Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “high throughput”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 127 records · Page 7Linked to original sources

Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B.

High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug development. When a structure is available for the target, computer-based screening using molecular docking may also be considered. The two techniques have rarely been used together on the same target. The opportunity to do so presented itself in a project to discover novel inhibitors for the enzyme protein tyrosine phosphatase-1B (PTP1B), a tyrosine phosphatase that has been implicated as a key target for type II diabetes. A corporate library of approximately 400 000 compounds was screened using high-throughput experimental techniques for compounds that inhibited PTP1B. Concurrently, molecular docking was used to screen approximately 235 000 commercially available compounds against the X-ray crystallographic structure of PTP1B, and 365 high-scoring molecules were tested as inhibitors of the enzyme. Of approximately 400 000 molecules tested in the high-throughput experimental assay, 85 (0.021%) inhibited the enzyme with IC50 values less than 100 microM; the most active had an IC50 value of 4.2 microM. Of the 365 molecules suggested by molecular docking, 127 (34.8%) inhibited PTP1B with IC50 values less than 100 microM; the most active of these had an IC50 of 1.7 microM. Structure-based docking therefore enriched the hit rate by 1700-fold over random screening. The hits from both the high-throughput and docking screens were dissimilar from phosphotyrosine, the canonical substrate group for PTP1B; the two hit lists were also very different from each other. Surprisingly, the docking hits were judged to be more druglike than the HTS hits. The diversity of both hit lists and their dissimilarity from each other suggest that docking and HTS may be complementary techniques for lead discovery.

Benzene Derivatives↗

Assaying DNA methylation based on high-throughput melting curve approaches.

Here we describe two high-throughput methods to assay DNA methylation, melting curve methylation specific PCR (McMSP) and melting curve combined bisulfite restriction analysis (McCOBRA), which adapt standard MSP and COBRA methods to a melting curve analysis based platform. We show that McMSP and McCOBRA can accurately determine methylation status in a high-throughput and gel-free manner. Moreover, McCOBRA can be used to quantitatively estimate the percent of methylated DNA at a specific CpG site within a heterogeneous sample. The accuracy of McMSP and McCOBRA was initially tested using the 5'-CpG site of the tumor-suppressor gene CDKN2A as a model system in homogeneous and heterogeneous controls, and cancer cell line samples. Furthermore, the robustness of McMSP and McCOBRA was validated in four additional loci. We demonstrate that McCOBRA and McMSP provide several advantages over existing methods, as they are simple, accurate, and high-throughput, which makes them widely applicable to large-scale methylation studies.

DNA↗

A fully integrated high-throughput screening methodology for the discovery of new polyolefin catalysts: discovery of a new class of high temperature single-site group (IV) copolymerization catalysts.

For the first time, new catalysts for olefin polymerization have been discovered through the application of fully integrated high-throughput primary and secondary screening techniques supported by rapid polymer characterization methods. Microscale 1-octene primary screening polymerization experiments combining arrays of ligands with reactive metal complexes M(CH(2)Ph)(4) (M = Zr, Hf) and multiple activation conditions represent a new high-throughput technique for discovering novel group (IV) polymerization catalysts. The primary screening methods described here have been validated using a commercially relevant polyolefin catalyst, and implemented rapidly to discover the new amide-ether based hafnium catalyst [eta(2)-(N,O)[bond](2-MeO[bond]C(6)H(4))(2,4,6-Me(3)C(6)H(2))N]Hf(CH(2)Ph)(3) (1), which is capable of polymerizing 1-octene to high conversion. The molecular structure of 1 has been determined by X-ray diffraction. Larger scale secondary screening experiments performed on a focused 96-member amine-ether library demonstrated the versatile high temperature ethylene-1-octene copolymerization capabilities of this catalyst class, and led to significant performance improvements over the initial primary screening discovery. Conventional one gallon batch reactor copolymerizations performed using selected amide-ether hafnium compounds confirmed the performance features of this new catalyst class, serving to fully validate the experimental results from the high-throughput approaches described herein.

Journal Article↗

An automated high performance capillary liquid chromatography-Fourier transform ion cyclotron resonance mass spectrometer for high-throughput proteomics.

We describe a fully automated high performance liquid chromatography 9.4 tesla Fourier transform ion resonance cyclotron (FTICR) mass spectrometer system designed for proteomics research. A synergistic suite of ion introduction and manipulation technologies were developed and integrated as a high-performance front-end to a commercial Bruker Daltonics FTICR instrument. The developments incorporated included a dual-ESI-emitter ion source; a dual-channel electrodynamic ion funnel; tandem quadrupoles for collisional cooling and focusing, ion selection, and ion accumulation, and served to significantly improve the sensitivity, dynamic range, and mass measurement accuracy of the mass spectrometer. In addition, a novel technique for accumulating ions in the ICR cell was developed that improved both resolution and mass measurement accuracy. A new calibration methodology is also described where calibrant ions are introduced and controlled via a separate channel of the dual-channel ion funnel, allowing calibrant species to be introduced to sample spectra on a real-time basis, if needed. We also report on overall instrument automation developments that facilitate high-throughput and unattended operation. These included an automated version of the previously reported very high resolution, high pressure reversed phase gradient capillary liquid chromatography (LC) system as the separations component. A commercial autosampler was integrated to facilitate 24 h/day operation. Unattended operation of the instrument revealed exceptional overall performance: Reproducibility (1-5% deviation in uncorrected elution times), repeatability (<20% deviation in detected abundances for more abundant peptides from the same aliquot analyzed a few weeks apart), and robustness (high-throughput operation for 5 months without significant downtime). When combined with modulated-ion-energy gated trapping, the dynamic calibration of FTICR mass spectra provided decreased mass measurement errors for peptide identifications in conjunction with high resolution capillary LC separations over a dynamic range of peptide peak intensities for each spectrum of 10(3), and >10(5) for peptide abundances in the overall separation.

Amino Acid Sequence↗

High-throughput method for the production and analysis of large natural product libraries for drug discovery.

High-throughput methods were applied to the production, analysis, and characterization of libraries of natural products in order to accelerate the drug discovery process for high-throughput screening in the pharmaceutical and biotechnology industries. Library production integrates automated flash chromatography, solid-phase extraction, filtration, and high-throughput parallel four-channel preparative high-performance liquid chromatography to obtain the libraries in 96- or 384-well plates. Libraries consist of purified fractions with approximately one to five compounds per well. Libraries are analyzed prior to biological screening by a high-throughput parallel eight-channel liquid chromatography-evaporative light scattering detection-mass spectrometry system to determine the molecular weight, number, and quantity of compounds in a fraction. After biological screening, active fractions are rapidly purified at the microgram level and individual compounds are rescreened for confirmation of activity. Structures of active compounds are elucidated by NMR spectroscopy and mass spectrometry. Utilization of a novel microcoil probe allows NMR data to be gathered on 50 microg. As a demonstration, a library was made from the stem bark of Taxus brevifolia. Biological screening in the National Cancer Institute's in vitro panel of three cancer cell lines demonstrates that the process enables the discovery of active anticancer compounds not detected in the flash fractions from which the library originates.

Biological Factors↗

Genome-scale protein function prediction in yeast Saccharomyces cerevisiae through integrating multiple sources of high-throughput data.

As we are moving into the post genome-sequencing era, various high-throughput experimental techniques have been developed to characterize biological systems at the genome scale. Discovering new biological knowledge from high-throughput biological data is a major challenge for bioinformatics today. To address this challenge, we developed a Bayesian statistical method together with Boltzmann machine and simulated annealing for protein function prediction in the yeast Saccharomyces cerevisiae through integrating various high-throughput biological data, including protein binary interactions, protein complexes and microarray gene expression profiles. In our approach, we quantified the relationship between functional similarity and high-throughput data. Based on our method, 1802 out of 2280 unannotated proteins in the yeast were assigned functions systematically. The related computer package is available upon request.

Bayes Theorem↗

Filtering high-throughput protein-protein interaction data using a combination of genomic features.

