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A Virtual Notebook for biomedical work groups.

During the past several years, Baylor College of Medicine has made a substantial commitment to the use of information technology in support of its corporate and academic programs. The concept of an Integrated Academic Information Management System (IAIMS) has proved central in our planning, and the IAIMS activities that we have undertaken with funding from the National Library of Medicine have proved to be important extensions of our technology development. Here we describe our Virtual Notebook system, a conceptual and technologic framework for task coordination and information management in biomedical work groups. When fully developed and deployed, the Virtual Notebook will improve the functioning of basic and clinical research groups in the college, and it currently serves as a model for the longer-term development of our entire information management environment.

Computer Communication Networks↗

High-throughput identification of conditionally essential genes in bacteria: from STM to TSM.

Signature-tagged mutagenesis (STM) provided the first widely applicable high-throughput method for detecting conditionally essential genes in bacteria by using negative selection to screen large pools of transposon (Tn) mutants. STM requires no prior knowledge of the bacterium's genome sequence, and has been used to study a large number of Gram-positive and Gram-negative species, greatly expanding the repertoires of known virulence factors for these organisms. Originally, hybridization of radiolabelled probes to colony or dot blots was used to detect differences in populations of tagged mutants before and after growth under a selective condition. Modifications of the tag detection method involving polymerase chain reaction (PCR) amplification and visualisation by gel electrophoresis have been developed and can be automated through the use of robotics. Genetic footprinting is another negative selection technique that uses PCR amplification to detect loss of mutants from a pool. Unlike PCR-STM, this technique allows direct amplification of Tn-flanking sequences. However, it requires the bacterium's whole genome sequence in order to design specific primers for every gene of interest. More recently, a number of techniques have been described that combine the negative-selection principle of STM and genetic footprinting with the genome-wide screening power of DNA microarrays. These techniques, although also requiring whole genome sequences, use either a form of linker-mediated or semi-random PCR to amplify and label Tn-flanking regions for hybridization to microarrays. The superior sensitivity microarray detection allows greater numbers of mutants to be screened per pool, as well as determination of the coverage/distribution of insertions in the library prior to screening, two significant advantages over STM.

Bacteria↗

Entrez Gene: gene-centered information at NCBI.

Entrez Gene (www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene) is NCBI's database for gene-specific information. Entrez Gene includes records from genomes that have been completely sequenced, that have an active research community to contribute gene-specific information or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of both curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases and from other databases within NCBI. Records in Entrez Gene are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is provided via interactive browsing through NCBI's Entrez system, via NCBI's Entrez programing utilities (E-Utilities), and for bulk transfer by ftp.

Databases, Genetic↗

Automated alignment and pattern recognition of single-molecule force spectroscopy data.

Recently, direct measurements of forces stabilizing single proteins or individual receptor-ligand bonds became possible with ultra-sensitive force probe methods like the atomic force microscope (AFM). In force spectroscopy experiments using AFM, a single molecule or receptor-ligand pair is tethered between the tip of a micromachined cantilever and a supporting surface. While the molecule is stretched, forces are measured by the deflection of the cantilever and plotted against extension, yielding a force spectrum characteristic for each biomolecular system. In order to obtain statistically relevant results, several hundred to thousand single-molecule experiments have to be performed, each resulting in a unique force spectrum. We developed software and algorithms to analyse large numbers of force spectra. Our algorithms include the fitting polymer extension models to force peaks as well as the automatic alignment of spectra. The aligned spectra allowed recognition of patterns of peaks across different spectra. We demonstrate the capabilities of our software by analysing force spectra that were recorded by unfolding single transmembrane proteins such as bacteriorhodopsin and NhaA. Different unfolding pathways were detected by classifying peak patterns. Deviant spectra, e.g. those with no attachment or erratic peaks, can be easily identified. The software is based on the programming language C++, the GNU Scientific Library (GSL), the software WaveMetrics IGOR Pro and available open-source at http://bioinformatics.org/fskit/.

Algorithms↗

[From the Cochrane Library: brushing the teeth with an electric toothbrush with an oscllating rotating movement more effective against plaque and gingivitis than brushing with a conventional toothbrush].

Removing dental plaque plays a key role in maintaining oral health and reducing gingivitis and parodontitis. A systematic Cochrane review ofrandomised controlled trials encompassing participants from the general public with uncompromised manual dexterity showed that when compared to the use of manual toothbrushes, the use of powered toothbrushes with a rotating oscillation action for a period of three months reduced gingivitis and (although not statistically significantly) plaque. The long-term clinical relevance of the differences is unclear. Electric toothbrushes that did not have an oscillating rotating movement were not consistently better than manual toothbrushes.

Automation↗

Open source clustering software.

