Project description:Data from the IAH/VLA diagnostic pathogen/virus detection microarray. The array platform for this data is GEO accession GPL5725 (provisional), and consists of 5824 oligos representing over 100 viral families, species and subtypes. The data set itself consists of 12 arrays, 4 hybridised with RNA from cell cultured foot-and-mouth disease virus (FMDV) type O, 3 hybridised with RNA from FMDV type A, 1 hybridised with RNA from a sheep infected with FMDV type O, and 4 hybridised with cell-cultured Avian Infectious Bronchitis virus (IBV). Keywords: Virus Detection Microarray
Project description:In this study, we extend array CGH technology by making the accurate detection of segmental aneusomies possible from a single lymphoblast and fibroblast following Phi29 DNA polymerase amplification Keywords: array CGH, aCGH
Project description:In this study, we extend array CGH technology by making the accurate detection of chromosomal imbalances possible from a single fibroblast and blastomere following Phi29 DNA polymerase amplification. Keywords: CGH
Project description:genomic DNA hybridized to gene spots on the cDNA array was used for methylation detection using antibodies against 5methyl cytosine
Project description:A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR. However, an unbiased diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for unbiased random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array developed at the Lawrence Livermore National Laboratory, California, USA, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for unbiased diagnostic analysis of all viruses in clinical samples.