Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing

ABSTRACT: DNA copy number variations occur within populations and aberrations can cause disease. We sought to develop an improved lab-automatable, cost-efficient, accurate platform to profile DNA copy number. We developed a sequencing-based assay of nuclear, mitochondrial, and telomeric DNA copy number that draws on the unbiased nature of next-generation sequencing and incorporates techniques developed for RNA expression profiling. To demonstrate this platform, we assayed UMC-11 cells using 5 million 33 nt reads and found tremendous copy number variation, including regions of single and homogeneous deletions and amplifications to 29 copies; 5 times more mitochondria and 4 times less telomeric sequence than a pool of non-diseased, blood-derived DNA; and that UMC-11 was derived from a male individual. The described assay outputs absolute copy number, outputs an error estimate (p-value), and is more accurate than array-based platforms at high copy number. The platform enables profiling of mitochondrial levels and telomeric length. The assay is lab-automatable and has a genomic resolution and cost that are tunable based on the number of sequence reads. DNA genome sequencing at roughly 0.03 coverage to identify genomic copy number variations

ORGANISM(S): Homo sapiens

SUBMITTER: John Castle

PROVIDER: E-GEOD-21159 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing.

Castle John C JC Biery Matthew M Bouzek Heather H Xie Tao T Chen Ronghua R Misura Kira K Jackson Stuart S Armour Christopher D CD Johnson Jason M JM Rohl Carol A CA Raymond Christopher K CK

BMC genomics 20100416

<h4>Background</h4>DNA copy number variations occur within populations and aberrations can cause disease. We sought to develop an improved lab-automatable, cost-efficient, accurate platform to profile DNA copy number.<h4>Results</h4>We developed a sequencing-based assay of nuclear, mitochondrial, and telomeric DNA copy number that draws on the unbiased nature of next-generation sequencing and incorporates techniques developed for RNA expression profiling. To demonstrate this platform, we assayed ...[more]

PMID: 20398377

Similar Datasets

Project description:To identify genomic abnormalities characteristic of pancreatic ductal adenocarcinoma (PDAC) in vivo, a panel of 27 microdissected PDAC specimens were analyzed using high-density microarrays representing ~116 000 single nucleotide polymorphism (SNP) loci. We detected frequent gains of 1q, 2, 3, 5, 7p, 8q, 11, 14q and 17q (>78% of cases), and losses of 1p, 3p, 6, 9p, 13q, 14q, 17p and 18q (>44%). Although the results were comparable with those from array CGH, regions of those genetic changes were defined more accurately by SNP arrays. Integrating the Ensembl public data, we have generated "gene" copy number indices that facilitate the search for novel candidates involved in pancreatic carcinogenesis. Copy numbers in a subset of the genes were validated using quantitative real-time PCR. The SKAP2/SCAP2 gene (7p15.2), which belongs to the src family kinases, was most frequently (63%) amplified in our sample set and its recurrent over-expression (67%) was confirmed by reverse transcription-PCR. Furthermore, fluorescence in situ hybridization and in situ RNA hybridization analyses for this gene have demonstrated a significant correlation between DNA copy number and mRNA expression level in an independent sample set (p<0.001). These findings indicate that the dysregulation of SKAP2/SCAP2, which is mostly caused by its increased gene copy number, is likely to be associated with the development of PDAC. Experiment Overall Design: A total of 27 fresh-frozen PDAC tissue specimens were obtained surgically or at autopsy from Yamaguchi University School of Medicine, Japan. All the tissues were confirmed histologically by a pathologist. Tissue microdissection was manually performed to collect more than 90% of tumor cells in all cases and DNA was extracted using a DNA extraction kit (SepaGene). Reference DNA was obtained from lymphocytes of total 13 healthy volunteers (six males and seven females). To assess DNA copy number alterations and LOH, we used the Copy Number Analyzer for Affymetrix GeneChipÂ® (CNAG, Ver2.0) software (Nannya et al. Cancer Res. 2005 Jul 15;65(14):6071-9). Experiment Overall Design: The following Samples were added to the Series after this study was published: PC5_Hind (GSM278031), PC5_Xba (GSM278032), PC11-Hind (GSM278043), and PC19_Hind (GSM278057). A supplementary file describing the clinical data of 28 microdissected PDAC samples is linked at the bottom of the Series.

Dataset Information

DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing

Publications

DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure