Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Affymetrix SNP array data for oral squamous cell carcinoma

ABSTRACT: In order to identify biomarkers that contribute to genetic causes of OSCC, we attempt to identify copy number variation regions (CNV) in patients with OSCC. We identified and confirmed the clinical significance of amplification regions scattered from 8q22.2 to 8q24.3. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from normal oral tissues and OSCC specimens. Copy number analysis of Affymetrix SNP 6.0 arrays was performed for 112 OSCC specimens and 10 non-cancerous samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Chien-Hua Peng

PROVIDER: E-GEOD-25103 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma.

Peng Chien-Hua CH Liao Chun-Ta CT Peng Shih-Chi SC Chen Yin-Ju YJ Cheng Ann-Joy AJ Juang Jyh-Lyh JL Tsai Chi-Ying CY Chen Tse-Ching TC Chuang Yung-Jen YJ Tang Chuan-Yi CY Hsieh Wen-Ping WP Yen Tzu-Chen TC

PloS one 20110811 8

Molecular methods for predicting prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are urgently needed, considering its high recurrence rate and tendency for metastasis. The present study investigated the genetic basis of variations in gene expression associated with poor prognosis in OSCC using Affymetrix SNP 6.0 and Affymetrix GeneChip Human Gene 1.0 ST arrays. We identified recurrent DNA amplifications scattered from 8q22.2 to 8q24.3 in 112 OSCC specimens. These amplicons ...[more]

PMID: 21853135

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Project description:Methods for haplotyping and DNA copy number typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA of a single cell by microarray or next-generation sequencing, a whole-genome amplification (WGA) process is required that substantially distorts the frequency and composition of the cell’s alleles. As a consequence, haplotyping methods suffer from error-prone discrete SNP-genotypes (AA, AB, BB), and DNA copy number profiling remains difficult as true DNA copy number aberrations have to be discriminated from WGA-artifacts. Here, we developed a single-cell genome analysis method that reconstructs genome-wide haplotype architectures as well as the copy-number and segregational origin of those haplotypes by deciphering WGA-distorted SNP B-allele fractions, using a process we coin haplarithmisis. We demonstrate clinical precision of the method on single cells biopsied from human embryos to diagnose disease alleles genome wide, we advance and facilitate the detection of numerical and structural chromosomal anomalies in single cells, and can distinguish meiotic from mitotic segregation errors in a single assay. The samples of a reference family were applied for optimisation of single-cell genotyping using Affymetrix SNP-arrays prior to downstream analysis. Specifically, the reference family delivers genomic DNA samples isolated from peripheral blood of two siblings 'S1' and 'S2', the mother and father of these siblings, as well as of the maternal grandmother and grandfather. Of individuals ‘S1’ and ‘S2’, six EBV-transformed lymphoblastoid single cells were isolated of which three were whole-genome amplified using MDA and three using PicoPlex. These WGA-products were hybridized to Affymetrix NspI 250K SNP-arrays following the protocol as recommended by the company. Subsequently, the SNP-probe signals were interpreted by different genotyping algorithms (see data processing). Based on overall performance, it was decided to use the Dynamic Model (DM) for interpreting Affymetrix SNP-probe signals of single cells.

Dataset Information

Affymetrix SNP array data for oral squamous cell carcinoma

Publications

A novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma.

Similar Datasets

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