Transcriptomics

Dataset Information

3

Gene expressioin signatures in human lymphoblastoid cell lines with different ataxia telangiectasia-mutated (ATM) genotypes post sham- or IR-treatment


ABSTRACT: Transcriptional profiling of human lymphoblastoid cell lines with different ATM genotypes 6h post sham- or 1.5 Gy IR-treatmentl was compared to extract IR-related gene expression signatures that can identify ataxia telangiectasia (AT) carries from non AT carries and AT patients. Biological replicates: 6 or 4; Technical replicates: 2 with C3 and C5 dye swap.

ORGANISM(S): Homo sapiens  

SUBMITTER: Tong Zhou   Kaufmann William  Zhou Tong 

PROVIDER: E-GEOD-45849 | ArrayExpress | 2013-04-09

SECONDARY ACCESSION(S): GSE45849PRJNA196589

REPOSITORIES: GEO, ArrayExpress

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Publications

Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.

Chou Jeff W JW   Zhou Tong T   Kaufmann William K WK   Paules Richard S RS   Bushel Pierre R PR  

BMC bioinformatics 20071102


A common observation in the analysis of gene expression data is that many genes display similarity in their expression patterns and therefore appear to be co-regulated. However, the variation associated with microarray data and the complexity of the experimental designs make the acquisition of co-expressed genes a challenge. We developed a novel method for Extracting microarray gene expression Patterns and Identifying co-expressed Genes, designated as EPIG. The approach utilizes the underlying s  ...[more]

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