Neuroblastoma cell line profiling
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Rogier Versteeg
PROVIDER: E-GEOD-28019 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Neuroblastoma tumors frequently show loss of heterozygosity of chromosome 11q with a shortest region of overlap in the 11q23 region. These deletions are thought to cause inactivation of tumor suppressor genes leading to haploinsufficiency. Alternatively, micro-deletions could lead to gene fusion products that are tumor-driving. To identify such events we analyzed a series of neuroblastomas by comparative genomic hybridization (CGH) and single nucleotide polymorphism (SNP) arrays and integrated these data with Affymetrix mRNA profiling data with the bioinformatic tool R2 (http://r2.amc.nl). We identified three neuroblastoma samples with small interstitial deletions at 11q23, upstream of the forkhead-box transcription factor FOXR1. Genes at the proximal side of the deletion were fused to FOXR1, resulting in fusion transcripts of MLL-FOXR1 and PAFAH1B2-FOXR1. FOXR1 expression has only been detected in early embryogenesis. Affymetrix microarray analysis showed high FOXR1 mRNA expression exclusively in the neuroblastomas with micro-deletions and rare cases of other tumor types, including osteosarcoma cell line HOS. RNAi silencing of FOXR1 strongly inhibited proliferation of HOS cells and triggered apoptosis. Expression profiling of these cells and reporter assays suggested that FOXR1 is a negative regulator of forkhead-box factor mediated transcription. The neural crest stem cell line JoMa1 proliferates in culture conditional to activity of a MYC-ER transgene. Over-expression of the wild-type FOXR1 could functionally replace MYC and drive proliferation of JoMa1. We conclude that FOXR1 is recurrently activated in neuroblastoma by intrachromosomal deletion/fusion events, resulting in over-expression of fusion transcripts. Forkhead-box transcription factors have not been previously implicated in neuroblastoma pathogenesis. Furthermore, this is the first identification of intrachromosomal fusion genes in neuroblastoma. Time series Affymetrix U133p2 profiling of Osteosarcoma HOS cells transduced with FOXR1 targeted shRNAs or control shRNA
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Project description:The pediatric tumor neuroblastoma is the second cause of cancer-related death in children. Although several recurrent gene aberrations have been found, the main signaling networks in the neuroblastoma cell, that can give important clues for more specific, more efficient treatment, is still unknown. Here we demonstrate an analysis of the MEIS1 pathway in neuroblastic tumors. It suggests important regulatory connections to tumor differentiation, cell cycle, and cell death. Time-course experiment of MEIS1-shRNA induction, with 5 timepoints.
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Project description:Neuroblastoma is an often aggressive childhood cancer with several large chromosomal regions showing recurrent gains or losses. Chromosome 7q is gained in 40-60% of neuroblastomas, but despite being the second most frequent genomic aberration, no oncogenes have been linked to 7q gain. We performed expression profiling and array CGH on 88 primary neuroblastoma tumors to identify a 7q oncogene. We assayed neuroblastoma cell lines and combined bioinformatic analyses on the in vitro and in vivo data.
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Project description:mRNA profiles of thousands of human tumors are available, but methods to deduce oncogenic signaling networks from these data lag behind. It is especially challenging to identify main-regulatory routes, and to generalize conclusions obtained from experimental models. We designed the bioinformatic platform R2 (http://r2.amc.nl) in parallel with a wet-lab approach of neuroblastoma. Here we demonstrate how R2 facilitates an integrated analysis of our neuroblastoma data. Analysis of the MYCN pathway suggested important regulatory connections to the polyamine synthesis route, the Notch pathway and the BMP/TGFM-NM-2 pathway. A network of genes emerged connecting major oncogenes in neuroblastoma. Genes in the network carried strong prognostic values and were essential for tumor cell survival. Triplicate time course experiments of MSX1 induction, with 4 timepoints.
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