SUMMARY: We have implemented k-means clustering, hierarchical clustering and self-organizing maps in a single multipurpose open-source library of C routines, callable from other C and C++ programs. Using this library, we have created an improved version of Michael Eisen's well-known Cluster program for Windows, Mac OS X and Linux/Unix. In addition, we generated a Python and a Perl interface to the C Clustering Library, thereby combining the flexibility of a scripting language with the speed of C. AVAILABILITY: The C Clustering Library and the corresponding Python C extension module Pycluster were released under the Python License, while the Perl module Algorithm::Cluster was released under the Artistic License. The GUI code Cluster 3.0 for Windows, Macintosh and Linux/Unix, as well as the corresponding command-line program, were released under the same license as the original Cluster code. The complete source code is available at http://bonsai.ims.u-tokyo.ac.jp/mdehoon/software/cluster. Alternatively, Algorithm::Cluster can be downloaded from CPAN, while Pycluster is also available as part of the Biopython distribution.

Algorithms↗

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.

BACKGROUND: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the process of generating models in traditional multicategory support vector machines for large datasets is very computationally intensive, there is a need to improve the performance using high performance computing techniques. RESULTS: In this paper, Parallel Multicategory Support Vector Machines (PMC-SVM) have been developed based on the sequential minimum optimization-type decomposition method for support vector machines (SMO-SVM). It was implemented in parallel using MPI and C++ libraries and executed on both shared memory supercomputer and Linux cluster for multicategory classification of microarray data. PMC-SVM has been analyzed and evaluated using four microarray datasets with multiple diagnostic categories, such as different cancer types and normal tissue types. CONCLUSION: The experiments show that the PMC-SVM can significantly improve the performance of classification of microarray data without loss of accuracy, compared with previous work.

Algorithms↗

Elsie 4: quantitative computer analysis of sets of two-dimensional gel electrophoretograms.

We have developed and refined a system for quantitative computer analysis of two-dimensional polyacrylamide gel electrophoretograms. The system, named Elsie 4, is based on one described by Vo et al. (Anal. Biochem. 112, 258 (1981]. It is highly automated. Elsie 4 can find, and measure the intensity of, almost any spot resolvable on two-dimensional gels, including spots visible only as shoulders off larger spots and spots so close together that there is no "valley" between them. It can automatically match the spot patterns of different gels, potentially without the need for a user to provide landmark matches. The matches between paired gels let us follow the synthesis of any spot through a set of gels. Information about a group of matched spots can be obtained by referring to any spot in the group. There is generally no need for a standard or reference gel. Data for two experiments can be combined and compared by matching any gel in one experiment with any gel in the other. There are ways to automatically find possible mismatches in sets of gels. Scans and the results of the analysis can be shown on an image displayer. The programs use function libraries; this helps ensure consistency and increase portability. The programs and functions can be linked together in many ways; this lets users build custom programs for analysis of specific experiments.

Computer Systems↗

Gas chromatographic flow method for the preconcentration and simultaneous determination of antioxidant and preservative additives in fatty foods.

A partially automated gas chromatographic method for the simultaneous determination of antioxidants (tert.-butyl-4-hydroxyanisole, 2,6-di-tert.-butyl-p-hydroxytoluene, tert.-butylhydroquinone, alpha-tocopherol and alpha-tocopheryl acetate) and preservatives (sorbic acid, benzoic acid and their esters) in fatty foods without derivatization is reported. About 95% of triglycerides from lipid material are avoided by manually extracting the samples with a mixture of solvents and the remaining by using a continuous solid-phase extraction system. By using aqueous sample solutions (in 0.1 M HNO3), XAD-2 sorbent and selective elution with 200 microliters of 2-propanol, only ca. 0.03% of total triglycerides present in the original sample remains in the final extract. Manual injection of the extract into a GC-flame ionization detection allows the additives to be determine at concentrations in the range 0.5-100 micrograms/ml with a high precision (ca. 3%). Mass spectrometry in the conventional electron impact mode, in conjunction with library search, permits the unequivocal identification of all the additives. Margarine, oil, cheese, pâté and sauce samples were analysed in this way, all with good results.

Antioxidants↗

SAM-T04: what is new in protein-structure prediction for CASP6.

The SAM-T04 method for predicting protein structures uses a single protocol across the entire range of targets, from comparative modeling to new folds. This protocol is similar to the SAM-T02 protocol used in CASP5, but has improvements in the iterative search for similar sequences in finding and aligning templates, in creating fragment libraries, in generating protein conformations, and in scoring the conformations. The automatic procedure made some improvements over simply selecting an alignment to the highest-scoring template, and human intervention made substantial improvements over the automatic procedure. The main improvements made by human intervention were from adding constraints to build (or retain) beta-sheets and from splitting multidomain proteins into separate domains. The uniform protocol was moderately successful across the entire range of target difficulty, but was somewhat less successful than other approaches in CASP6 on the comparative modeling targets.