BACKGROUND: Protein-protein interaction data used in the creation or prediction of molecular networks is usually obtained from large scale or high-throughput experiments. This experimental data is liable to contain a large number of spurious interactions. Hence, there is a need to validate the interactions and filter out the incorrect data before using them in prediction studies. RESULTS: In this study, we use a combination of 3 genomic features -- structurally known interacting Pfam domains, Gene Ontology annotations and sequence homology -- as a means to assign reliability to the protein-protein interactions in Saccharomyces cerevisiae determined by high-throughput experiments. Using Bayesian network approaches, we show that protein-protein interactions from high-throughput data supported by one or more genomic features have a higher likelihood ratio and hence are more likely to be real interactions. Our method has a high sensitivity (90%) and good specificity (63%). We show that 56% of the interactions from high-throughput experiments in Saccharomyces cerevisiae have high reliability. We use the method to estimate the number of true interactions in the high-throughput protein-protein interaction data sets in Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens to be 27%, 18% and 68% respectively. Our results are available for searching and downloading at http://helix.protein.osaka-u.ac.jp/htp/. CONCLUSION: A combination of genomic features that include sequence, structure and annotation information is a good predictor of true interactions in large and noisy high-throughput data sets. The method has a very high sensitivity and good specificity and can be used to assign a likelihood ratio, corresponding to the reliability, to each interaction.

Animals↗

Festina lente: late-night thoughts on high-throughput screening of mouse behavior.

A recent perspective discussed high-throughput behavioral analysis using mice, giving the overall impression that this area is lagging behind in neuroscience and biomedical research. Not only are we more optimistic about the current state of the art in behavioral neuroscience and its promise, but we also have reservations about whether high-throughput analysis is always an appropriate goal for most behavioral studies. We argue that behavioral studies should be carried out with clear goals and more regard to the intellectual context in which they have developed. In addition, behavioral studies can be performed quite easily, but this does not ensure the required validity or reliability of the particular tests used. Finally, high throughput may not always be an appropriate goal. We discuss the role of automated data collection and unique data-mining algorithms, and the question of the ethological relevance of behavioral tests.

Algorithms↗

High-throughput conformation-sensitive gel electrophoresis for discovery of SNPs.

High-throughput screening for single nucleotide polymorphisms (SNPs) or mutations can be achieved by inexpensive technologies. We modified the original protocols of conformation-sensitive gel electrophoresis (CSGE) to increase throughput several fold to 1.3 samples/min, which is about five times faster than denaturing high-performance liquid chromatography (DHPLC). The modifications include decreasing the gel thickness, increasing the number of lanes to 96, and increasing the number of samples per lane to seven. This high-throughput CSGE method is fast, robust, and as simple as the original protocols. Together with a two-stage strategy for screening homozygotes and the replacement of ethidium bromide with SYBR Gold DNA dye staining, this protocol is a reliable and cost-effective alternative for laboratories that require high-throughput screening.

Heterozygote↗

Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data.

MOTIVATION: High-throughput and high-resolution mass spectrometry instruments are increasingly used for disease classification and therapeutic guidance. However, the analysis of immense amount of data poses considerable challenges. We have therefore developed a novel method for dimensionality reduction and tested on a published ovarian high-resolution SELDI-TOF dataset. RESULTS: We have developed a four-step strategy for data preprocessing based on: (1) binning, (2) Kolmogorov-Smirnov test, (3) restriction of coefficient of variation and (4) wavelet analysis. Subsequently, support vector machines were used for classification. The developed method achieves an average sensitivity of 97.38% (sd = 0.0125) and an average specificity of 93.30% (sd = 0.0174) in 1000 independent k-fold cross-validations, where k = 2, ..., 10. AVAILABILITY: The software is available for academic and non-commercial institutions.

Algorithms↗

The reduced graph descriptor in virtual screening and data-driven clustering of high-throughput screening data.

Virtual screening and high-throughput screening are two major components of lead discovery within the pharmaceutical industry. In this paper we describe improvements to previously published methods for similarity searching with reduced graphs, with a particular focus on ligand-based virtual screening, and describe a novel use of reduced graphs in the clustering of high-throughput screening data. Literature methods for reduced graph similarity searching encode the reduced graphs as binary fingerprints, which has a number of issues. In this paper we extend the definition of the reduced graph to include positively and negatively ionizable groups and introduce a new method for measuring the similarity of reduced graphs based on a weighted edit distance. Moving beyond simple similarity searching, we show how more flexible queries can be built using reduced graphs and describe a database system that allows iterative querying with multiple representations. Reduced graphs capture many important features of ligand-receptor interactions and, in conjunction with other whole molecule descriptors, provide an informative way to review HTS data. We describe a novel use of reduced graphs in this context, introducing a method we have termed data-driven clustering, that identifies clusters of molecules represented by a particular whole molecule descriptor and enriched in active compounds.

