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At least 217 records · Page 12Linked to original sources
PubMed2000

A human cDNA library for high-throughput protein expression screening.

We have constructed a human fetal brain cDNA library in an Escherichia coli expression vector for high-throughput screening of recombinant human proteins. Using robot technology, the library was arrayed in microtiter plates and gridded onto high-density filter membranes. Putative expression clones were detected on the filters using an antibody against the N-terminal sequence RGS-His(6) of fusion proteins. Positive clones were rearrayed into a new sublibrary, and 96 randomly chosen clones were analyzed. Expression products were analyzed by SDS-PAGE, affinity purification, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry, and the determined protein masses were compared to masses predicted from DNA sequencing data. It was found that 66% of these clones contained inserts in a correct reading frame. Sixty-four percent of the correct reading frame clones comprised the complete coding sequence of a human protein. High-throughput microtiter plate methods were developed for protein expression, extraction, purification, and mass spectrometric analyses. An enzyme assay for glyceraldehyde-3-phosphate dehydrogenase activity in native extracts was adapted to the microtiter plate format. Our data indicate that high-throughput screening of an arrayed protein expression library is an economical way of generating large numbers of clones producing recombinant human proteins for structural and functional analyses.

Algorithms↗
PubMed2006

One hundred years of high-throughput Drosophila research.

From the beginning, Drosophila was a high-throughput model organism. Unbiased and genome-wide efforts ranging from Morgan's search for spontaneous mutations and subsequent saturating loss-of-function and gain-of-function screens up to more recent techniques such as microarrays, proteomics and cellular assays have been and will continue to be the backbone of Drosophila research. Integrating these large datasets is one of the next challenges. However, once achieved, a plethora of information far exceeding the information content of the singular experiments will be revealed. Several high-throughput techniques and experimental strategies highlighting the unbiased and integrative nature of Drosophila research during the last century will be discussed.

Animals↗
PubMed2002

BeadArray technology: enabling an accurate, cost-effective approach to high-throughput genotyping.

The Human Genome Project has opened the door to personalized medicine, provided that human genetic diversity can be analyzed in a high-throughput and cost-effective way Illumina has developed a genotyping system that combines very high throughput and accuracy with low cost per SNP analysis. The system uses our BeadArray platform, a high level of multiplexing, and modular, scalable automation to meet the requirements for cost-effective, genome-wide linkage disequilibrium studies. As implemented in a high-throughput genotyping service facility at Illumina, the system has a current capacity of one million SNP assays per day and is easily expandable. Each SNP call is associated with a quality score that correlates with accuracy

Cost-Benefit Analysis↗
PubMed2004

Versatile protein biotinylation strategies for potential high-throughput proteomics.

We present intein-mediated approaches for efficient biotinylation of proteins site-specifically. The reactive C-terminal thioester generated from intein-assisted protein splicing (either in vitro or in live cells) served as an attractive and exclusive site for attaching cysteine-containing biotin. Using these novel biotinylation strategies, we were able to efficiently biotinylate many proteins from different biological sources in a potentially high-throughput, high-content fashion. Some of these proteins were subsequently immobilized, in a very simple manner, onto different avidin-functionalized solid surfaces for applications such as protein microarray and surface plasmon resonance (SPR) spectroscopy, highlighting the numerous advantages of using biotin over other tags (e.g., GST, His-tag, etc.) as the method of choice in protein purification/immobilization. In addition, our intein-mediated strategies provided critical advantages over other protein biotinylation strategies in a number of ways. For the first time, we also successfully demonstrated that intein-mediated protein biotinylation proceeded adequately inside both bacterial and mammalian living cells, as well as in a cell-free protein synthesis system. Taken together, our results indicate the versatility of these intein-mediated strategies for potential high-throughput proteomics applications. They may also serve as useful tools for various biochemical and biophysical studies of proteins both in vitro and in vivo.

Biotinylation↗
PubMed2004

Proteome analysis of DNA damage-induced neuronal death using high throughput mass spectrometry.

