Project description:Ewing sarcoma a rare pediatric tumor characterized by EWSR1-ETS fusions. We performed expression profiling of both miRNA and mRNA from the same Ewing's sarcoma tumors. We propose a novel statistical measure of non-linear dependence between miRNA and mRNA expression, In order to infer miRNA-target interactions. This approach, That we name antagonism pattern detection, Is based on the statistical recognition of a triangular-shaped pattern in miRNA-target expression profiles. This pattern is observed in miRNA-target expression measurements since their simultaneously elevated expression is statistically under-represented in the case of miRNA silencing effect. The proposed method enables miRNA target prediction to strongly rely on cellular context and physiological conditions reflected by expression data. Expression profiling of Ewing sarcoma samples in the frame of the CIT program from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net).
Project description:Ewing sarcoma a rare pediatric tumor characterized by EWSR1-ETS fusions. We performed expression profiling of both miRNA and mRNA from the same Ewing's sarcoma tumors. We propose a novel statistical measure of non-linear dependence between miRNA and mRNA expression, In order to infer miRNA-target interactions. This approach, That we name antagonism pattern detection, Is based on the statistical recognition of a triangular-shaped pattern in miRNA-target expression profiles. This pattern is observed in miRNA-target expression measurements since their simultaneously elevated expression is statistically under-represented in the case of miRNA silencing effect. The proposed method enables miRNA target prediction to strongly rely on cellular context and physiological conditions reflected by expression data.
Project description:This SuperSeries is composed of the following subset Series: GSE37370: microRNA expression data from Ewing's sarcoma tumor samples GSE37371: Expression data from Ewing's sarcoma tumor samples Refer to individual Series
Project description:Ewing sarcoma a rare pediatric tumor characterized by EWSR1-ETS fusions. We performed expression profiling of both miRNA and mRNA from the same Ewing's sarcoma tumors. We propose a novel statistical measure of non-linear dependence between miRNA and mRNA expression, In order to infer miRNA-target interactions. This approach, That we name antagonism pattern detection, Is based on the statistical recognition of a triangular-shaped pattern in miRNA-target expression profiles. This pattern is observed in miRNA-target expression measurements since their simultaneously elevated expression is statistically under-represented in the case of miRNA silencing effect. The proposed method enables miRNA target prediction to strongly rely on cellular context and physiological conditions reflected by expression data. Expression profiling of Ewing sarcoma samples in the frame of the CIT program from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). Total RNAs issued of 39 Ewing tumors were used for mRNA and miRNA microarray analyses. The mRNA data were collected using the Affymetrix GeneChip HG-U133A and Affymetrix GeneChip HG-U133Plus2.
Project description:Ewing sarcoma a rare pediatric tumor characterized by EWSR1-ETS fusions. We performed expression profiling of both miRNA and mRNA from the same Ewing's sarcoma tumors. We propose a novel statistical measure of non-linear dependence between miRNA and mRNA expression, In order to infer miRNA-target interactions. This approach, That we name antagonism pattern detection, Is based on the statistical recognition of a triangular-shaped pattern in miRNA-target expression profiles. This pattern is observed in miRNA-target expression measurements since their simultaneously elevated expression is statistically under-represented in the case of miRNA silencing effect. The proposed method enables miRNA target prediction to strongly rely on cellular context and physiological conditions reflected by expression data. Total RNAs issued of 39 Ewing tumors were used for mRNA and miRNA microarray analyses. The microRNA data were collected using the Illumina human-6 V1 BeadChip.
Project description:To explore possible oncogenic factors in ES, we used a microarray-based approach to profile changes in the expression of mRNAs in five ES cell lines and human mesenchymal stem cells (hMSCs). We used a microarray-based approach to profilein the mRNA expression of ES
Project description:The fusion oncoprotein EWS-FLI1 arises from a t(11;22)(q24;q12) chromosomal translocation and causes Ewing's Sarcoma, a malignant bone tumor. The mechanism whereby EWS-FLI1 transforms cells is unknown. Somatic, mosaic expression of human EWS-FLI1 in zebrafish from the heat shock promoter [Tg(HSP:EWS-FLI1)] caused small round blue cell tumors (SRBCTs) similar to human Ewing's sarcoma. We performed microarray studies comparing zebrafish SRBCTs to another tumor type, zebrafish malignant peripheral nerve sheath tumors (MPNSTs). The results identify a conserved set of EWS-FLI1-regulated genes,and provide insight into the pathogenesis of Ewing's Sarcoma tumors.
Project description:Exosomes are small RNA and protein containing vesicles that can mediate hetero- and homotypic intercellular communication between normal and malignant cells. Especially, tumor-derived exosomes are believed to mediate reprogramming of the tumor-associated stroma to favor tumor growth and metastasis. In this study we isolated exosomes from three different Ewing’s sarcoma (ES) cell lines by ultracentrifugation. Microarray analysis of ES-derived exosomes and their parental cells was performed to gain insight into the spectrum of transcripts they contain and the functions in which these transcripts might be involved in. In total we analyzed six different samples consisting of three pairs of exosomal and cellular RNA of different Ewing's sarcoma cell lines.
Project description:This SuperSeries is composed of the following subset Series: GSE20355: BAC-microarrays aCGH data from 67 Ewing's Sarcoma tumor samples and 16 Ewing's Sarcoma cell lines GSE20356: Evaluation of copy number alterations in the Ewing's Sarcoma cell line SKES1 with Affymetrix 500k SNP microarray GSE20357: Expression data from DTL silenced-Ewing Sarcoma's cell lines along with their controls Refer to individual Series