Dataset Information

Gene-level expression data in melanocytes and in melanoma cell lines WM1552C and A375 over-expressing miR211

ABSTRACT: MicroRNAs (miRNAs) influence cancer development through post-transcriptional negative regulation of both tumor suppressors and oncogenes. We subjected melanoma cell lines, normal melanocytes, and keratinocytes to array based miRNA profiling, and identified several distinct miRNAs with differential expression. Specifically, miR-211 levels were depleted in all eight melanoma cell lines examined, and also in 23 of 30 distinct patient melanoma samples (graded as primary in situ, regional metastatic, distant metastatic and nodal metastatic). Putative target genes of miR-211 were identified, and their anticipated increased expression levels were confirmed in melanoma cell lines, which were reduced in two melanoma cell lines that artificially over-expressed miR-211. Four such target genes (TCF12, RAB22A, KCNMA1 and SLC37A3) were confirmed by a target cleavage assay. Stable over-expression of miR-211 in two melanoma cell lines caused significant growth inhibition and reduced invasiveness. The differential expression of miR-211 in a variety of melanoma cell lines and clinical samples, consistent inverse correlation between miR-211 and its target mRNA levels, and growth retardation and reduced invasiveness of melanoma cell lines by miR-211 are all consistent with the idea that the depletion of miR-211 is a key step in melanoma development and/or progression The 15 Samples in this submission represent gene-level expression profiling of isolated total RNA from WM1552C, WM1552+miRNA211, A375, A375+miRNA211 and melanocytes hybridized to Affymetrix exon ararys.

ORGANISM(S): Homo sapiens

SUBMITTER: perera ranjan

PROVIDER: S-ECPF-GEOD-15281 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:The two most common melanoma histopathologic subtypes, superficial spreading (SSM) and nodular melanoma (NM), are believed to represent sequential phases of linear progression from radial to vertical growth. Studies suggest, however, that SSM and NM are biologically distinct. We utilized an integrative genomic approach to examine the possibility that SSM and NM are the result of independent pathways characterized by unique molecular alterations. Cell lines including SSM, NM, metastatic melanoma, and melanocyte controls were evaluated for copy number changes and differential mRNA expression using single nucleotide polymorphism array (SNP 6.0, Affymetrix) and gene array (U133A 2.0, Affymetrix). Data sets were integrated to identify copy number alterations that correlated with gene expression, and array results were validated using immunohistochemistry on human tissue microarrays (TMAs) and an external data set. The functional effect of genomic deletion was assessed by lentiviral overexpression. Integrative genomics revealed 8 genes in which NM/SSM-specific copy number alterations were correlated with NM/SSM differential gene expression (P<0.05, Spearman’s rank). Pathways analysis of differentially expressed genes (N=114) showed enrichment for metabolic-related processes. SSM-specific genomic deletions (DIS3, MTAP, G3BP2, SEC23IP, USO1) were verified in an expanded panel of cell lines, and forced overexpression of MTAP in SSM resulted in reduced cell growth. Metabolism-related gene ALDH7A1 was verified as overexpressed in NM using human TMAs.The identification of recurrent genomic deletions in SSM not present in NM challenges the linear model of melanoma progression and supports the unique molecular classification of SSM and NM. Gene expression profiling using Affymetrix U133A 2.0 arrays was performed on 18 melanoma cell lines including 2 primary superficial spreading melanoma, 2 primary nodular melanoma, 2 metastatic nodular melanoma, and 12 metastatic cell lines. Four melanocyte control lines were also evaluated including 2 immortalized melanocyte cell lines (Hermes 1 and 2B) and 2 normal melanocyte lines cultured from neonatal foreskin (HEM-N and HEM-LP).

Dataset Information

Gene-level expression data in melanocytes and in melanoma cell lines WM1552C and A375 over-expressing miR211

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets