Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human melanoma cell lines (63)

ABSTRACT: 63 melanoma cell lines hybridized to Affymetrix Hu133_Plus 2 oligo arrays. The aim of this study was to identify potential downstream targets of key oncogenes and TSGs in melanoma (including p14ARF, p16INK4A, BRAF etc). Publications relevant to this series include:; Johansson et al. Pigment Cell Res 2007. Experiment Overall Design: 63 melanoma cell lines hybridized to Affymetrix Hu133_Plus 2 oligo arrays. These cell lines were sequenced for key tumour suppressor genes (TSGs) and oncogenes known to be involved in melanoma development. The microarray data was then analysed together with a particular genotype status (see relevant publications) to identify genes that potentially act downstream of these oncogenes and TSGs to contribute to melanoma development. See publications for analysis methods.

ORGANISM(S): Homo sapiens

SUBMITTER: Leisl Packer

PROVIDER: E-GEOD-7127 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Confirmation of a BRAF mutation-associated gene expression signature in melanoma.

Johansson Peter P Pavey Sandra S Hayward Nicholas N

Pigment cell research 20070601 3

Mutations in the BRAF oncogene occur in the majority of melanomas, leading to the activation of the mitogen-activated protein kinase pathway and the transcription of downstream effectors. As BRAF and its effectors could be good melanoma therapy targets, defining the repertoire of genes that are differentially regulated because of BRAF mutational activation is an important objective. Towards this goal, we and others have attempted to determine whether a BRAF mutation-associated gene expression pr ...[more]

PMID: 17516929

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Project description:The present study deals with functional interactions of cutaneous and brain-metastasizing human melanoma cells with brain-derived molecules. In this study we employed the unique melanoma xenograft model developed by Izraely and described in Int J Cancer. 2011 Oct 25. doi: 10.1002/ijc.27324. The present study aims to determine if brain-derived soluble factors regulate malignancy-associated functions of cutaneous and brain-metastasizing melanoma cells and identify which functions are regulated by such factors. The working hypothesis of this study is that the interactions between the brain microenvironment and melanoma cells determine metastasis formation at this organ site. The aim of the study was to evaluate the contribution of such interactions to the formation of brain metastasis in nude mice xenografted with human melanoma cells. An insight into these interactions is an essential pre-requisite for the development of effective targeted therapy for melanoma brain metastasis. We assessed the effects of soluble factors present in supernatants of short-term cultures of normal mouse brain (referred here after as brain-derived soluble factors) on several characteristics linked to melanoma brain metastasis. It was found that brain-derived soluble factors affect differentially cutaneous and brain-metastasizing melanoma cells variants in-vitro. Such factors enhanced the viability of cutaneous melanoma cells but caused an S phase arrest followed by apoptosis of brain-metastasizing cells. Brain-derived soluble factors enhanced migration of melanoma cells metastasizing to the brain, but did not affect the migration of the cutaneous variants. Such factors up-regulated the expression of the chemokine receptor CCR4 in both cutaneous and brain metastasizing melanoma cells. It is not unlikely that CCR4 ligands expressed in the brain interact with the CCR4-expressing melanoma cells thereby directing them to the brain. Brain-derived soluble factors enhanced the transmigration, across human brain endothelial cells of cutaneous but not of brain metastasizing melanoma variants. This activity could promote the capacity of the cutaneous cells to metastasize to the brain. 4 Samples (arrays) were analyzed. There is 1 replicate for each variant and each treatment. We generated pairwise comparisons between cutaneous and brain metastatic variants of the same genetic background, using Partek Genomics Suite, in the three melanoma models. Genes with p≤5% and a fold-change difference of ≥2 or <-2 were selected.

Project description:Tumor suppressor genes (TSGs) are sometimes inactivated by transcriptional silencing through promoter hypermethylation. To identify novel methylated TSGs in melanoma, we carried out global mRNA expression proﬁling on a panel of 12 melanoma cell lines treated with a combination of 5-Aza-2-deoxycytidine (5AzadC) and an inhibitor of histone deacetylase, Trichostatin A. Reactivation of gene expression after drug treatment was assessed using Illumina whole-genome microarrays. After qRT-PCR conﬁrmation, we followed up 8 genes (AKAP12, ARHGEF16, ARHGAP27, ENC1, PPP1R3C, PPP1R14C, RARRES1, and TP53INP1) by quantitative DNA methylation analysis using mass spectrometry of base-speciﬁc cleaved ampliﬁcation products in panels of melanoma cell lines and fresh tumors. PPP1R3C, ENC1, RARRES1, and TP53INP1, showed reduced mRNA expression in 35–59% of the melanoma cell lines compared to melanocytes and which was correlated with a high proportion of promoter methylation (>40–60%). The same genes also showed extensive promoter methylation in 6–25% of the tumor samples, thus conﬁrming them as novel candidate TSGs in melanoma. We sought to identify melanoma TSGs silenced by promoter methylation by carrying out an array-based analysis in a well-annotated panel of 12 cell lines after combined treatment with 5AzadC and an inhibitor of histone deacetylase, Trichostatin A (TSA). Expression profiles were generated for each cell line before and after drug treatment using Illumina Sentrix Human-6 Expression version 2 BeadChips. Genes reactivated in all 12 cell lines were removed from further analysis since they are likely responding to drug treatment as part of the ‘‘cellular stress response,’’ or due to promoter demethylation of genes normally silenced in the melanocytic lineage. Genes were further ﬁltered to identify those with an average of >4-fold increased expression in at least four samples in the panel of 12 lines and >10-fold increase in at least one of the cell lines.

Dataset Information

Transcription profiling of human melanoma cell lines (63)

Publications

Confirmation of a BRAF mutation-associated gene expression signature in melanoma.

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