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PubMedDate not supplied

Fluorescence spectroscopy and multivariate spectral descriptor analysis for high-throughput multiparameter optimization of polymerization conditions of combinatorial 96-microreactor arrays.

Selection of optimum process conditions in combinatorial microreactors is essential if the combinatorial synthesis process is to be correlated with the synthesis process on a more conventional scale and the materials are to have the desired chemical properties. We have developed a new methodology for the high-throughput multiparameter optimization of polymerization reaction conditions in arrays of microreactors. Our strategy is based on the application of nondestructive spectroscopic techniques to measure chemical properties of polymers directly in individual microreactors followed by the multivariate spectral descriptor analysis for rapid determination of the optimal process conditions. We have demonstrated our strategy in the high-throughput multiparameter optimization of process conditions in thin-film melt polymerization reactions performed in 96-microreactor arrays for combinatorial screening of new polymerization catalysts. The combinatorial polymerization system was optimized for the best processing parameters using a set of input variables that included reactant parameters (relative amounts of starting components and catalyst loading) and processing variables (reaction time, reaction temperature, and inert gas flow rate). The measured output parameters were the chemical properties of materials and reproducibility of the material formation in replicate polymerizations in microreactors. Spatially resolved nondestructive evaluation of polymer formation was performed directly in individual microreactors and provided information about the spatial homogeneity of polymers in microreactors. It showed to be another powerful indicator of the reproducible polymerization process on the combinatorial scale. Although the methodology described here was implemented for high-throughput optimization of polymerization conditions, it is more general and can be further implemented for a variety of applications in which optimization of process parameters can be studied in situ or off-line using spectroscopic and other tools.

Journal Article↗
PubMed2001

Thymidine incorporation is highly predictive of colony formation and can be used for high-throughput screening.

The primary goal of anticancer chemotherapy is to kill cancer cells. Therefore, it is of critical importance that any assay that is used to determine the toxicity of a potential anticancer drug accurately measures viability. While colony formation is widely regarded as the most accurate measure of viability following drug treatment, it is laborious, time consuming, and difficult to carry out with non-adherent cells. For these reasons, it is not suitable for moderate- to high-throughput screening applications. We sought to identify a convenient and reliable assay that would accurately reproduce colony formation results and be amenable to high-throughput applications. Here, we describe a modification of the 3H-thymidine incorporation assay that meets these criteria. The assay can be carried out in 96-well plates with minimal handling of reagents and media. It can be performed with non-adherent and adherent cell lines. Most importantly, LC50 values obtained with this assay show excellent agreement with colony formation results. Taken together, these advantages make the modified 3H-thymidine incorporation assay well suited for high-throughput viability assays in anticancer drug discovery and development.

Animals↗
PubMed2002

A new vector for high-throughput, ligation-independent cloning encoding a tobacco etch virus protease cleavage site.

To establish high-throughput methods for protein crystallography, all aspects of the production and analysis of protein crystals must be accelerated. Automated, plate-based methods for cloning, expression, and evaluation of target proteins will help researchers investigate the vast numbers of proteins now available from sequenced genomes. Ligation-independent cloning (LIC) is well suited to robotic cloning and expression, but few LIC vectors are available commercially. We have developed a new LIC vector, pMCSG7, that incorporates the tobacco etch virus (TEV) protease cleavage site into the leader sequence. This protease is highly specific and functions under a wide range of conditions. The new vector incorporates an N-terminal his-tag followed by the TEV protease recognition site and a SspI restriction site used for LIC. The vector functioned as expected, giving high cloning efficiencies and strong expression of proteins. Purification and cleavage of a target protein showed that the his-tag and the TEV cleavage site function properly. The protein was purified and cleaved under different conditions to simulate both plate-based screening methods and large-scale purifications for crystal production. The vector also includes a pair of adjacent, unique restriction sites that will allow insertion of additional modules between the his-tag and the cleavage site of the leader sequence to generate a family of vectors suitable for high-throughput production of proteins.

Amino Acid Sequence↗
PubMed2005

A high-throughput method for quantifying gene expression data from early Drosophila embryos.

We describe an automated high-throughput method to measure protein levels in single nuclei in blastoderm embryos of Drosophila melanogaster by means of immunofluorescence. The method consists of a chain of specific algorithms assembled into an image processing pipeline. This pipeline transforms a confocal scan of an embryo stained with fluorescently tagged antibodies into a text file. This text file contains a numerical identifier for each nucleus, the coordinates of its centroid, and the average concentrations of three proteins in that nucleus. The central algorithmic component of the method is the automatic identification of nuclei by edge detection with the use of watersheds as an error-correction step. This method provides high-throughput quantification at cellular resolution.