Algorithms↗

Sixty-nine kilobases of contiguous human genomic sequence containing the alpha-galactosidase A and Bruton's tyrosine kinase loci.

Several disease loci have been mapped to the Xq21.3-Xq22 region of the human X Chromosome (Chr) including X-linked agammaglobulinemia (XLA), Fabry disease, Alport syndrome, and Pelizaeus Merzbacher disease. Upon cloning of the XLA gene, Bruton's tyrosine kinase (btk), both Fabry disease and XLA were mapped within the same 50- to 70-kb interval. In order to investigate the genomic organization of the region surrounding btk and the Fabry disease gene, alpha-galactosidase A (gla), we constructed a 6-cosmid contig spanning the region from 5' of gla to 3' of btk. Two of these cosmids spanning most of the coding sequence and the upstream region of btk and gla, U237D10 and U230D1, were sequenced by a random shotgun strategy combined with automated sequencing, resulting in 69 kb of contiguous genomic sequence. Sequencing of U237D10 showed btk to be comprised of 19 exons spanning over 35 kb. Sequencing of U230D1 showed that the 3' end of gla is 9 kb from the 5' end of btk and also demonstrated the presence of two additional genes in the region immediately 5' to btk. The surprisingly high gene density is similar to that seen previously only in the human major histocompatibility locus.

Agammaglobulinaemia Tyrosine Kinase↗

FTICR-mass spectrometry for high-resolution analysis in combinatorial chemistry.

The diversity of compound collections required for finding lead structures in pharmaceutical research can be provided by means of combinatorial organic chemistry. The resultant enormous number of single compounds but also of compound mixtures represents a challenge for the analyst. With the introduction of Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS or FT-MS), a new and, as yet, not widespread mass spectrometric technique (a means of analysis of such compound libraries with a very high mass resolution) high mass accuracy and high sensitivity has become available. Moreover, in combination with electrospray ionization (ESI), not only high-throughput measurements via flow-injection analysis (FIA) but also coupling with separation techniques such as high-performance liquid chromatography (HPLC) or capillary electrophoresis (CE) is possible. Structural verification by way of decomposing ions (MS(n); n > or = 2) using a variety of different dissociation techniques can be performed by FTICR-MS. This is the first review specifically covering applications of FTICR-MS in the field of combinatorial chemistry.

Automation↗

Applications of mass spectrometry in combinatorial chemistry.

This article describes the use of two mass spectrometric techniques, matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) mass spectrometry, toward a variety of challenging problems in drug discovery and identification. Quantitative ESI was used to screen for inhibitor activity of two different enzymatic glycosylation reactions resulting in the identification of the most effective inhibitors and the determination of their IC50 (inhibitor concentration at 50% inhibition). Also described is a combinatorial extraction method used with automated MALDI mass spectrometry to improve upon the clinical analysis of the immunosuppressant drug cyclosporin A (CsA). Optimization was performed by generating an array of solvent systems which were screened (by MALDI-MS) for the most efficient extraction of CsA from whole blood. Ultimately a 70/30 hexane:CHCl3 mixture was identified as the most efficient binary solvent system for such extractions. In addition it was demonstrated that peptides and carbohydrates, covalently linked to a polymeric support (through a photolabile linker), can be directly analyzed by MALDI in a single step which requires no pretreatment of the sample to induce cleavage from the support. The UV laser light in the MALDI experiment was used to simultaneously promote the analyte's photolytic cleavage from the solid support and its gas phase ionization for subsequent mass spectral analysis. Overall, the strength of mass spectrometry lies in its versatility, making it a powerful analytical technique with which to characterize the diversity of compounds found in combinatorial libraries.

Cyclosporine↗

Amino acid sequence of the a subunit of human factor XIII.

Factor XIII is a plasma protein that plays an important role in the final stages of blood coagulation and fibrinolysis. The complete amino acid sequence of the a subunit of human factor XIII was determined by a combination of cDNA cloning and amino acid sequence analysis. A lambda gtll cDNA library prepared from human placenta mRNA was screened with an affinity-purified antibody against the a subunit of human factor XIII and then with a synthetic oligonucleotide probe that coded for a portion of the amino acid sequence present in the activation peptide of the a subunit. Six positive clones were identified and shown to code for the a subunit of factor XIII by DNA sequence analysis. A total of 3831 base pairs was determined by sequencing six overlapping cDNA clones. This DNA sequence contains a 5' noncoding region or a region coding for a portion of a pro-piece or leader sequence, the mature protein (731 amino acids), a stop codon (TGA), a 3' noncoding region (1535 nucleotides), and a poly(A) tail (10 nucleotides). When the a subunit of human factor XIII was digested with cyanogen bromide, 11 peptides were isolated by gel filtration and reverse-phase HPLC. Amino acid sequence analyses of these peptides were performed with an automated sequenator, and 363 amino acid residues were identified. These amino acid sequences were in complete agreement with those predicted from the cDNA. The a subunit of factor XIII contained the active site sequence of Tyr-Gly-Gln-Cys-Trp, which is identical with that of tissue transglutaminase.(ABSTRACT TRUNCATED AT 250 WORDS)

Amino Acid Sequence↗

Genome-wide detection of tissue-specific alternative splicing in the human transcriptome.

