Project description:The Goto-Kakizak (GK) rat, a nonobese animal model of Type 2 diabetes (T2D), were developed by repeated inbreeding of glucose-intolerent individuals selected from Wistar rats. During their development, GK rats suffer from reduced beta-cell mass and insulin resistance spontaneously (T2D phenotype), which are supposed to be caused by loci holding different genotypes between GK and Wistar rats. This array CGH experiment can detect loci which show different copy numbers (genotype) between GK and Wistar rats. These loci serve as a valuable repository for mining candidates contributing to the pathogenesis of T2D.
Project description:The Goto-Kakizak (GK) rat, a nonobese animal model of Type 2 diabetes (T2D), were developed by repeated inbreeding of glucose-intolerent individuals selected from Wistar rats. During their development, GK rats suffer from reduced beta-cell mass and insulin resistance spontaneously (T2D phenotype), which are supposed to be caused by loci holding different genotypes between GK and Wistar rats. This array CGH experiment can detect loci which show different copy numbers (genotype) between GK and Wistar rats. These loci serve as a valuable repository for mining candidates contributing to the pathogenesis of T2D. The genomic DNA taken from 3 male GK rats as 3 test samples while pooled genomic DNA from 8 male Wistar rats as the common referrence. For each of the hybridization, a dye-swap was designed as well.
Project description:We have used oligoarray comparative genomic hybridization (aCGH) to identify novel suppressors generated in a UV-TMP based suppressor screen. This approach is suitable for detecting single gene mutations as well as copy number variations. Keywords: C.elegans Suppressor screen array CGH
Project description:To identify susceptibility genes concerning copy number variations (CNVs) in rheumatoid arthritis (RA), a case-control genome-wide CNV analyses was carried out by Roche Nimblegen array-based CGH. In this study, 15 RA patients and 1 control (Non-RA) were included.
Project description:We have used oligoarray comparative genomic hybridization (aCGH) to identify novel suppressors generated in a UV-TMP based suppressor screen. This approach is suitable for detecting single gene mutations as well as copy number variations. Keywords: C.elegans Suppressor screen array CGH [1] 2 test samples from homozygous rol-3 suppressor strains mapped to chromosome II individually hybridized to reference DNA from BC6637 (rol-3(s1040ts) conditional strain), using a high density tiling array for chromosome II. [2] 4 test samples from homozygous rol-3 suppressor strains individually hybridized to reference DNA from BC6637 (rol-3(s1040ts) conditional strain).
Project description:Gene amplifications and deletions frequently contribute to tumorigenesis. Characterization of these DNA copy-number changes is important for both the basic understanding of cancer and its diagnosis. Comparative genomic hybridization (CGH) was developed to survey DNA copy-number variations across a whole genome. With CGH, differentially labelled test and reference genomic DNAs are co-hybridized to normal metaphase chromosomes, and fluorescence ratios along the length of chromosomes provide a cytogenetic representation of DNA copy-number variation. CGH, however, has a limited ( approximately 20 Mb) mapping resolution, and higher-resolution techniques, such as fluorescence in situ hybridization (FISH), are prohibitively labour-intensive on a genomic scale. Array-based CGH, in which fluorescence ratios at arrayed DNA elements provide a locus-by-locus measure of DNA copy-number variation, represents another means of achieving increased mapping resolution. Published array CGH methods have relied on large genomic clone (for example BAC) array targets and have covered only a small fraction of the human genome. cDNAs representing over 30,000 radiation-hybrid (RH)-mapped human genes provide an alternative and readily available genomic resource for mapping DNA copy-number changes. Although cDNA microarrays have been used extensively to characterize variation in human gene expression, human genomic DNA is a far more complex mixture than the mRNA representation of human cells. Therefore, analysis of DNA copy-number variation using cDNA microarrays would require a sensitivity of detection an order of magnitude greater than has been routinely reported. We describe here a cDNA microarray-based CGH method, and its application to DNA copy-number variation analysis in breast cancer cell lines and tumours. This study is described more fully in Pollack JR et al.(1999) Nat Genet 23:41-6 Keywords: other