Algorithms↗
PubMedDate not supplied

UV-triggered main-component fraction collection method and its application for high-throughput chromatographic purification of combinatorial libraries.

A maximum-seeking, algorithm-driven fraction collection method was developed to support high-throughput chromatographic purification, which provides new possibilities for off-line high-performance liquid chromatography mass spectroscopy (HPLC/MS) quality control experiments. The method is based on manipulation of a six-port valve that is installed downstream from the UV detector and equipped with a fraction collector loop. The detector signal is monitored by a programmable microcontroller that controls the state of the fraction collector valve. After detecting a chromatographic peak, the appropriate fraction is stored in the collector loop. The height of the next peak is compared to the previous one (using a maximum-seeking algorithm) and, depending on the result, the collected fraction is or is not exchanged with the new one. At the end of the run, the stored UV main component is pumped into the external fraction vial. This configuration was used for chromatographic purification of large compound libraries (the results of the purification of 5324 compounds are reported here), as well as for high-throughput off-line HPLC quality control experiments, where the collected main component fractions of an analytical-scale separation were subjected to further mass spectrometric molecular weight verification.

Algorithms↗
PubMed1999

High-throughput extraction, amplification, and detection (HEAD) of HCV-RNA in individual blood donations.

BACKGROUND: High-throughput nucleic acid amplification techniques (NATs) are required for the detection of viral genomes in individual blood donations and might be helpful in any virological laboratory. OBJECTIVE: To develop and automate a method for the detection of hepatitis C virus RNA in individual blood donations, compatible with the time schedule of routine blood bank screening an product release. STUDY DESIGN: The viral RNA was isolated with the use of target specific capture oligonucleotides and magnetic beads. This extraction method was combined with reverse transcription/amplification (RT/PCR) and fluorescence detection. We adapted our method on a pipetting robot and pipetted all steps in a single room. When the pipetting was completed, microtiter plates were heat-sealed with foils and placed into a thermocycler. Positive reactions were detected with a fluorescent dye in a second room. Aerosols were avoided with programmed slow pipetting steps and with a special device constructed for the removal of the used disposable tips. During a 7 month period, we used this method in routine testing of individual donations prior to the release of all blood components. RESULTS: The total number of 11,700 individual donations including platelet concentrates were analysed. We tested up to 192 specimens in one run within 7 h. The frequency of cross-contamination using the automated procedure was 0.1%. Five specimens have been found repeatedly reactive for HCV-RNA, four of these were anti-HCV positive, one sample from a repeat donor was negative in anti-HCV assays. A seroconversion was detectable at his next presentation, 6 months later. CONCLUSION: In this pilot study, we demonstrate that automated HCV-RT-PCR testing is practicable for individual donations in high-throughput. Additionally, the described PCR approach could easily be adapted to the detection of other viral genomes by the use of specific primers.

Automation↗
PubMed2005

High-throughput molecular testing of ticks using a liquid-handling robot.

To meet the need for high-throughput sample testing, DNA extraction kits based on the 96-well plate format have been developed for use with blood and tissue samples. These methods have not been applied to DNA extractions from ticks. To meet this need, we developed a high-throughput method for DNA extraction and polymerase chain reaction (PCR) testing of tick samples. A liquid-handling robot was used to extract DNA in a 96-well binding column plate with vacuum manifold. The quantity, purity, and quality of DNA recovered from Ixodes scapularis Say, 1821 nymphs with this method were reproducible and comparable with existing manual DNA extraction techniques. The DNA yield from pools of five nymphal ticks averaged 0.432 +/- 0.04 microg (95% CI). The robot also prepared real-time PCR reactions in 96-well plates, directly from the extracted DNA. A modification of the existing P20 tool resulted in accurate pipetting of 1- to 2-microl volumes with a reproducibility of +/- 0.038 microl when dispensing 1.0 microl. By using this process, 96 samples can be extracted and tested while reducing human labor to approximately 30 min.

Animals↗
PubMed2026

Microdroplet-based high-throughput screening for antagonistic bacteria targeting penaeid shrimp pathogenic Vibrio harveyi.

