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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Custom array CGH of Oral Squamous Cell Cancer

ABSTRACT: Over last decade several studies on oral cancer patients from eastern India have identified alterations in copy numbers in many regions of the chromosome such as 3p21.3, 8q24.21, 9p21, 9p22, 11q13, 11q21-24. However, all these studies employed microsatellite markers to map these CNV regions. This resulted in large map intervals (10-12 megabases) between the adjacent markers studied. As these regions contain a large number of genes, a high resolution CNV map of these regions was necessary to precisely identify novel genes affected by the amplifications and deletions. We thus used custom made Agilent 4X44K oligonucleotide array CGH platform to map the identified CNV regions in a resolution of 3 Kb in oral cancer patients from eastern India. Twenty-nine defined genomic intervals of ten male and two female oral cancer patients were compared with a normal male and normal female sample, respectively, by Agilent's custom oligo CGH array of 4X44K format.

ORGANISM(S): Homo sapiens

SUBMITTER: Susanta Roychoudhury

PROVIDER: E-GEOD-54165 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Custom array CGH of Oral Squamous Cell Cancer

Project description:Over last decade several studies on oral cancer patients from eastern India have identified alterations in copy numbers in many regions of the chromosome such as 3p21.3, 8q24.21, 9p21, 9p22, 11q13, 11q21-24. However, all these studies employed microsatellite markers to map these CNV regions. This resulted in large map intervals (10-12 megabases) between the adjacent markers studied. As these regions contain a large number of genes, a high resolution CNV map of these regions was necessary to precisely identify novel genes affected by the amplifications and deletions. We thus used custom made Agilent 4X44K oligonucleotide array CGH platform to map the identified CNV regions in a resolution of 3 Kb in oral cancer patients from eastern India.

2015-02-28 | GSE54165 | GEO

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Project description:Here we describe a genome-wide analysis of copy number variations (CNVs) in Chinese domestic cattle by using array comparative genomic hybridization (array CGH) and quantitative PCR (qPCR). We conducted array CGH analysis on 30 male cattle individuals, animals from consisting of 12 breeds of Bos taurus/Bos indicus, 1 Bos grunniens and and two ones of Bubalus bubalis breeds for with beef, and/or dairy or dual purpose. We identified over 470 candidate CNV regions (CNVRs) in Bos B. taurus/B. indicus; 118 candidate CNV regions (CNVRs) in B. grunniens, 139 CNVRs in B. bubalis. Furthermore, based on the Y haplotypes of B. taurus/ B. indicus, Wwe also identified 69, 337, and 251 candidate CNV regions (CNVRs) in the sub-groups of Y1, Y2 and Y3 haplotypes.

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Project description:Analysis of Copy Number for bladder cancer using Agilent Human Genome CGH Microarray Kit 4x44K

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Project description:Copy number variation (CNV) is an important type of genetic variation contributing to phenotypic differences among mammals. Up to now, GWAS analysis using CNV called by array CGH is lacking in livestock like Holstein cattle. The objectives of this work are to identify CNVs using high-density aCGH data and explore functional CNVs which are associated with complex traits by GWAS method in Holstein cattle. In this study, we reported a systematic CNV association analysis of CNVs and 39 complex production traits in Holsteins. This research identified 1043 CNV regions (CNVRs) by array CGH data in 47 Holstein bulls. Using a genome-wide association analysis (GWAS) approach, we identified 79 significant CNVRs associated with at least one complex traits after false discovery rate (FDR) correction. Notably, 24 CNVRs were markedly related to daughter pregnancy rate (DPR). This study observed the pleiotropy phenomenon of 39 CNV loci which can simultaneously regulate at least 2 complex traits. In summary, the significant CNVs identified in this research could be utilized additional molecular markers for genetic improvement programs in Holsteins.

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Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency.

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