Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of 287 lymphoblastoid cell lines

ABSTRACT: We used microarrays to identify the variation of basal gene expression level among 287 lymphoblastoid cell lines. Radiation therapy is used to treat half of all cancer patients. Response to radiation therapy varies widely among patients. Therefore, we performed a genome-wide association study (GWAS) to identify biomarkers to help predict radiation response using 277 ethnically defined human lymphoblastoid cell lines (LCLs). Basal gene expression levels and 1.3 million genome-wide SNP markers from both Affymetrix and Illumina platforms were assayed for all 277 human LCLs. MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium) assays for radiation cytotoxicity were also performed to obtain area under the curve (AUC) as a radiation response phenotype for use in the association studies. Functional validation of candidate genes, selected from an integrated analysis that used SNP, expression and AUC data, was performed with multiple cancer cell lines using specific siRNA knockdown, followed by MTS and colony-forming assays. 27 loci, each containing at least 2 SNPs within 50kb with p-values <10-4, were associated with radiation AUC. 270 expression probe sets were associated with radiation AUC with p<10-3. The integrated analysis identified 50 SNPs in 14 of the 27 loci that were associated with both AUC and the expression of 39 genes that were also associated with radiation AUC (p<10-3). Functional validation using siRNA knockdown in multiple tumor cell lines showed that C13orf34, MAD2L1, PLK4, TPD52 and DEPDC1B each significantly altered radiation sensitivity in at least 2 cancer cell lines. Studies performed with LCLs can help to identify novel biomarkers that might contribute to variation in response to radiation therapy and enhance our understanding of mechanisms underlying that variation. EBV-transformed LCLs from 95 African-American (AA), 96 Caucasian-American (CA), and 96 Han Chinese-American (HCA) unrelated healthy subjects (sample sets HD100AA, HD100CAU, HD100CHI) were purchased from the Coriell Cell Repository (Camden, NJ).

ORGANISM(S): Homo sapiens

SUBMITTER: Liewei Wang

PROVIDER: E-GEOD-23120 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines.

Niu Nifang N Qin Yuxin Y Fridley Brooke L BL Hou Junmei J Kalari Krishna R KR Zhu Minjia M Wu Tse-Yu TY Jenkins Gregory D GD Batzler Anthony A Wang Liewei L

Genome research 20101005 11

Radiation therapy is used to treat half of all cancer patients. Response to radiation therapy varies widely among patients. Therefore, we performed a genome-wide association study (GWAS) to identify biomarkers to help predict radiation response using 277 ethnically defined human lymphoblastoid cell lines (LCLs). Basal gene expression levels and 1.3 million genome-wide single nucleotide polymorphism (SNP) markers from both Affymetrix and Illumina platforms were assayed for all 277 human LCLs. MTS ...[more]

PMID: 20923822

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Project description:Epstein Barr virus (EBV) nuclear antigen 3C (EBNA3C) is an essential transcription factor for initiating and maintaining human B lymphocyte transformation to lymphoblastoid cell lines (LCLs). To comprehensively identify EBNA3C regulated cell genes in LCLs, oligonucleotide arrays were used to compare RNA abundances in 3 different LCLs transformed by an EBV that conditionally expresses EBNA3C. Cell RNA levels were assessed in actively growing LCLs, under non-permissive or permissive conditions or under non-permissive conditions after transcomplementation with wild type EBNA3C. A two-way ANOVA model with covariates including the 3 different clone effects and the 3 EBNA3C expression levels, identified 550 EBNA3C regulated genes, with False Discovery Rate <0.01 and >1.5 fold change. A seeded Bayesian network analysis of the 80 most significantly EBNA3C regulated genes that changed >1.5 fold, positioned RAC1, LYN and TNF upstream of other EBNA3C regulated genes. Further, Gene Set Enrichment Assay (GSEA) identified EBNA3C regulated genes to be enriched for MAP kinase signaling, cytokine-cytokine receptor interactions, JAK-STAT signaling, and cell adhesion molecule effects, implicating these pathways in LCL growth or survival. Moreover, 106 EBNA3C regulated genes could be placed in protein interaction networks. Since CXCL12 and CXCR4 signaling are implicated in LCL growth and were EBNA3C up-regulated, up-regulation of CXCL12 was validated by qRT-PCR and effects on induced LCL migration were confirmed. EBNA3C regulated genes significantly overlapped with EBNA2 and EBNA3A regulated genes, consistent with a central role for RBP/CSL in these effects. RNAs from three different Lymphoblastoid Cell Lines(LCLs) expressing conditional EBNA3C grown under permissive or non-permissive conditions for 7 days; the same LCLs transcompletemented with EBNA3C expressed in trans at full wild-type level were used to identify EBNA3C regualted cellular genes. Total cell RNAs were hybrdized to Affymetrix U-133 Plus 2.0 microarrays. A two way ANOVA model was developed with covariates including the 3 different clone effects and the 3 EBNA3C expression levels and identified 550 EBNA3C regulated genes.

Dataset Information

Transcription profiling of 287 lymphoblastoid cell lines

Publications

Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines.

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