Isotope-coded affinity tag reagents and high throughput mass spectrometry were used to quantitate changes in the expression of 150 proteins in mouse wild-type (p53(+/+)) cortical neurons undergoing DNA damage-induced death. Immunological techniques confirmed several of the changes in protein expression, but microarray analysis indicated that many of these changes were not accompanied by altered mRNA expression. Proteome analysis revealed perturbations in mitochondrial function, free radical production, and neuritogenesis that were not observed in p53-deficient neurons. Changes in Tau, cofilin, and other proteins recapitulated abnormalities observed in neurodegenerative states in vivo. Additionally, DNA damage caused a p53-dependent decrease in expression of members of the protein kinase A (PKA) signaling pathway. PKA inhibition promoted death in the absence of DNA damage, revealing a novel mechanism by which endogenous down-regulation of PKA signaling may contribute to p53-dependent neuronal death. These data demonstrate the power of high throughput mass spectrometry for quantitative analysis of the neuronal proteome.

Animals↗
PubMed2005

[Identification of ligands for human LOX-1 through fluorescence polarization-based high throughput screening].

AIM: To develop a fluorescence polarization-based high throughput screening and identify ligands for human Lectin-like oxidized low-density lipoprotein receptor-1 (hLOX-1). METHODS: Sequential ultracentrifugation at 4 degrees C from normolipidemic fasting volunteers to obtain low density lipoprotein (LDL), which was modified by CuSO4 (5 micromol x L(-1)) at 37 degrees C for 24 h. The assay was based on the interaction between receptor and ligand, and hLOX-1 was labeled by FITC and bound to its specific ligand, oxLDL. Different reaction time and DMSO concentration were optimized to determine the stability and tolerance of fluorescence polarization (FP) assay. 3 200 compounds were screened in black 384-well microplate by FP-based competitive displacement assay, at excitation filter of 485 nm and emission filter of 530 nm. Z' was used to assess the assay quality. RESULTS: The FP-based HTS was formatted in a 384-well microplate with a Z' factor of 0. 75, and three active compounds for hLOX-1 were identified with IC50 below 40 micromol x L(-1) from total 3 200 compounds. CONCLUSION: The results indicated that the fluorescence polarization assay is stable, sensitive, reproducible and well suited for high throughput screening efforts.

Binding, Competitive↗
PubMed2005

The high-throughput protein-to-structure pipeline at SECSG.

Using a high degree of automation, the crystallography core at the Southeast Collaboratory for Structural Genomics (SECSG) has developed a high-throughput protein-to-structure pipeline. Various robots and automation procedures have been adopted and integrated into a pipeline that is capable of screening 40 proteins for crystallization and solving four protein structures per week. This pipeline is composed of three major units: crystallization, structure determination/validation and crystallomics. Coupled with the protein-production cores at SECSG, the protein-to-structure pipeline provides a two-tiered approach for protein production at SECSG. In tier 1, all protein samples supplied by the protein-production cores pass through the pipeline using standard crystallization screening and optimization procedures. The protein targets that failed to yield diffraction-quality crystals (resolution better than 3.0 A) become tier 2 or salvaging targets. The goal of tier 2 target salvaging, carried out by the crystallomics core, is to produce the target proteins with increased purity and homogeneity, which would render them more likely to yield well diffracting crystals. This is performed by alternative purification procedures and/or the introduction of chemical modifications to the proteins (such as tag removal, methylation, surface mutagenesis, selenomethionine labelling etc.). Details of the various procedures in the pipeline for protein crystallization, target salvaging, data collection/processing and high-throughput structure determination/validation, as well as some examples, are described.

Crystallization↗
PubMed2026

CoSAG-nf: A Scalable Nextflow Pipeline for Co-assembly, Optimization, and Interactive Visualization of High-Throughput Single-Cell Genomes.

MOTIVATION: Single-cell amplified genomes (SAGs) are crucial for resolving intra-population microbial heterogeneity and accurately understanding the metabolic potential of microbial dark matter populations. However, SAGs generated through multiple displacement amplification (MDA) of genomic DNA from single cells with single-copy chromosomes are highly fragmented and prone to contamination, severely hindering high-quality genome reconstruction and functional analysis, which greatly limits their scientific utility. Co-assembly of related SAGs can substantially improve genome quality, but to our knowledge no automated pipeline exists for high-throughput processing, forcing manual implementation of complex workflows that scale poorly to modern dataset sizes. RESULTS: We present CoSAG-nf, an automated high-throughput co-assembly and optimization pipeline for SAGs, implemented following the nf-core framework standards. The pipeline performs alignment-free clustering using sourmash MinHash signatures, then employs iterative tetranucleotide frequency profiling to identify and exclude outlier SAGs from co-assembly groups. CheckM2 quality assessment guides dynamic selection of optimal SAG combinations to optimize genome completeness and minimize contamination. Fully containerized, CoSAG-nf ensures reproducibility and scalability for the high-throughput processing of large-scale SAG datasets across diverse computing environments, including HPC and cloud platforms. The pipeline generates comprehensive HTML reports with quality metrics and taxonomic annotations, providing an end-to-end solution for automated high-throughput single-cell genome reconstruction. AVAILABILITY: CoSAG-nf is freely available under the MIT License at: https://github.com/linfengxu/CoSAG-nf. Archival code repository snapshots are published at zenodo with doi: https://doi.org/10.5281/zenodo.21525244. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Journal Article↗
PubMed2002

