EGAS00001001145-sc-20150702 - samples
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ABSTRACT:
PROVIDER: EGAD00001001429 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Profiling subclonal architecture and phylogeny in tumors by whole-genome sequence data mining and single-cell genome sequencing
| EGAS00001001145 | EGA
Project description:Genotyping studies suggest that there is genetic variability among P. gingivalis strains, however the extent of variability remains unclear, and the regions of variability have only partially been identified. We previously used heteroduplex analysis of the ribosomal operon intergenic spacer region (ISR) to type P. gingivalis strains in several diverse populations, identifying 6 predominant heteroduplex types and many minor ones. In addition we used ISR sequence analysis to determine the relatedness of P. gingivalis strains to one another, and demonstrated a link between ISR sequence phylogeny and the disease-associated phenotype of P. gingivalis strains. The availability of whole genome microarrays based on the genomic sequence of strain W83 has allowed a more comprehensive analysis of P. gingivalis strain variability, using the entire genome. The objectives of this study were to define the phylogeny of P. gingivalis strains using the entire genome, to compare the phylogeny based on genome content to the phylogeny based on a single locus (ISR), and to identify genes that are associated with the strongly disease-associated strain W83 that could be important for virulence. Keywords: Comparative genomic hybridization
2008-10-09 | GSE13128 | GEO
Project description:Transcription profiling by array of human pancreatic tumors
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Project description:Genotyping studies suggest that there is genetic variability among P. gingivalis strains, however the extent of variability remains unclear, and the regions of variability have only partially been identified. We previously used heteroduplex analysis of the ribosomal operon intergenic spacer region (ISR) to type P. gingivalis strains in several diverse populations, identifying 6 predominant heteroduplex types and many minor ones. In addition we used ISR sequence analysis to determine the relatedness of P. gingivalis strains to one another, and demonstrated a link between ISR sequence phylogeny and the disease-associated phenotype of P. gingivalis strains. The availability of whole genome microarrays based on the genomic sequence of strain W83 has allowed a more comprehensive analysis of P. gingivalis strain variability, using the entire genome. The objectives of this study were to define the phylogeny of P. gingivalis strains using the entire genome, to compare the phylogeny based on genome content to the phylogeny based on a single locus (ISR), and to identify genes that are associated with the strongly disease-associated strain W83 that could be important for virulence. Keywords: Comparative genomic hybridization Comparative genomic analysis of 7 clinically prevalent P. gingivalis strains was performed, using whole genome microarrays based on the sequence of strain W83. Strain W83 was the reference strains and there were 6 test strains. Flip-dye replicates were performed.
2010-05-18 | E-GEOD-13128 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. Understanding of the intratumoral heterogeneity of HCC is instructive for developing personalized therapy and molecular biomarkers. We applied whole exome sequencing to a total of 63 samples from 11 patients to resolve the genetic architecture and subclonal diversification. Notably, spatial genomic diversity was found in all 11 HCC cases, with 33% of the driver mutations being heterogeneous. Temporal dissection of mutational signatures suggested that exogenous and endogenous factors have different contributions in shaping the mutational spectrum during the development of HCC. Moreover, we observed extensive intratumoral epigenetic heterogeneity in HCC, and showed that integrative analysis of both genetic and epigenetic phylogenies could generate more robust resolution of clonal architecture than single profiling approach. Our results also demonstrated prominent epigenetic subclonal diversification even in a stable HCC genome. Together, these findings highlight the widespread intratumoral heterogeneity at both genomic and epigenomic levels in HCC, and provide important molecular foundation for better understanding of the biology and pathogenesis of this malignancy.
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2016-04-07 | E-MTAB-4315 | ExpressionAtlas
Project description:Transcription profiling by array of human subependymal giant cell astrocytoma brain tumors
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Project description:Genome-wide expression profiling of MT1-MMP–overexpressing versus MT1-MMP–silenced cancer cells and a further data mining analysis of the preexisting expression database of 190 human tumors of 14 cancer types led us to identify 11 genes, the expression of which correlated firmly and universally with that of MT1-MMP (P < 0.00001).
2008-06-11 | GSE11668 | GEO