Journal Article↗

Mixing small volumes for continuous high-throughput flow cytometry: performance of a mixing Y and peristaltic sample delivery.

BACKGROUND: Online mixing for continuous high-throughput flow cytometry has not been previously described. A simple, general high-throughput method for mixing and delivery of submicroliter volumes in laminar flow at low Reynolds numbers would be widely useful. MATERIALS AND METHODS: We describe a micromixing approach that is compatible with commercial autosamplers, flow cytometry, and other detection schemes that require mixing of components that have been introduced into laminar flow. The scheme is based on a previous approach to high-throughput flow cytometry (HyperCyt, Kuckuck et al.: Cytometry 44:83-90, 2001). We showed that samples from multiwell plates that have been picked up by an autosampler can be separated during delivery by the small air bubbles introduced during the transit of the autosampler probe from well to well. Here, a particle sample flowing continuously is brought together in a Y with reagent samples from wells, which have been separated by bubbles. RESULTS: In the effluent stream, the particles and reagents are mixed, most likely as a result of peristaltic action, and reagents from individual wells can be resolved. The sample volumes that can be mixed with this technology are submicroliter in volume, and samples can be mixed at rates up to at least 100/samples per minute. With the current device, carryover between samples can be eliminated if the mixing system is flushed with several volumes of buffer. The anticipated throughput for screening is expected to be at least 20 samples per minute. CONCLUSIONS: The high-throughput approach and peristaltic mixing in HyperCytTM serve to integrate autosamplers with submicroliter detection volumes for analysis in flow cytometry or in microfluidic channels.

Avidin↗

A chemoinformatics analysis of hit lists obtained from high-throughput affinity-selection screening.

The high-throughput affinity-selection screening platform SpeedScreen was recently reported by the Novartis Institutes for BioMedical Research as a homogeneous, label-free screening technology with mass-spectrometry readout. SpeedScreen relies on the screening of compound mixtures with various target proteins and uses fast size-exclusion chromatography to separate target-bound from unbound substances. After disintegration of the target-binder complex, the binder molecules are identified by their molecular masses using liquid chromatography/mass spectrometry. The authors report an analysis of the molecular properties of hits obtained with SpeedScreen on 26 targets screened within the past few years at Novartis using this technology. Affinity-based SpeedScreen is a robust high-throughput screening technology that does not accumulate frequent hitters or potential covalent binders. The hits are representative of the most commonly identified scaffold classes observed for known drugs. Validated SpeedScreen hits tend to be enriched on more lipophilic and larger-molecular-weight compounds compared to the whole library. The potential for a reduced SpeedScreen screening set to be used in case only limited protein quantities are available is evaluated. Such a reduced compound set should also maximize the coverage of the high-performing regions of the chemical property and class spaces; chemoinformatics methods including genetic algorithms and divisive K-means clustering are used for this aim.

Chromatography, High Pressure Liquid↗

High-throughput liquid-chromatography method with fluorescence detection for reciprocal determination of furosemide or norfloxacin in human plasma.

A simple, high-throughput, highly selective and sensitive HPLC-FLD method for isolation and determination of furosemide and/or norfloxacin in human plasma samples following a simple organic solvent deproteinization step with acetonitrile as sample 'clean-up' procedure is reported. One of the two drug substances plays the internal standard role for the determination of the other. Separation of analyte and internal standard was achieved in less than 5.3 min (injection to injection) on a Chromolith Performance RP-18e column, using an aqueous component containing 0.015 mol/L sodium heptane-sulfonate and 0.2% triethylamine brought to pH = 2.5 with H(3)PO(4). The composition of the mobile phase was: acetonitrile-methanol-aqueous component = 70:15:15 (v/v/v) and the flow-rate was set up to 3 mL/min. The chromatographic method applied to the determination of furosemide relies on fluorescent detection parameters of 235 nm for the excitation wavelength, and 402 nm for the emission wavelength. In case of norfloxacin, the excitation wavelength is set up to 268 nm and the emission wavelength is set up to 445 nm. The overall method leads to quantitation limits of about 27 ng/mL for furosemide, and 19.5 ng/mL for norfloxacin, using an injection volume of 250 microL. The method was applied to the bioequivalence study of two furosemide-containing formulations.

Chromatography, High Pressure Liquid↗

Tissue microarrays for miniaturized high-throughput molecular profiling of tumors.

