CGH microarray analysis of human prostate adenocarcinoma and normal samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE24282 | GEO | 2010/09/23
SECONDARY ACCESSION(S): PRJNA133717
REPOSITORIES: GEO
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Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled for copy number with the Agilent 244A CGH Array to support a study of deep transcriptional sequencing on these samples. Two-condition experiment: Prostate adenocarcinoma versus matched normal from three separate patients.
2010-09-23 | E-GEOD-24282 | biostudies-arrayexpress
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2009-08-15 | GSE15093 | GEO
Project description:Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “non-random” genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC. (Harada et al. Pancreatology) Keywords: pancreatic ductal adenocarcinima, tissue microdissection, array CGH, genetic alterations
2008-12-17 | GSE9672 | GEO
Project description:Genome wide gene expression profiling of lung adenocarcinoma and non-tumor adjacent tissues. The Agilent microarray was used to obtain gene expression profiles. Samples included eight lung cancer and adjacent non-tumor tissues excised from a cohort of 8 patients with lung adenocarcinoma.
2017-03-09 | GSE85841 | GEO
Project description:Genome wide lncRNA and mRNA expression profiling of lung adenocarcinoma and non-tumor adjacent tissues. The Agilent microarray was used to obtain gene expression profiles. Samples included eight lung cancer and adjacent non-tumor tissues excised from a cohort of 8 patients with lung adenocarcinoma.
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Project description:Background: Clinical characteristics of ovarian clear cell adenocarcinoma (CCC) include 1) higher incidence among Japanese, 2) association with endometriosis, 3) poor prognosis in advanced stage, 4) higher incidence of thrombosis as complication. We applied high resolution comparative genomic hybridization (CGH) array to screen somatic copy number alterations (SCNAs) associated with these clinical characteristics. Methods: We conducted a prospective cohort study. DNA obtained from tumors was assayed by array comparative genomic hybridization using Agilent Whole Human Genome 244K. 117 tumor samples were analyzed by Agilent-G4411B Human Genome CGH Microarray Kit 244A. Log2 Ratio (tumor sample DNA/normal DNA) were compared between Japanese and non-Japanese, between patients with thrombosis and without thrombosis, between patients with endometriosis and without endometriosis, among patients sensitive to, intermediate to and resistant to the chemotherapy, among FIGO stages, between relapsed and not relapsed, between survived and not survived.
2014-06-10 | E-GEOD-58342 | biostudies-arrayexpress
Project description:Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “non-random” genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC. (Harada et al. Pancreatology) Keywords: pancreatic ductal adenocarcinima, tissue microdissection, array CGH, genetic alterations A panel of 23 microdissected PDAC tissues and 6 PDAC-derived cell lines were analysed using Sanger's CGH arrays with 1 Mb resolution. Clinical info of the samples used is provided as a supplementary file.
2008-12-16 | E-GEOD-9672 | biostudies-arrayexpress
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled by deep transcriptional sequencing to analyze transcription-induced chimeras and gene fusions. Reference samples from the MAQC and brain and universal reference libraries were also sequenced.
2010-09-23 | GSE24283 | GEO
Project description:To determine the involvement of Copy Number Variants (CNVs) in the origin of male infertility, patients with idiopathic severe oligozoospermia, Sertoli-cell-only syndrome and controls with normozoospermia were analysed by array CGH using the 244A/400K array sets (Agilent Technologies).
2011-03-17 | GSE27965 | GEO
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled by deep transcriptional sequencing to analyze transcription-induced chimeras and gene fusions. Reference samples from the MAQC and brain and universal reference libraries were also sequenced. Two-condition experiment plus reference samples: Prostate adenocarcinoma versus matched normal from three separate patients, plus brain and universal reference samples from the MAQC project.
2010-09-23 | E-GEOD-24283 | biostudies-arrayexpress