Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA108131 | ENA |
REPOSITORIES: ENA
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Project description:T-cell prolymphocytic leukemina (T-PLL) is an agressive lymphoma derived from mature T-cells, which is in most cases characterized by the presence of an inv(14)(q11q32) and a characteristic pattern of secondary chromosomal abberations. We used microarrays to compare the transcriptomes of eight immunomagnetically purified CD3+ normal donor derived peripheral blood cells with five highly purified inv(14)-positive T-PLL blood samples. Experiment Overall Design: Purified T-PLL cells and normal T-cells were analyzed on microarrays to identify differentially expressed genes. High-resolution copy number determination using SNP-chip technology and FISH in twelve inv(14)-positive T-PLL showed that differentially expressed genes clustered significantly in regions affectd by recurrent chromosomal imbalances.
2008-12-10 | E-GEOD-5788 | biostudies-arrayexpress
Project description:T-cell prolymphocytic leukemia (T-PLL) is a rare aggressive lymphoma derived from mature T cells, which is, in most cases, characterized by the presence of an inv(14)(q11q32)/t(14;14)(q11;q32) and a characteristic pattern of secondary chromosomal aberrations. DNA microarray technology was employed to compare the transcriptomes of eight immunomagnetically purified CD3+ normal donor-derived peripheral blood cell samples, with five highly purified inv(14)/t(14;14)-positive T-PLL blood samples. Between the two experimental groups, 734 genes were identified as differentially expressed, including functionally important genes involved in lymphomagenesis, cell cycle regulation, apoptosis and DNA repair. Notably, the differentially expressed genes were found to be significantly enriched in genomic regions affected by recurrent chromosomal imbalances. Upregulated genes clustered on chromosome arms 6p and 8q, and downregulated genes on 6q, 8p, 10p, 11q and 18p. High-resolution copy-number determination using single nucleotide polymorphism chip technology in 11 inv(14)/t(14;14)-positive T-PLL and 1 without the inv(14) including those analyzed for gene expression, refined chromosomal breakpoints as well as regions of imbalances. In conclusion, combined transcriptional and molecular cytogenetic profiling identified novel specific chromosomal loci and genes that are likely to be involved in disease progression and suggests a gene dosage effect as a pathogenic mechanism in T-PLL. Each Sample has its raw data file linked as a supplementary file. Experiment Overall Design: 12 T-cell prolymphocytic leukaemia samples were hybridized to 50K_Xba SNP arrays.
2008-04-10 | E-GEOD-10387 | biostudies-arrayexpress
Project description:T-cell prolymphocytic leukemia (T-PLL) is a rare aggressive lymphoma derived from mature T cells, which is, in most cases, characterized by the presence of an inv(14)(q11q32)/t(14;14)(q11;q32) and a characteristic pattern of secondary chromosomal aberrations. DNA microarray technology was employed to compare the transcriptomes of eight immunomagnetically purified CD3+ normal donor-derived peripheral blood cell samples, with five highly purified inv(14)/t(14;14)-positive T-PLL blood samples. Between the two experimental groups, 734 genes were identified as differentially expressed, including functionally important genes involved in lymphomagenesis, cell cycle regulation, apoptosis and DNA repair. Notably, the differentially expressed genes were found to be significantly enriched in genomic regions affected by recurrent chromosomal imbalances. Upregulated genes clustered on chromosome arms 6p and 8q, and downregulated genes on 6q, 8p, 10p, 11q and 18p. High-resolution copy-number determination using single nucleotide polymorphism chip technology in 11 inv(14)/t(14;14)-positive T-PLL and 1 without the inv(14) including those analyzed for gene expression, refined chromosomal breakpoints as well as regions of imbalances. In conclusion, combined transcriptional and molecular cytogenetic profiling identified novel specific chromosomal loci and genes that are likely to be involved in disease progression and suggests a gene dosage effect as a pathogenic mechanism in T-PLL. Each Sample has its raw data file linked as a supplementary file. Keywords: disease state analysis
2008-02-07 | GSE10387 | GEO
