U2OS array-CGH
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE11411 | GEO | 2009/05/01
SECONDARY ACCESSION(S): PRJNA109225
REPOSITORIES: GEO
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Project description:Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes.This a-CGH is a part of an expriment whose aim was to identify, genomic imbalance, DNA methylation and gene expression profiles in a panel osteosarcoma tumors. Keywords: comparative genomic hybridization
2009-09-08 | GSE12830 | GEO
Project description:Background: Osteosarcoma (OS) tumors and derived cell lines are characterized by complex chromosomal abnormalities. The availability of molecular genome profiling techniques such as array CGH have markedly enabled the high-resolution genome analysis of tumor genomes, as well as helped elucidate the mechanisms leading to their complexity. The identification of tumor-specific genomic profiles is currently the focus of many array CGH studies, but there have been no analyses to date documenting the genomic signatures consistent with chromosomal instability mechanisms in OS. Results: In this study we utilized high-resolution oligonucleotide array CGH to interrogate recurrent signatures of genomic imbalance in 10 OS tumors that were consistent with the breakage fusion bridge(BFB) mechanism. Comparative analysis of the tumors showed that they exhibited varying levels of genomic imbalance. The analysis also highlighted three chromosomal regions (6p21 ~ p22, 8q24 and 17p11.2 ~ p12) that were consistently involved in high level gain or amplification events. These three regions have been previously shown by us to be not only involved in high-level imbalance in OS-derived cell lines, but also to exhibit similar imbalance profiles consistent with BFB-related events. Karyotype and dual-color FISH analysis showed that repeated rearrangements of these unstable chromosomes through BFB cycles may create a heterogeneous pattern of copy number alterations. Conclusions: This genome-wide analysis is the first to utilize oligonucleotide array CGH and FISH analysis to derive possible genomic signatures of chromosomal instability in OS tumors. Perpetuation of the BFB cycle will create a heterogeneous pattern of copy number alterations by repeated rearrangement of the unstable tumor genome., thereby generating diverse phenotypes The resulting phenotypic diversity can generate tumors with a propensity for an aggressive disease course. A better understanding of the underlying mechanisms events leading to tumor development could result in the identification of prognostic markers and therapeutic targets. Keywords: osteosarcoma, chromosomal instability, gene amplification, breakage-fusion-bridge cycle, oligonucleotide array comparative genomic hybridization
2007-11-21 | GSE9654 | GEO
Project description:Background: Osteosarcoma (OS) tumors and derived cell lines are characterized by complex chromosomal abnormalities. The availability of molecular genome profiling techniques such as array CGH have markedly enabled the high-resolution genome analysis of tumor genomes, as well as helped elucidate the mechanisms leading to their complexity. The identification of tumor-specific genomic profiles is currently the focus of many array CGH studies, but there have been no analyses to date documenting the genomic signatures consistent with chromosomal instability mechanisms in OS. Results: In this study we utilized high-resolution oligonucleotide array CGH to interrogate recurrent signatures of genomic imbalance in 10 OS tumors that were consistent with the breakage fusion bridge(BFB) mechanism. Comparative analysis of the tumors showed that they exhibited varying levels of genomic imbalance. The analysis also highlighted three chromosomal regions (6p21 ~ p22, 8q24 and 17p11.2 ~ p12) that were consistently involved in high level gain or amplification events. These three regions have been previously shown by us to be not only involved in high-level imbalance in OS-derived cell lines, but also to exhibit similar imbalance profiles consistent with BFB-related events. Karyotype and dual-color FISH analysis showed that repeated rearrangements of these unstable chromosomes through BFB cycles may create a heterogeneous pattern of copy number alterations. Conclusions: This genome-wide analysis is the first to utilize oligonucleotide array CGH and FISH analysis to derive possible genomic signatures of chromosomal instability in OS tumors. Perpetuation of the BFB cycle will create a heterogeneous pattern of copy number alterations by repeated rearrangement of the unstable tumor genome., thereby generating diverse phenotypes The resulting phenotypic diversity can generate tumors with a propensity for an aggressive disease course. A better understanding of the underlying mechanisms events leading to tumor development could result in the identification of prognostic markers and therapeutic targets. Experiment Overall Design: 10 OS tumor samples were used; fluor-flip was performed with normal human DNA as control
2008-06-16 | E-GEOD-9654 | biostudies-arrayexpress
Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Keywords: comparative genomic hybridization (array CGH)
2007-12-31 | GSE7077 | GEO
Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Experiment Overall Design: This genome-wide analysis is the first study to utilize oligonucleotide array CGH to identify microaberrations in OS, likely to contain genes involved in OS tumor oncogenesis. A better understanding of the underlying molecular genetic events leading to tumor initiation and progression could result in the identification of prognostic markers and therapeutic targets.
2008-06-18 | E-GEOD-7077 | biostudies-arrayexpress
Project description:This entry is part of a study comparing various array CGH platforms. In addition to the submitted data the following BT474 profiles were analyzed in this study: GSM69198 , GSM73557 and data from http://research.dfci.harvard.edu/meyersonlab/snp/snp.htm Keywords: Comparitive Genomic Hybridization (CGH) Platform Comparison
2007-02-15 | GSE6415 | GEO
Project description:Albinism Family Array CGH Data
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Project description:The dataset comprises array CGH data of 64 prostate cancer specimens performed on Stanford cDNA microarrays, to accompany the study of J Lapointe et al (2007). For each array, Channel 2 represents Cy5-labeled prostate genomic DNA, and Channel 1 Cy3-labeled normal male genomic DNA. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set, array CGH
2007-10-03 | GSE6469 | GEO
Project description:A series of studies have been published that evaluate the chromosomal copy number changes of different tumor classes using array Comparative Genomic Hybridization (array CGH), however the chromosomal aberrations that distinguish the different tumor classes have not been fully characterized. Therefore, we performed a meta-analysis of different array CGH data sets in an attempt to classify samples tested across different platforms. As opposed to RNA expression a common reference is used in dual channel CGH arrays: normal human DNA, theoretically facilitating cross-platform analysis. To this aim, cell line and primary cancer data sets from three different dual channel array CGH platforms obtained by four different institutes were integrated. The cell line data were used to develop preprocessing methods which performed noise reduction and transformed samples into a common format. The transformed array CGH profiles allowed perfect clustering by cell line, but importantly not by platform or institute. The same preprocessing procedures used for the cell line data were applied to data from 373 primary tumors profiled by array CGH, including controls. Results indicated that there is no apparent feature related to the institute or platform and that array CGH allows for unambiguous cross-platform meta-analysis. Major clusters with common tissue origin were identified. Interestingly, tumors of hematopoietic and mesenchymal origins cluster separately from tumors of epithelial origin. Therefore it can be concluded that chromosomal aberrations of tumors from hematopoietic and mesenchymal origin versus tumors of epithelial origin are distinct, and these differences can be picked up by metaanalysis of array CGH data. This suggests the possibility of prospectively using combined analysis of diverse copy number datasets for cancer subtype classification. Keywords: comparative genomic hybridization, meta-analysis, cancer
2006-08-29 | GSE5051 | GEO
Project description:Array Comparative Genomic Hybridization (CGH) profiling of Oral Sqaumaous Cell Carcinoma (OSCC) was performed to delineate candidate non-random chromosomal loci associated with clinico-pathological parameters. The array CGH hybridizations were performed for 60 OSCC samples with pooled gender matched controls. All tissue samples were collected after obtaining written informed consent.
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