New high-throughput screening technologies such as complementary (cDNA) microarrays allow identification of hundreds of candidate genes in one experiment. To prioritize the leads obtained in such studies, it is necessary to analyze a large number of tissues for candidate gene expression. Tissue microarray (TMA) technology greatly facilitates such analyses. In this method, hundreds of minute tissue samples (0.6-mm diameter) can be placed on one microscope glass slide. The TMA approach allows simultaneous analysis of all tissues with in situ methods (immunohistochemistry, fluorescence in situ hybridization, RNA in situ hybridization) of all tumors in one experiment under highly standardized conditions. TMAs are not restricted to solid tumors but can be manufactured from a variety of other sources, including cell lines, xenografts, and hematologic tissues. In addition to tumor type-specific applications that comprise large numbers of one particular tumor type with extensive histopathologic and clinical data, TMAs are well suited for large-scale molecular epidemiologic studies. For example, genes of interest can be analyzed in multitissue TMAs containing a variety of different human normal tissues and tumor entities. Once tumor types are identified, where a given molecular alteration plays a role, the clinical significance of this molecular alteration can be investigated on tumor-specific TMAs. Thus, TMA technology allows miniaturized high-throughput molecular epidemiologic studies. The TMA technique will markedly accelerate the transition from basic research to clinical applications.

Gene Expression Profiling↗

[Tissue microarrays. High-throughput procedures to verify potential biomarkers].

High-throughput molecular screening tools have created a need for equally rapid means to verify potential biomarkers. Tissue microarray (TMA) technology facilitates effective analysis on the protein level. Hundreds of 0.6-mm-diameter tissue samples are placed on a single standard glass slide. This approach allows analysis with different in situ methods of all tissue samples in one experiment under standardized conditions. TMAs are not only perfectly suited for molecular epidemiologic studies if applied on multitumor arrays composed of a variety of tumor entities, but they are also used for tumor-specific investigations of molecular markers. In this report the technical aspects of TMAs as a miniaturized high-throughput technology are described. We further demonstrate how the TMA technique will help to accelerate the transition from basic research to clinical application in prostate cancer disease.

Biomarkers, Tumor↗

DNA sequencing using rolling circle amplification and precision glass syringes in a high-throughput liquid handling system.

An automated high-throughput method that employs rolling circle amplification (RCA) to generate template for large-scale DNA sequencing has been developed using liquid handling systems equipped with precision glass syringes. A protocol was designed to perform the sequencing analysis from template preparation to thermal cycle sequencing within the same vessel, thus minimizing the amount of liquid handling and transfer. The amplified DNA was directly used for cycle sequencing with no need for any purification procedures. Total RCA reaction volumes as low as 500 nL generated sufficient templates for successful sequencing. Reducing the RCA total reaction volumes by a 40-fold factor, from a total of 20 microL to 500 nL, resulted in a significant reduction in cost, from $1.25/reaction to less than $0.04/reaction. Additionally, the volume of the sequencing reactions was reduced from a total of 20 to 10 microL, thus generating a further cost advantage. This high-throughput DNA sequencing protocol maximizes the speed and precision of processing while significantly reducing the cost of amplification.

Algorithms↗

An automated fluorescent single strand conformation polymorphism technique for high throughput mutation screening.

OBJECTIVE: To develop a high throughput mutational detection method by multiple fluorescence-labeled polymerase chain reaction (PCR) products. METHODS: A total of 27 known mutations including 22 substitutions, 3 insertions (1, 2 and 7 bp) and 2 deletions (1 and 2 bp) in the hepatocyte nuclear factor (HNF)-4 alpha, glucokinase and HNF-1 alpha genes were tested. During nested PCR, amplified fragments were labeled with three fluorescent dyes. PCR products were visualized with an ABI-377 fluorescence sequencer using 5% glycerol or 10% sucrose in non-denaturing gel conditions. RESULTS: Twenty-five of 27 variants (93%) could be detected by combining 5% glycerol and 10% sucrose gel matrix conditions. Twenty-two of 27 (82%) and 18 of 27 (67%) variants were identified using 5% glycerol and 10% sucrose conditions, respectively. CONCLUSION: This fluorescence-based PCR single strand conformation polymorphism technique represents a simple, non-hazardous, time-saving and sensitive method for high throughput mutation detection.

Basic Helix-Loop-Helix Leucine Zipper Transcriptio↗