Similar Datasets
Project description:Renal leiomyosarcomas (LMS) are extremely rare neoplasms with aggressive behaviour and poor survival prognosis. The most frequent somatic events in leiomyosarcomas are mutations in TP53, RB1, ATRX and PTEN genes, chromosomal instability and chromoanagenesis. By using chromosomal microarray analysis we identified monosomy of chromosomes 3 and 11, gain of Xp (ATRX) arm and three chromoanasynthesis regions (6q21-q27, 7p22.3-p12.1 and 12q13.11-q21.2), with MDM2 and CDK4 oncogenes copy number gains, whereas no CNVs or tumor specific SNVs in TP53, RB1 and PTEN genes were observed.
2020-06-04 | GSE151766 | GEO
Project description:these are successive array CGH analyses of a case of retroperitonaeal well-differentiated liposarcoma and its four successive dedifferentiated liposarcoma relapses. We observed differences and similarities between the 5 components
2015-01-01 | GSE64597 | GEO
Project description:Our study provides evidence that JAK2, PDL1 and PDL2 are recurrently affected by structural and numerical aberrations in lymphoid neoplasms. The study highlights the role of PDL1/PDL2 in lymphoma progression.
2013-04-13 | GSE46005 | GEO
Project description:We fine-mapped DNA methylation in neuronal nuclei (NeuN+) isolated by flow cytometry from post-mortem frontal cortex of the brain of individuals diagnosed with schizophrenia, bipolar disorder, and controls (n=29, 26, and 28 individuals). These genotype arrays were generated in the same samples to identify genetic-epigenetic interactions.
2019-05-03 | GSE113093 | GEO
Project description:Aspergillary rhinopharyngitis in an equine patient
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Project description:Bacterial community composition and its functional potential in Ulcerative colitis patients: A case study
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Project description:Despite the widespread adoption of ChIP-seq there is still no consensus on quality assessment metrics. No single published metric can reliably discriminate the success or failure of an experiment, thus hampering objectivity and reproducibility of quality control. We introduce a new framework for ChIP-seq data quality assessment that overcomes the limitation of previous solutions. Our tool called "ChIC" incorporates a novel set of quality control metrics integrated into one single score summarizing the sample quality and a reference compendium with thousands of published ChIP-seq samples, for easier evaluation of new data. This test dataset contain an example of succesfull and non-succesfull ChIP-seq sample for mouse H3K27me3.
2024-12-12 | GSE119932 | GEO