We have developed an automated method for discovering tissue-specific regulation of alternative splicing through a genome-wide analysis of expressed sequence tags (ESTs). Using this approach, we have identified 667 tissue-specific alternative splice forms of human genes. We validated our muscle-specific and brain-specific splice forms for known genes. A high fraction (8/10) were reported to have a matching tissue specificity by independent studies in the published literature. The number of tissue-specific alternative splice forms is highest in brain, while eye-retina, muscle, skin, testis and lymph have the greatest enrichment of tissue-specific splicing. Overall, 10-30% of human alternatively spliced genes in our data show evidence of tissue-specific splice forms. Seventy-eight percent of our tissue-specific alternative splices appear to be novel discoveries. We present bioinformatics analysis of several tissue-specific splice forms, including automated protein isoform sequence and domain prediction, showing how our data can provide valuable insights into gene function in different tissues. For example, we have discovered a novel kidney-specific alternative splice form of the WNK1 gene, which appears to specifically disrupt its N-terminal kinase domain and may play a role in PHAII hypertension. Our database greatly expands knowledge of tissue-specific alternative splicing and provides a comprehensive dataset for investigating its functional roles and regulation in different human tissues.

Alternative Splicing↗

A FlashPlate assay for the identification of PARP-1 inhibitors.

A novel FlashPlate scintillation proximity assay has been developed for the high-throughput screening (HTS) of large compound libraries to identify inhibitors of poly(ADP-ribose) polymerase-1 (PARP-1), an important enzyme involved in DNA repair. The assay was originally developed for the 96-well FlashPlate but is easily transferred to a 384-well format. Moreover, the authors demonstrate that the assay is sufficiently sensitive to determine accurate IC(50) values and adaptable for kinetic evaluation of lead molecules. The mechanism of action of the assay requires the binding of PARP-1 to a double-stranded DNA oligonucleotide leading to the active enzyme. Using NAD(+) and (3)H-NAD(+) as substrate, activated PARP-1 synthesizes labeled poly(ADP-ribose) chains. Once the reaction is stopped, ADP-ribose polymers are brought into proximity with the pretreated FlashPlate walls, resulting in signal amplification. This signal is then detected by a TopCount scintillation plate reader. The developed assay is a robust and reproducible method of screening for PARP-1 inhibitors that is low maintenance and cost-effective and can easily be automated.

Adenosine Diphosphate Ribose↗

Entrez Gene: gene-centered information at NCBI.

Entrez Gene (www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene) is NCBI's database for gene-specific information. It does not include all known or predicted genes; instead Entrez Gene focuses on the genomes that have been completely sequenced, that have an active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is updated as new information becomes available. Entrez Gene is a step forward from NCBI's LocusLink, with both a major increase in taxonomic scope and improved access through the many tools associated with NCBI Entrez.

Databases, Genetic↗

Association of different prediction methods for determination of the efficiency and selectivity on neuron-based sensors.

A technique has been developed to determine the efficiency and the selectivity of a single neuron-based sensor in identifying the nature of the chemical agents in an unknown sample. This has been achieved by exploiting the unique electrical identifiers, also known as "signature patterns", generated by the neuronal cell membrane. These were generated based on the variations to the extracellular electrical activity, due to the effect of a broad range of chemical agents. We demonstrate the prediction capability of the sensor in identifying the nature of an unknown test sample from a combination of three chemical agents, namely, ethanol, pyrethroid, and hydrogen peroxide. This was achieved through a two-step process. The first step was experimentally achieved by in situ recording of the changes to the extracellular electrical activity from the sensing sites or the array of microelectrodes that form the platform for patterning neurons. Simultaneous optical characterization of the cell array during the sensing process was performed to identify the associated physiological changes. The second step was mathematical and was based on developing a library of signature patterns for a set of concentrations of the various combinations of the three chemical agents. Two variants of the nearest neighbor algorithm scheme - (a) partial distance search method, and (b) search tree method, were implemented for the accurate detection of all the components with varying concentrations in the test samples of unknown nature. This technique exhibits reliability in identification up to parts-per-billion (ppb) sensitivity. The capability of standardization of this technique for potential commercial applications is also discussed.

Action Potentials↗