EGAS00001000266-sc-20130123 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001000333 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Cancer is driven my mutations in the genome. We will uncover the mutations that give rise to Ewings sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewings sarcoma tumours.
2016-05-18 | E-ERAD-65 | biostudies-arrayexpress
Project description:Cancer is driven by mutations in the genome. We will uncover the mutations that give rise to Ewing's sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewing's sarcoma tumours.
| EGAD00001000389 | EGA
Project description:Cancer is driven my mutations in the genome. We will uncover the mutations that give rise to Ewing's sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewing's sarcoma tumours.
| EGAD00001000444 | EGA
Project description:Cancer is driven my mutations in the genome. We will uncover the mutations that give rise to Ewing’s sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewings’ sarcoma tumours.
| EGAS00001000267 | EGA
Project description:Cancer is driven by mutations in the genome. We will uncover the mutations that give rise to Ewing’s sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewings’ sarcoma tumours.
| EGAS00001000266 | EGA
Project description:Cancer is driven by mutations in the genome. We will uncover the mutations that give rise to Ewing’s sarcoma, a bone tumour that largely affects children. We will use second generation Illumina massively parallel sequencing, and bespoke software, to characterise the genomes and transcriptomes of Ewings’ sarcoma tumours.
| EGAS00001000362 | EGA
Project description:Ewing sarcoma, a rare and aggressive pediatric cancer, is characterized by chromosomal translocations that give rise to chimeric transcription factors. The most frequent of these chromosomal translocations is the t(11;22) that produces the fusion of the EWSR1 and FLI1 genes to generate the chimeric transcription factor EWSR1::FLI1. EWSR1::FLI1 is the main oncogenic event in Ewing's sarcoma. Recently, it has been proposed that EWSR1::FLI1 levels may fluctuate in Ewing sarcoma cells, giving rise to two cell populations: cells expressing low levels of EWSR1::FLI1 are characterized by a more migratory and invasive phenotype, while cells expressing high levels of EWSR1::FLI1 are more proliferative. The identification and functional characterization of EWSR1::FLI1 gene targets is therefore relevant to understanding the pathobiology of Ewing sarcoma, which in turn could contribute to the identification of new therapeutic targets. Using this approach, we have observed that CD44, a transmembrane protein involved in cell adhesion and migration and associated with metastasis in various cancer types, is overexpressed in the EWSR1::FLI1-low phenotype. Our results suggest that CD44 may play a role in regulating cell migration in Ewing sarcoma cells and thus contribute to the spread of tumor cells.
2023-07-25 | GSE232739 | 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
Project description:Ewing sarcoma is an aggressive malignancy characterized by oncogenic rearrangements of the EWS gene with an ETS-family transcription factor, most commonly FLI. Recent comprehensive next-generation sequencing efforts have revealed few other highly recurrent mutations in this disease apart from loss-of-function mutations in STAG2 which occur in 15-20% of tumors. STAG2 is a member of the cohesin complex, which regulates sister chromatid alignment during mitosis and epigenetic regulation of gene expression. While some studies suggest that loss of STAG2 is associated with the development of aneuploidy, this is not the case in Ewing sarcoma. To investigate whether STAG2 loss affects epigenetic regulation of gene expression in Ewing sarcoma, we developed isogenic Ewing sarcoma cell lines with STAG2 knockout. We found that Ewing sarcoma cells engineered for loss of STAG2 maintain an intact cohesion complex that alternately incorporates STAG1.
2021-05-14 | GSE165977 | 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. 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