Development of combinatorial chemistry methods for coatings: high-throughput screening of abrasion resistance of coatings libraries.

Design, validation, and implementation of an optical spectroscopic system for high-throughput analysis of combinatorially developed protective organic coatings are reported. Our approach replaces labor-intensive coating evaluation steps with an automated system that rapidly analyzes 8 x 6 arrays of coating elements that are discretely deposited on a single plastic substrate. Each coating element of the library is 10 mm in diameter and 2-5 microm thick. Performance of coatings is evaluated with respect to their resistance to wear abrasion because this parameter is one of the primary considerations in end-use applications. Upon testing, the coating materials undergo changes that are impossible to quantitatively predict using existing knowledge. Coatings are abraded using industry-accepted abrasion test methods at a single or multiple abrasion conditions followed by the high-throughput analysis of abrasion-induced light scatter. The developed automated system is optimized for the analysis of diffusively scattered light that corresponds to 0-30% haze. System precision of 0.1-2.5% relative standard deviation provides capability for the reliable ranking of coatings performance. Although the system was implemented for high-throughput screening of combinatorially developed organic protective coatings for automotive applications, it can be applied for a variety of other applications for which materials ranking can be achieved using optical spectroscopic tools.

Journal Article↗
PubMed2003

High-throughput expression, purification, and characterization of recombinant Caenorhabditis elegans proteins.

Modern proteomics approaches include techniques to examine the expression, localization, modifications, and complex formation of proteins in cells. In order to address issues of protein function in vitro using classical biochemical and biophysical approaches, high-throughput methods of cloning the appropriate reading frames, and expressing and purifying proteins efficiently are an important goal of modern proteomics approaches. This process becomes more difficult as functional proteomics efforts focus on the proteins from higher organisms, since issues of correctly identifying intron-exon boundaries and efficiently expressing and solubilizing the (often) multi-domain proteins from higher eukaryotes are challenging. Recently, 12,000 open-reading-frame (ORF) sequences from Caenorhabditis elegans have become available for functional proteomics studies [Nat. Gen. 34 (2003) 35]. We have implemented a high-throughput screening procedure to express, purify, and analyze by mass spectrometry hexa-histidine-tagged C. elegans ORFs in Escherichia coli using metal affinity ZipTips. We find that over 65% of the expressed proteins are of the correct mass as analyzed by matrix-assisted laser desorption MS. Many of the remaining proteins indicated to be "incorrect" can be explained by high-throughput cloning or genome database annotation errors. This provides a general understanding of the expected error rates in such high-throughput cloning projects. The ZipTip purified proteins can be further analyzed under both native and denaturing conditions for functional proteomics efforts.

Animals↗
PubMed2000

Bioanalytical high-throughput selected reaction monitoring-LC/MS determination of selected estrogen receptor modulators in human plasma: 2000 samples/day.