Antagonistic bacteria that suppress the growth of specific bacteria have attracted attention as an antibiotics-independent strategy for infectious disease control in aquaculture. Microfluidics-based water-in-oil droplets (microdroplets) enable high-throughput screening of antagonistic bacteria in the field of medicine or agriculture. However, the use of this screening system in aquaculture has not yet been reported. In particular, penaeid shrimp aquaculture, one of the largest sectors of global aquaculture, has a strong demand for alternative disease control strategies because vaccination is ineffective. Here, we demonstrated a proof-of-concept study of microdroplet-based high-throughput screening system for antagonistic bacteria targeting penaeid shrimp pathogenic Vibrio harveyi. Using this screening system, we successfully isolated 18 bacterial candidates with potential growth-inhibitory activity, representing three genera (Pseudoalteromonas, Shewanella, and Tenacibaculum), from the bacterial community of kuruma shrimp Penaeus japonicus rearing water. 16S rRNA gene-based bacterial community analysis revealed that these isolates included several low-abundance, rare taxa. Although these isolates showed no inhibitory activity on agar plates, one out of four tested strains showed a trend toward improved survival during co-infection tests using kuruma shrimp. Overall, our study highlights both the potential and limitation of microdroplet-based antagonistic bacterial screening to accelerate the development of biological control strategies in shrimp aquaculture.

Animals↗
PubMed2001

Transcriptionally active polymerase chain reaction (TAP): high throughput gene expression using genome sequence data.

An approach is described for making transcriptionally active PCR (TAP) fragments that were used directly in in vitro and in vivo expression experiments. TAP fragments encoding reporter genes were amplified in 1 day using typical PCR methodology and were expressed in cultured cells and in mice at levels comparable with a widely used cytomegalovirus promoter-based plasmid expression vector. Following intramuscular injection, a TAP fragment encoding hepatitis B surface antigen (HBsAg) induced anti-HBsAg antibody titers comparable with those induced by supercoiled plasmid encoding the same antigen. Epitope-tagged TAP fragments were generated and transfected into cells for rapid, high throughput immunocytochemical analysis of the tagged gene products. TAP fragments were also transferred directly into expression vectors by in vivo homologous recombination without conventional cloning, affording a high throughput cloning approach that does not require restriction enzyme digestion, ligations, or thymidine adenine complementation cloning. The methodology has been adapted to a robotic work station enabling the high throughput generation of transcriptionally active genes at the rate of more than 400 different genes per day. This technology offers a practical approach to directly utilize genome sequence data to generate functional proteomes.

Animals↗
PubMed2006

Frequency of common HFE variants in the Saudi population: a high throughput molecular beacon-based study.

BACKGROUND: Hereditary Hemochromatosis (HH) is an autosomal recessive disorder highlighted by iron-overload. Two popular mutations in HFE, p.C282Y and p.H63D, have been discovered and found to associate with HH in different ethnic backgrounds. p.C282Y and p.H63D diagnosis is usually made by restriction enzyme analysis. However, the use of this technique is largely limited to research laboratories because they are relatively expensive, time-consuming, and difficult to transform into a high throughput format. METHODS: Single nucleotide variations in target DNA sequences can be readily identified using molecular beacon fluorescent probes. These are quenched probes with loop and hairpin structure, and they become fluorescent upon specific target recognition. We developed high throughput homogeneous real-time PCR assays using molecular beacon technology, to genotype p.C282Y and p.H63D variants. Representative samples of different genotypes for these variants were assayed by restriction enzyme analysis and direct sequencing as bench mark methods for comparison with the newly developed molecular beacon-based real-time PCR assay. RESULTS: Complete concordance was achieved by all three assay formats. Homozygotes (mutant and wildtype) and heterozygotes were readily differentiated by the allele specific molecular beacons as reported by the associated fluorophore in the real-time assay developed in this study. Additionally, these assays were used in a high throughput format to establish the allele frequency of C282Y and H63D in Saudis for the first time. CONCLUSION: These assays may be reliably applied as a diagnostic test or large scale method for population screening.

Amino Acid Substitution↗
PubMed2006

Denaturing HPLC for high-throughput screening of rifampicin-resistant Mycobacterium tuberculosis isolates.

