1,721,040 research outputs found
Array-based mutation detection of the BRACA genes using direct probe/target hybridization and single base extension methods
No full textArray-based mutation detection of BRCA1 using direct probe/target hybridization
No full textWe describe here an efficient micro array-based multiplex assay to detect Korean-specific mutations in breast cancer susceptibility gene BRCA1 using direct probe/target hybridization. Allele-specific oligonucleotides were covalently immobilized on an aldehyde-activated glass slide to prepare an oligonucleotide chip. From a wild-type sample, a two-step method was used to generate labeled multiplex polymerase chain reaction (PCR) amplification products of genomic regions containing the mutation sites. Amino allyl-dUTP, an amine-modified nucleotide, was incorporated during multiplex PCR amplifications and a monofunctional form of cyanine 3 dye was subsequently attached to the reactive amine group of the PCR products. Hybridization of the labeled PCR products to the oligonucleotide chip successfully identified all of the genotypes for the selected mutation sites. This work demonstrates that oligonucleotides chip-based analysis is a good candidate for efficient clinical testing for BRCA1 mutations when combined with the indirect strategy to prepare labeled target samples. (C) 2004 Elsevier Inc. All rights reserved
Identification of biochemical networks by S-tree based genetic programming
No full textMOTIVATION: Most previous approaches to model biochemical networks have focused either on the characterization of a network structure with a number of components or on the estimation of kinetic parameters of a network with a relatively small number of components. For system-level understanding, however, we should examine both the interactions among the components and the dynamic behaviors of the components. A key obstacle to this simultaneous identification of the structure and parameters is the lack of data compared with the relatively large number of parameters to be estimated. Hence, there are many plausible networks for the given data, but most of them are not likely to exist in the real system. RESULTS: We propose a new representation named S-trees for both the structural and dynamical modeling of a biochemical network within a unified scheme. We further present S-tree based genetic programming to identify the structure of a biochemical network and to estimate the corresponding parameter values at the same time. While other evolutionary algorithms require additional techniques for sparse structure identification, our approach can automatically assemble the sparse primitives of a biochemical network in an efficient way. We evaluate our algorithm on the dynamic profiles of an artificial genetic network. In 20 trials for four settings, we obtain the true structure and their relative squared errors are <5% regardless of releasing constraints about structural sparseness. In addition, we confirm that the proposed algorithm is robust within +/-10% noise ratio. Furthermore, the proposed approach ensures a reasonable estimate of a real yeast fermentation pathway. The comparatively less important connections with non-zero parameters can be detected even though their orders are below 10(-2). To demonstrate the usefulness of the proposed algorithm for real experimental biological data, we provide an additional example on the transcriptional network of SOS response to DNA damage in Escherichia coli. We confirm that the proposed algorithm can successfully identify the true structure except only one relation
Diagnosis of BRCA1 mutations using single base extension and zip-code microarray, 2007 spring KSBB meeting and international symposium
No full textDiagnosis of Korean-specific BRCA1 mutations using single base extension and zip-code microarray
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
DNA intercalation-based electrochemical detection of Chlamydia trachomatis utilizing peroxidase-catalyzed signal amplification
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Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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