The high-throughput determination of small molecules in biological matrixes has become an important part of drug discovery. This work shows that increased throughput LC/MS/MS techniques can be used for the analysis of selected estrogen receptor modulators in human plasma where more than 2000 samples may be analyzed in a 24-h period. The compounds used to demonstrate the high-throughput methodology include tamoxifen, raloxifene, 4-hydroxytamoxifen, nafoxidine, and idoxifene. Tamoxifen and raloxifene are used in both breast cancer therapy and osteoporosis and have shown prophylactic potential for the reduction of the risk of breast cancer. The described strategy provides LC/MS/MS separation and quantitation for each of the five test articles in control human plasma. The method includes sample preparation employing liquid-liquid extraction in the 96-well format, an LC separation of the five compounds in less than 30 s, and selected reaction monitoring detection from low nano- to microgram per milliter levels. Precision and accuracy are determined where each 96-well plate is considered a typical "tray" having calibration standards and quality control (QC) samples dispersed through each plate. A concept is introduced where 24 96-well plates analyzed in 1 day is considered a "grand tray", and the method is cross-validated with standards placed only at the beginning of the first plate and the end of the last plate. Using idoxifene-d5 as an internal standard, the results obtained for idoxifene and tamoxifen satisfy current bioanalytical method validation criteria on two separate days where 2112 and 2304 samples were run, respectively. Method validation included 24-h autosampler stability and one freeze-thaw cycle stability for the extracts. Idoxifene showed acceptable results with accuracy ranging from 0.3% for the high quality control (QC) to 15.4% for the low QC and precision of 3.6%-13.9% relative standard deviation. Tamoxifen showed accuracy ranging from 1.6% to 13.8% and precision from 7.8% to 15.2%. The linear dynamic range for these compounds was 3 orders of magnitude. The limit of quantification was 5 and 50 ng/ mL for tamoxifen and idoxifene, respectively. The other compounds in this study in general satisfy the more relaxed bioanalytical acceptance criteria for modern drug discovery. It is suggested that the quantification levels reported in this high-throughput analysis example are adequate for many drug discovery and related early pharmaceutical studies.

Chromatography, Liquid↗
PubMed2001

Fast characterization of intact proteins using a high-throughput eight-channel parallel liquid chromatography/mass spectrometry system.

The preparation of protein substrates requires that a large number of chromatographic fractions be analyzed for the presence of reactants, products and by-products. Analyses using linear matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) or single column liquid chromatography/mass spectrometry (LC/MS) have been inadequate because of mass resolution or throughput. Therefore, a high-throughput method employing an eight-channel parallel reverse-phase LC/MS system was developed. This system is capable of screening fractions from preparative ion-exchange chromatography with the required mass accuracy and throughput so that the protein purification process can be monitored in a relatively short period of time. As an example, the purification and analysis of an acylated protein with a molecular weight of 8.9 kDa is described and the detection of a contaminating by-product that differs in size by less than 20 Da is demonstrated. Using the current instrumentation and approach, it is practical to analyze 50 protein-containing fractions from column chromatography in less than 1 hour using parallel LC/MS.

Acyl Carrier Protein↗
PubMed2007

Alternative statistical parameter for high-throughput screening assay quality assessment.

High-throughput screening is an essential process in drug discovery. The ability to identify true active compounds depends on the high quality of assays and proper analysis of data. The Z factor, presented by Zhang et al. in 1999, provides an easy and useful summary of assay quality and has been a widely accepted standard. However, as data analysis has undergone much improvement recently, the assessment of assay quality has not evolved in parallel. In this article, the authors study the implications of Z factor values under different conditions and link the Z factor with the power of discovering true active compounds. They discuss the different interpretations of Z factor depending on error distributions and advocate direct analysis of power as assay quality assessment. They also propose that in estimating assay quality parameters, adjustments in data analysis should be taken into account. Studying the power of identifying true "hits" gives a more direct interpretation of assay quality and may provide guidance in assay optimization on some occasions.

Chemistry, Pharmaceutical↗
PubMed2006

High-resolution, high-throughput microscopy analyses of nuclear receptor and coregulator function.

Steroid nuclear receptors are ligand-dependent transcription factors that have been studied since the early 1960s by principally biochemical and reporter assay approaches. From these studies an elegant and complex model of nuclear receptor transcription regulation has been developed. Inherent to both biochemical and reporter assay approaches is the generation of averaged responses and it is not generally considered that individual cells could exhibit quite varied responses. In some cases, recent microscopic single-cell analyses provide markedly different responses relative to traditional approaches based on population averaging and underscore the need to continue refinement of the current model of nuclear receptor-regulated transcription. While single-cell analyses of nuclear receptor action have been hindered by the predominantly qualitative nature of the approach, high-throughput microscopy is now available to resolve this issue. This chapter demonstrates the utility of high-throughput microscopic analyses of nuclear receptor and nuclear receptor coregulator function. The ability of high-throughput microscopy to generate physiologically appropriate test populations by filtering based on morphological and protein of interest expression criteria is demonstrated. High-resolution, high-throughput microscopy is illustrated that provides quantitative subcellular information for both androgen and estrogen receptors. Efforts are ongoing to develop model systems that provide additional multiplex data and with refined image analyses to achieve true high-content imaging screens.

Algorithms↗
PubMed2004

Understanding protein dispensability through machine-learning analysis of high-throughput data.

