Ontology highlight
ABSTRACT:
PROVIDER: PRJNA289654 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:mRNA Expression data from human Ewing's sarcoma (ES)
| PRJNA289725 | ENA
Project description:microRNA Expression data from human Ewing's sarcoma (ES)
| PRJNA289726 | ENA
Project description:Ewing’s sarcoma (ES) is a highly aggressive bone tumor, and the second most prevalent pediatric bone malignancy. The presence of metastasis at diagnosis decreases the three-year survival rate to 20% and contributes to diminished prognosis. Researches are indispensable for the early characterization of the disease and prediction of metastatic-prone patients, through biomarkers identification. Moreover, there is currently no available data on ES utilizing non-biopsy samples, such as plasma. This study utilizes a proteomic analysis of Ewing's sarcoma patient’s plasma samples and biopsies. Initially, the ES group was compared with the control counterpart. In a next step, the ES arm was further stratified into either initially metastatic and non-metastatic, or poor and good chemotherapy responder groups to identify protein expression profiles that can predict metastatic proneness and chemotherapy response, respectively.
2023-12-19 | PXD035812 | Pride
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.
2012-06-12 | GSE37370 | GEO
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.
2012-06-11 | E-GEOD-37370 | biostudies-arrayexpress
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.
2012-06-11 | E-GEOD-37371 | biostudies-arrayexpress
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).
2012-06-12 | GSE37371 | GEO
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
2012-06-11 | E-GEOD-37372 | biostudies-arrayexpress
Project description:Affymetrx U95Av2 GeneChip hybridizations, RNA extracted from primary human pediatric alveolar (aRMS) and embryonal (eRMS) rhabdomyosarcoma, plus primary pediatric Ewing's sarcoma (EWS) Keywords = pediatric sarcoma Keywords = Ewing's sarcoma Keywords = rhabdomyosarcoma Keywords: other
2004-03-13 | GSE967 | GEO
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
2011-07-31 | E-GEOD-20368 | biostudies-arrayexpress