OBJECTIVE: To evaluate the use of denaturation high-performance liquid chromatography (dHPLC) as a rapid method to detect rifampicin (RMP) resistance based on mutations in the rpoB gene in a high-volume laboratory setting. METHODS: A total of 132 RMP-resistant Mycobacterium tuberculosis strains with different rpoB mutation were used to optimise the running condition of dHPLC as a pilot study. A blind correlation study was subsequently done between dHPLC and in vitro RMP susceptibility tests on 3167 M. tuberculosis strains in a high-throughput clinical setting. RESULTS: In the pilot study, rpoB mutation could be detected on 116/132 (87.9%) RMP-resistant strains by dHPLC. In the second phase of the study, 84/3107 (2.7%) clinical M. tuberculosis isolates were RMP-resistant. The sensitivity and specificity of dHPLC in the prediction of RMP resistance were 70/84 (83.3%) and 70/77 (91.0%), respectively. The specificity became 100% when 511 Leu to Pro mutation was excluded from the RMP resistance-related genetic changes. CONCLUSION: In the detection of RMP resistance in a high-throughput laboratory setting, dHPLC has been demonstrated to be rapid, simple, workable, automatable and inexpensive in terms of running costs and the labour involved.

Bacterial Proteins↗
PubMed2006

Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL.

Translating the overwhelming amount of data generated in high-throughput genomics experiments into biologically meaningful evidence, which may for example point to a series of biomarkers or hint at a relevant pathway, is a matter of great interest in bioinformatics these days. Genes showing similar experimental profiles, it is hypothesized, share biological mechanisms that if understood could provide clues to the molecular processes leading to pathological events. It is the topic of further study to learn if or how a priori information about the known genes may serve to explain coexpression. One popular method of knowledge discovery in high-throughput genomics experiments, enrichment analysis (EA), seeks to infer if an interesting collection of genes is 'enriched' for a Consortium particular set of a priori Gene Ontology Consortium (GO) classes. For the purposes of statistical testing, the conventional methods offered in EA software implicitly assume independence between the GO classes. Genes may be annotated for more than one biological classification, and therefore the resulting test statistics of enrichment between GO classes can be highly dependent if the overlapping gene sets are relatively large. There is a need to formally determine if conventional EA results are robust to the independence assumption. We derive the exact null distribution for testing enrichment of GO classes by relaxing the independence assumption using well-known statistical theory. In applications with publicly available data sets, our test results are similar to the conventional approach which assumes independence. We argue that the independence assumption is not detrimental.

Data Interpretation, Statistical↗
PubMed2005

A platform for high-throughput expression of recombinant human enzymes secreted by insect cells.

Functional genomics and proteomics have been fields of intense investigation, since the disclosure of the sequence of the human genome. To contribute to the assignment of a physiological role to the vast number of coding genes with unknown function, we have undertaken a program to clone, express, purify and determine the catalytic activity of those enzymes predicted to enter the secretory pathway, focusing our efforts on human peptidases. Our strategy to promote high-throughput expression and purification of recombinant proteins secreted by insect cells relies on the expression of the target enzymes with their native leader sequences and on the carboxyl-terminal fusion with a poly-histidine tag. Growth of host cells were optimized in 24-well format to achieve highly paralleled culture conditions with production yields comparable to shake flask. The purification was performed by a robotic system in 96-well format using either magnetic beads or minicolumns. In a pilot study using reference peptidases and lipases, the high-throughput approach demonstrated to support the secretion in the insect cell medium of 85% of the sample enzymes. Of them, 66% have been proven to be catalytically active using fluorescent homogeneous assays in 384-well format compatible with the high-throughput screening criteria. The implications of these results are discussed in light of the application of this procedure to genomic-predicted peptidases.

Animals↗
PubMed2002

Fluorophore-assisted light inactivation: a high-throughput tool for direct target validation of proteins.

To exploit advances in proteomics for drug discovery, high-throughout methods for target validation that directly address the cellular roles of proteins are required. To do this, we have characterized fluorophore-assisted light inactivation (FALI) which uses coherent or diffuse light targeted by fluorescein-labeled probes to inactivate specific proteins. We have shown that it is spatially restricted and tested its efficacy in living cells. FALI is efficient using conventional antibodies and single chain variable fragment phage display antibodies (that are compatible with high-throughput applications). We have shown that singlet oxygen is one of the major components required for FALI-mediated damage. The half-maximal radius of damage is approximately 40 A. FALI causes the specific loss of function of beta 1 integrin in HT-1080 fibrosarcoma cells resulting in a reduction in invasiveness. The efficacy of diffuse light sources (such as a desk lamp) with FALI to inactivate many samples in parallel provides an inexpensive, high-throughput method of wide general applicability for functional proteomics.

Animals↗
PubMed2004

ProteomeGRID: towards a high-throughput proteomics pipeline through opportunistic cluster image computing for two-dimensional gel electrophoresis.

The quest for high-throughput proteomics has revealed a number of critical issues. Whilst improved two-dimensional gel electrophoresis (2-DE) sample preparation, staining and imaging issues are being actively pursued by industry, reliable high-throughput spot matching and quantification remains a significant bottleneck in the bioinformatics pipeline, thus restricting the flow of data to mass spectrometry through robotic spot excision and protein digestion. To this end, it is important to establish a full multi-site Grid infrastructure for the processing, archival, standardisation and retrieval of proteomic data and metadata. Particular emphasis needs to be placed on large-scale image mining and statistical cross-validation for reliable, fully automated differential expression analysis, and the development of a statistical 2-DE object model and ontology that underpins the emerging HUPO PSI GPS (Human Proteome Organization Proteomics Standards Initiative General Proteomics Standards). The first step towards this goal is to overcome the computational and communications burden entailed by the image analysis of 2-DE gels with Grid enabled cluster computing. This paper presents the proTurbo framework as part of the ProteomeGRID, which utilises Condor cluster management combined with CORBA communications and JPEG-LS lossless image compression for task farming. A novel probabilistic eager scheduler has been developed to minimise make-span, where tasks are duplicated in response to the likelihood of the Condor machines' owners evicting them. A 60 gel experiment was pair-wise image registered (3540 tasks) on a 40 machine Linux cluster. Real-world performance and network overhead was gauged, and Poisson distributed worker evictions were simulated. Our results show a 4:1 lossless and 9:1 near lossless image compression ratio and so network overhead did not affect other users. With 40 workers a 32x speed-up was seen (80% resource efficiency), and the eager scheduler reduced the impact of evictions by 58%.

Algorithms↗
PubMed2002

High-throughput genotyping of single nucleotide polymorphisms using new biplex invader technology.

The feasibility of large-scale genome-wide association studies of complex human disorders depends on the availability of accurate and efficient genotyping methods for single nucleotide polymorphisms (SNPs). We describe a new platform of the invader assay, a biplex assay, where both alleles are interrogated in a single reaction tube. The assay was evaluated on over 50 different SNPs, with over 20 SNPs genotyped in study cohorts of over 1500 individuals. We assessed the usefulness of the new platform in high-throughput genotyping and compared its accuracy to genotyping results obtained by the traditional monoplex invader assay, TaqMan genotyping and sequencing data. We present representative data for two SNPs in different genes (CD36 and protein tyrosine phosphatase 1beta) from a study cohort comprising over 1500 individuals with high or low-normal blood pressure. In this high-throughput application, the biplex invader assay is very accurate, with an error rate of <0.3% and a failure rate of 1.64%. The set-up of the assay is highly automated, facilitating the processing of large numbers of samples simultaneously. We present new analysis tools for the assignment of genotypes that further improve genotyping success. The biplex invader assay with its automated set-up and analysis offers a new efficient high-throughput genotyping platform that is suitable for association studies in large study cohorts.

Biotechnology↗
PubMedDate not supplied

Synthesis, characterization and development of a high-throughput methodology for the discovery of botulinum neurotoxin a inhibitors.

Botulinum neurotoxins (BoNTs), etiological agents of the deadly food poisoning disease botulism, are the most toxic proteins currently known. Although only a few hundred cases of botulism are reported in the United States annually, there is growing interest in BoNTs attributable to their potential use as biological warfare agents. Neurotoxicity results from cleavage of the soluble NSF-attachment protein receptor complex proteins of the presynaptic vesicles by the BoNT light chain subunit, a Zn endopeptidase. Few effective inhibitors of BoNT/A LC (light chain) activity are known, and the discovery process is hampered by the lack of an efficient high-throughput assay for screening compound libraries. To alleviate this bottleneck, we have synthesized the peptide SNAPtide and have developed a robust assay for the high-throughput evaluation of BoNT/A LC inhibitors. Key aspects for the development of this optimized assay include the addition of a series of detergents, cosolvents, and salts, including 0.01% w/v Tween 20 to increase BoNT/A LC catalysis, stability, and ease of small molecule screening. To evaluate the effectiveness of the assay, a series of hydroxamate-based small molecules were synthesized and examined with BoNT/A LC. The methodology described is superior to other assays reported to date for the high-throughput identification of BoNT/A inhibitors.

Botulinum Toxins, Type A↗
PubMed1998

High-throughput screening of historic collections: observations on file size, biological targets, and file diversity.

At Pfizer Central Research, high-throughput screening has been an important source of new leads for drug discovery for a decade. Our experience with over 150 high-throughput screens can address questions about necessary file size, how well particular biological targets fare (with particular reference to protein-protein interactions), and what file diversity means in practice.

Databases, Factual↗