MOTIVATION: Protein dispensability is fundamental to the understanding of gene function and evolution. Recent advances in generating high-throughput data such as genomic sequence data, protein-protein interaction data, gene-expression data and growth-rate data of mutants allow us to investigate protein dispensability systematically at the genome scale. RESULTS: In our studies, protein dispensability is represented as a fitness score that is measured by the growth rate of gene-deletion mutants. By the analyses of high-throughput data in yeast Saccharomyces cerevisiae, we found that a protein's dispensability had significant correlations with its evolutionary rate and duplication rate, as well as its connectivity in protein-protein interaction network and gene-expression correlation network. Neural network and support vector machine were applied to predict protein dispensability through high-throughput data. Our studies shed some lights on global characteristics of protein dispensability and evolution. AVAILABILITY: The original datasets for protein dispensability analysis and prediction, together with related scripts, are available at http://digbio.missouri.edu/~ychen/ProDispen/ CONTACT: xudong@missouri.edu.

Artificial Intelligence↗
PubMed2006

High-throughput functional genomic methods to analyze the effects of dietary lipids.

The applications of 'omics' (genomics, transcriptomics, proteomics and metabolomics) technologies in nutritional studies have opened new possibilities to understand the effects and the action of different diets both in healthy and diseased states and help to define personalized diets and to develop new drugs that revert or prevent the negative dietary effects. Several single nucleotide polymorphisms have already been investigated for potential gene-diet interactions in the response to different lipid diets. It is also well-known that besides the known cellular effects of lipid nutrition, dietary lipids influence gene expression in a tissue, concentration and age-dependent manner. Protein expression and post-translational changes due to different diets have been reported as well. To understand the molecular basis of the effects and roles of dietary lipids high-throughput functional genomic methods such as DNA- or protein microarrays, high-throughput NMR and mass spectrometry are needed to assess the changes in a global way at the genome, at the transcriptome, at the proteome and at the metabolome level. The present review will focus on different high-throughput technologies from the aspects of assessing the effects of dietary fatty acids including cholesterol and polyunsaturated fatty acids. Several genes were identified that exhibited altered expression in response to fish-oil treatment of human lung cancer cells, including protein kinase C, natriuretic peptide receptor-A, PKNbeta, interleukin-1 receptor associated kinase-1 (IRAK-1) and diacylglycerol kinase genes by using high-throughput quantitative real-time PCR. Other results will also be mentioned obtained from cholesterol and polyunsaturated fatty acid fed animals by using DNA- and protein microarrays.

Animals↗
PubMed2002

The genesis of high-throughput structure-based drug discovery using protein crystallography.

Over the past 12 years, drugs have been developed using structure-based drug design relying upon traditional crystallographic methods. Established successes, such as the drugs designed against HIV-1 protease and neuraminidase, demonstrate the utility of a structure-based approach in the drug-discovery process. However, the approach has historically lacked throughput and reliability capabilities; these bottlenecks are being overcome by breakthroughs in high-throughput structural biology. Recent technological innovations such as submicroliter high-throughput crystallization, high-performance synchrotron beamlines and rapid binding-site analysis of de novo targets using virtual ligand screening and small molecule co-crystallization have resulted in a significant advance in structure-based drug discovery.

Crystallography, X-Ray↗
PubMed1999

Functional genomics in cancer research: identification of target genes of the Epstein-Barr virus nuclear antigen 2 by subtractive cDNA cloning and high-throughput differential screening using high-density agarose gels.

In the past, the identification and isolation of phenotype-associated genes was a difficult and time-consuming task. However, recent improvements of methods that are designed to isolate differentially expressed genes have remarkably speeded up the process of target gene isolation. The ultimate goal of functional genomics is to apply these technologies to clone phenotype-associated genes irrespective of the availability of probes (e.g., antibodies) and an intimate knowledge of biological background. We demonstrate the use of a novel subtractive cDNA cloning approach for the isolation and characterization of target genes of the Epstein-Barr virus nuclear antigen 2 (EBNA2). Two different subtractive cDNA libraries specific for two different time periods following activation of a conditional estrogen receptor/EBNA2 (ER/EBNA2) fusion protein were generated. Comparison of the two libraries by cross-hybridization experiments allowed the differentiation between direct and indirect target genes of EBNA2 and led to the identification of a novel direct target gene of EBNA2.

Cloning, Molecular↗