Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA123363 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Affymetrix SNP array data for Sézary Syndrome (SS) samples
| PRJNA123369 | ENA
Project description:This SuperSeries is composed of the following subset Series:; GSE17595: Affymetrix SNP array data for Sézary Syndrome (SS) samples; GSE17601: Affymetrix Gene Expression array data for Sézary Syndrome (SS) samples Experiment Overall Design: Refer to individual Series
2009-10-10 | E-GEOD-17602 | biostudies-arrayexpress
Project description:Affymetrix SNP array data for rhabdomyosarcoma samples
| PRJNA269634 | ENA
Project description:Cutaneous T-cell lymphomas are a heterogeneous group of neoplasms originating in the skin, with mycosis fungoides (MF) and Sézary syndrome (SS) representing the most common variants. The cellular origin of cutaneous lymphomas has remained controversial due to their immense phenotypic heterogeneity that obfuscates lineage reconstruction based on classical surface biomarkers. To overcome this heterogeneity and reconstruct the differentiation trajectory of malignant cells in MF and SS, T-cell receptor sequencing was performed in parallel with targeted transcriptomics at the single-cell resolution among cutaneous samples in MF and SS. Unsupervised lineage reconstruction showed that Sézary cells exist as a population of CD4+ T cells distinct from those in patch, plaque, and tumor MF. Further investigation of malignant cell heterogeneity in SS showed that Sézary cells phenotypically comprised at least three subsets based on differential proliferation potentials and expression of exhaustion markers. A Th1 polarized cell type, intermediate cell type, and exhausted Th2 polarized cell type were identified, with Th1 and Th2 polarized cells displaying divergent proliferation potentials. Collectively, these findings provide evidence to clarify the relationship between MF and SS, and reveal cell subsets in SS that suggest a possible mechanism for therapeutic resistance.
2022-12-31 | GSE192836 | GEO
Project description:This study used tumour and paired normal samples from 28 Sézary Syndrome (SS) patients to define recurrent regions of chromosomal aberrations. Our data identified recurrent losses of 17p13.2-p11.2 and 10p12.1-q26.3 occurring in 71 and 68% of cases respectively; common gains were detected for 17p11.2-q25.3 (64%) and chromosome 8/8q (50%). Moreover, we identified novel genomic lesions recurring in more than 30% of tumours: loss of 9q13-q21.33 and gain of 10p15.3-10p12.2. In the Sézary Syndrome cases analysed, we could find several small and few large Uniparental Disomies involving interstitial or telomeric regions of LOH occurring mainly for chromosome 10 and to a lesser extent for chromosome 9 and 17. In the attempt to correlate Copy Number data and clinical parameters we find a relationship between complex pattern of chromosomal aberrations, involving at least three recurrent Copy Number alterations, and shorter survival. Integrating mapping and transcriptional data we were able to identify a total of 113 deregulated transcripts in aberrant chromosomal regions that included cancer related genes such as members of the NF-kB pathway (BAG4, BTRC, NKIRAS2, PSMD3, TRAF2) that might explain its constitutive activation in CTCL. Matching this list of genes with those discriminating patients with different survival times we identify several common candidates that might exert critical roles in Sézary Syndrome, like BUB3 and PIP5K1B. Experiment Overall Design: Affymetrix Gene Expression arrays were performed, according to the manufacturer's directions, on RNA extracted from cryopreserved lymphomonocytes purified by Ficoll density gradient centrifugation and positive selection using anti-human CD3-conjugated dynabeads (tumour samples). Gene expression analyses of Affymetrix HG-U133 A arrays were performed for 32 tumour samples.
2009-10-10 | E-GEOD-17601 | biostudies-arrayexpress
Project description:Affymetrix OncoScan FFPE Array array data from Li-Fraumeni Syndrome tumors
| PRJNA270655 | ENA
Project description:Affymetrix SNP array data for breast cancer samples
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Project description:Affymetrix SNP array data for Monoclonal Gammopathies samples
| PRJNA145921 | ENA