Project description:We established and characterized 24 lung cancer cell lines from Taiwan lung cancer specimens or pleural effusions. Three EGFR-mutant TKI-sensitive parental cell lines were cultured in gefitinib following well-established TKI dose-escalation protocols. 20 Caucasian lung cancer cell lines are purchased from the American Type Culture Collection and National Cancer Institute. We conducted 44 lung cancer cell lines with copy number variation, EGFR status and invasion ability.
Project description:Characterization of copy number alterations and unbalanced breakpoints in human esophageal squamous cell carcinoma cell lines by array-based comparative genomic hybridization.
Project description:In order to benchmark the reproducibility of Affymetrix Genome-Wide Human SNP Array 6.0 for detecting copy-number alterations, we performed replicate hybridizations of 3 tumor cell lines and 2 paired normal cell lines obtained from the American Type Culture Collection (ATCC). We calculated copy numbers at each SNP probeset by a custom copy-number pipeline (PMID: 18772890). For each cell line, copy number data from replicate arrays are supplied in the accompanying matrix files. For each SNP probeset, we calculated the median copy number across replicate arrays. We compared the copy-number alterations detected by Circular Binary Segmentation segmentation of these arrays with statistical analyses of short sequence reads obtained from the Illumina/Solexa 1G GenomeAnalyzer. Shotgun sequencing results can be found in the NCBI Short Read Archive, accession number SRP000246 Keywords: disease state analysis
Project description:In order to benchmark the reproducibility of Affymetrix 238K Sty arrays for detecting copy-number alterations. We performed replicate hybridizations of 3 tumor cell lines and 2 paired normal cell lines obtained from the American Type Culture Collection (ATCC). We calculated copy numbers at each SNP probeset by array pre-processing with the GISTIC algorithm (PMID: 18077431). For each SNP probeset, we calculated the median copy number across replicate arrays. The median copy number profile for each tumor cell line was segmented with the GLAD algorithm (PMID: 15381628) to partition the genome into regions of constant copy number. We compared the copy-number alterations detected by GLAD segmentation of these arrays with statistical analyses of short sequence reads obtained from the Illumina/Solexa 1G GenomeAnalyzer. Shotgun sequencing results can be found in the NCBI Short Read Archive, accession number SRP000246. Keywords: disease state analysis
Project description:To analyze the global copy number aberrations of two nasopharyngeal carcinoma cell lines, TW01 and HONE1. Global copy number aberrations were analyzed by using high-resolution oligoarray CGH on two NPC cell lines, TW01 and HONE1. The overviews of array CGH profiles reveal high similarity between both NPC cell lines, but the degree of copy-number alterations were more severe in TW01 than in HONE1. There were 1204 and 1513 genes with copy-number gain (CNVs with aberration score > 0.5 and number of contiguous probes ≥ 3) in TW01 and HONE1, respectively. Among them, 850 were commonly amplified in both cell lines (Gain-TH). There were 3525 genes and 926 genes with copy-number loss (CNVs with aberration score < 0.5 and number of contiguous probe ≥ 3) in TW01 and HONE1, respectively. Among them, 582 were commonly deleted in both cell lines (Loss-TH). The most prominent CNVs observed including gain on 3q26.2-q26.31, loss on 3p21.2-q12.1, 9p24.3-p21.3, and nearly the whole Y chromosome.
Project description:The genomic loci with copy number alterations are known to harbor cancer genes. We investigated a comprehensive panel of gastric cancer cell lines for their genome-wide copy number alterations. Eighteen gastric cancer cell lines were profiled using Affymetrix 500K SNP arrays. For copy number calculation, seven independent normal blood samples were profiled together. The copy numbers were calculated genome-wide, in these cell lines with high resolution and reveal the cell line specific amplification and copy number changes.
Project description:Characterization of copy number alterations and unbalanced breakpoints in human esophageal squamous cell carcinoma cell lines by array-based comparative genomic hybridization. Six cell lines
Project description:Five NPC cell lines (HONE1, CNE1, CNE2, 5-8F, and 6-10B) and an immortalized nasopharyngeal epithelial cell line NP69 were evaluated with 250K SNP arrays (Affymetrix) to detect the genome-wide DNA copy number alterations.
Project description:Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). RESULTS: There were discrete differences in gene expression patterns between AS and AI cells that were not limited to androgen-responsive genes. AI cells displayed more DNA copy number changes, especially amplifications, than AS cells. The gene expression profiles of cell lines showed limited similarities to prostate tumors harvested at surgery. CONCLUSIONS: AS and AI cell lines are different in their transcriptional programs and degree of DNA copy number alterations. This dataset provides a context for the use of prostate cancer cell lines as models for clinical cancers. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set