SNP/CNV analysis in a breast cancer metastasis model
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE14867 | GEO | 2009/10/02
SECONDARY ACCESSION(S): PRJNA123195
REPOSITORIES: GEO
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Project description:The Affymetrix SNP/CNV (SNP 6.0) platform was used to analyze a cell line model of lymph node metastasis comprised of a poorly metastatic MDA-MB-468GFP human breast adenocarcinoma cell line and its highly metastatic variant (468LN). DNA derived from 2 biological replicates of a highly metastatic (via lymph nodes) breast cancer cell line (468GFP-LN) was compared to 2 biological replicates of DNA prepared from the parental cell line, 468GFP.
2010-05-20 | E-GEOD-14867 | biostudies-arrayexpress
Project description:Generating sufficient DNA for high-throughput genetic analysis has always been a challenge for clinical settings where the amount of source DNA is limited. Multiple displacement amplification (MDA) has been proposed as a promising candidate for such situations. Previous work with lower-resolution arrays confirmed the utility of single-cell MDA products for large-size (~30 Mb) genome variation screening. We tested the performance of single-cell MDA products on the SNP 6.0 arrays to examine the performance of single-cell MDA in SNP genotyping, copy number polymorphism, de novo copy number variation (CNV) and loss of heterozygosity (LOH) analysis. Our data show that for SNP genotyping, single-cell MDA did not obtain complete genome coverage or high sequence fidelity. For CNV calling, single-cell MDA introduced stochastic amplification artifacts in log2 ratio profiles, reducing the robustness of CNV calling; however, by adjusting smooth window size, it is still possible to analyze large chromosomal aberrations, and homozygous deletions as small as 500 kb can still be identified from the noisy log2 ratio profiles. Our results also suggest that even with a modified protocol (reduction of reaction volume, addition of a molecular crowding reagent, minimization of reaction time), single-cell MDA presented little improvement over the unmodified protocol, but by increasing the number of cells as template to 5M-bM-^@M-^S10 cells, SNP 6.0 array results comparable to those of 10 ng genomic DNA MDA could be obtained. Algorithms like PICNIC improved the CNV calling, suggesting that better algorithms can better utilize single-cell MDA array results. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cell line samples, and multiple displacement samples. Genotyping, Copy number and LOH analysis of Affymetrix SNP 6.0 arrays was performed for 3 samples of unamplified cell line genomic DNA, 2 samples of DNA obtained by multiple displacement amplification from 10ng genomic DNA, 3 single-cell multiple displacement amplification (MDA) products, single cell modified MDA amplification product, 5-cell modified MDA amplification product, 10-cell modified MDA amplification product.
2011-03-25 | E-GEOD-28132 | biostudies-arrayexpress
Project description:Generating sufficient DNA for high-throughput genetic analysis has always been a challenge for clinical settings where the amount of source DNA is limited. Multiple displacement amplification (MDA) has been proposed as a promising candidate for such situations. Previous work with lower-resolution arrays confirmed the utility of single-cell MDA products for large-size (~30 Mb) genome variation screening. We tested the performance of single-cell MDA products on the SNP 6.0 arrays to examine the performance of single-cell MDA in SNP genotyping, copy number polymorphism, de novo copy number variation (CNV) and loss of heterozygosity (LOH) analysis. Our data show that for SNP genotyping, single-cell MDA did not obtain complete genome coverage or high sequence fidelity. For CNV calling, single-cell MDA introduced stochastic amplification artifacts in log2 ratio profiles, reducing the robustness of CNV calling; however, by adjusting smooth window size, it is still possible to analyze large chromosomal aberrations, and homozygous deletions as small as 500 kb can still be identified from the noisy log2 ratio profiles. Our results also suggest that even with a modified protocol (reduction of reaction volume, addition of a molecular crowding reagent, minimization of reaction time), single-cell MDA presented little improvement over the unmodified protocol, but by increasing the number of cells as template to 5–10 cells, SNP 6.0 array results comparable to those of 10 ng genomic DNA MDA could be obtained. Algorithms like PICNIC improved the CNV calling, suggesting that better algorithms can better utilize single-cell MDA array results.
2011-03-25 | GSE28132 | GEO
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Project description:Comparison between the copy number of differentially methylated sites between lymph node metastasis from melanoma patients with good prognosis and melanoma brain metastasis. All samples are taken from different patients, and were established as cell lines in the John Wayne Cancer Institute. Sixteen metastatic melanomas were run on Affymetrix Genome-Wide Human SNP Array 6.0. Lymph node metastases and brain metastases genetic copy number variations were compared.
2013-09-19 | E-GEOD-44019 | biostudies-arrayexpress
Project description:The ideal genome sequence for medical interpretation is complete and diploid, capturing the full spectrum of genetic variation. Toward this end, there has been progress in discovery of single nucleotide polymorphism (SNP) and small (<10bp) insertion/deletions (indels), but annotation of larger structural variation (SV) including copy number variation (CNV) has been less comprehensive, even with available diploid sequence assemblies. We applied a multi-step sequence and microarray-based analysis to identify numerous previously unknown SVs within the first genome sequence reported from an individual. An Illumina SNP array experiment was performed according to the manufacturer's directions on DNA extracted from a lymphoblastoid cell line (HuRef).
2013-02-12 | E-GEOD-20284 | biostudies-arrayexpress
Project description:Reports on common mutations in neuroendocrine tumors (NET) are rare and clonality of NET metastases has not been investigated in this tumor entity yet. We selected a NET and a the corresponding lymph node and liver metastases as well as the derivative cell lines to screen for somatic mutations in the primary NET and to track the fate of genetic changes (by Affymetrix SNP 6.0 micorarray and targeted resequencing by 454 GS FLX) and during metastasis and in vitro progression. using Affymetrix SNP 6.0 Arrays.
2012-07-17 | GSE39371 | GEO
Project description:OncoScan CNV SNP array data for MNG/PTC samples
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Project description:This SuperSeries is composed of the following subset Series: GSE18642: Definitive SNP/CNV haplotype map of Asians determined using a collection of complete hydatidiform moles (Affymetrix) GSE18663: Definitive SNP/CNV haplotype map of Asians determined using a collection of complete hydatidiform moles (Illumina) Refer to individual Series
2010-05-17 | E-GEOD-18701 | biostudies-arrayexpress
Project description:Chordomas are rare, low to intermediate grade malignant bone tumors of the axial skeleton, believed to originate from the notochord. Treatment options are limited and mainly restricted to surgical excision, as chordomas have been proven to be largely resistant to conventional ionizing radiation and chemotherapy. Therefore a new cell line was established. The cell line has been characterized by immunohistochemistry,western blot and karyotyping using cobra fish technology. Copy number variations (CNV) and loss-of heterozygosity (LOH) from fibroblasts, tumor tissue, low and high cell line passage was evaluted by using Affymetrix 6.0SNP Arrays. DNA isolated from the patients MNCs was used as control. The cell line MUG-Chor1 is highly similar to genetic profiles of chordomas and provides therefore a powerful tool for further investigations. Affymetrix SNP 6.0 arrays were performed according to the manufacturer's directions on DNA extracted from cryo material or cell lines. Copy number analysis of Affymetrix SNP 6.0 arrays was performed for 4 samples. 60 samples from HapMap database were used as references for copy number inference.
2012-07-11 | E-GEOD-25720 | biostudies-arrayexpress