting of the isotype was conducted with a Perkin Elmer Top Count NXT. Uptake was adenosine 5'-triphosphate-dependent and linear over a 120-s time course. Uptake was inhibited by the leukotriene D(4) antagonist, MK 571, with a k(i) of 0.67 microM, and by the anti-MRP1 monoclonal antibody QCRL-3 but not by QCRL-1. Inhibition by estradiol-17-beta-glucuronide was 35-fold greater than inhibition by estradiol-3-beta-glucuronide. The kinetic parameters for LTC(4) uptake were determined to be a K(m) of 157nM with a V(max) of 344pmol/min/mg protein. The properties of MRP1-mediated transport of LTC(4) are consistent with those previously reported. The microtiter dish assay is a more expedient method for measuring transport into membrane vesicles and will have applications to other transporters.

Adenosine Triphosphate↗

The Southeast Collaboratory for Structural Genomics: a high-throughput gene to structure factory.

The Southeast Collaboratory for Structural Genomics consists of four working groups. The protein production group supplies/develops high-output production of Pyrococcus furiosus, Caenorhabditis elegans, and selected human proteins. The X-ray crystallography group conducts high-throughput structure production in parallel with production-related research/development in nanocrystallization robotics, capillary crystallization cassette, synchrotron/home X-ray instrumentation, sample mounting robotics, data processing and pipelined structure analysis, combined refinement/validation protocols, and direct use of unlabeled native crystals (Direct Crystallography). The NMR group emphasizes/develops sample screening and backbone structure determination from residual dipolar coupling data. The bioinformatics group implements/develops local database interfaces, pipelined sequence/structure information search/updates, and database/bioinformatics toolkits.

Animals↗