Project description:Chromosomal abnormalities have been identified in some individuals with Autism Spectrum Disorder (ASD), but their full etiologic role is unknown. Submicroscopic copy number variation (CNV) represents a considerable source of genetic variation in the human genome that contributes to phenotypic differences and disease susceptibility. To explore the contribution CNV imbalances in ASD, we genotyped unrelated ASD index cases using the Affymetrix GeneChip® 500K single nucleotide polymorphism (SNP) mapping array. Keywords: Whole Genome Mapping SNP Genotyping Array
2007-12-20 | GSE9222 | GEO
Project description:A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide dosage effect on gene and microRNA expression Multiple myeloma (MM) is characterized by marked genomic instability. Beyond structural rearrangements, a relevant role in its biology is represented by allelic imbalances leading to significant variations in ploidy status. To better elucidate the genomic complexity of MM, we analyzed a panel of 45 patients using combined FISH and microarray approaches. Using a self-developed procedure to infer exact local copy numbers for each sample, we identified a significant fraction of patients showing marked aneuploidy. A conventional clustering analysis showed that aneuploidy, chromosome 1 alterations, hyperdiploidy and recursive deletions at 1p and chromosomes 13, 14 and 22 were the main aberrations driving samples grouping. Then, we integrated mapping information with gene and microRNAs expression profiles: a multiclass analysis of the identified clusters showed a marked gene-dosage effect, particularly concerning 1q transcripts, also confirmed by correlating gene expression levels and local copy number alterations. A wide dosage effect affected also microRNAs, indicating that structural abnormalities in MM closely reflect in their expression imbalances. Finally, we identified several loci in which genes and microRNAs expression correlated with loss-of-heterozygosity occurrence. Our results provide insights into the composite network linking genome structure and gene/microRNA transcriptional features in MM. Keywords: Integrated genomics approach based on SNP microarray and FISH procedures to detect allelic imbalances in multiple myeloma.
2009-05-16 | GSE16121 | GEO
Project description:A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide dosage effect on gene and microRNA expression This SuperSeries is composed of the following subset Series: GSE13591: Integrated genomics approach to detect allelic imbalances in multiple myeloma GSE16121: Integrated genomics approach to detect allelic imbalances in multiple myeloma, SNP data Refer to individual Series
2009-05-16 | E-GEOD-16122 | biostudies-arrayexpress
Project description:Renal epithelial neoplasms have characteristic chromosomal imbalances that can be used for classification. We have previously shown that virtual karyotypes (v-karyotype) derived from SNP microarrays can be performed on formalin-fixed paraffin embedded (FFPE) tissue samples but a direct comparison with karyotypes obtained by conventional cytogenetics has not been done. 20 archival FFPE tumor samples were analyzed with Affymetrix 10K 2.0 or 250K Nsp SNP microarrays.
2009-02-19 | GSE12808 | GEO
Project description:A Cartes dM-^RIdentite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net/). This study aims to determine candidate genes and chromosomal imbalances capable of predicting occurrence of metastasis in patients with rectal cancer.
2014-03-28 | E-MTAB-2387 | biostudies-arrayexpress
Project description:We investigated chromosomal imbalances in samples from patients with androgen insensitive prostate cancer. 4 archival FFPE tumor samples were analyzed with Affymetrix 250K Nsp SNP microarrays and virtual-karyotype results for PTEN region were compared to PTEN deletion analysis by FISH.
2010-04-03 | E-GEOD-13439 | biostudies-arrayexpress
Project description:Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC. Tumor resection specimens from 17 patients were profiled by virtual karyotyping with Affymetrix 10K 2.0 or 250K Nsp SNP Mapping arrays and were also evaluated independently by a panel of seven genito-urinary pathologists. Tumors were classified by the established pattern of genomic imbalances based on a reference cohort of 98 cases with classic morphology and compared to the morphologic diagnosis of the pathologist panel. In 3 cases, samples from areas with different morphologic appearance were also tested (n=5).
2009-03-13 | E-GEOD-14670 | biostudies-arrayexpress