Similar Datasets
Project description:allele call files from analysis of NCI60 cell line DNA on 100K SNP arrays. Keywords = NCI60, SNP array, cancer cell line Keywords: other
2005-07-02 | GSE2520 | GEO
Project description:Allele call files from on 250K StyI SNP array using DNA from 60 human cell lines from metastasized melanoma and from 44 corresponding peripheral blood mononuclear cells (CEL and CHP files provided).
2010-04-13 | GSE17534 | GEO
Project description:SNP array_YW-JTH_NCOMMS-18-17273A
| PRJNA515760 | ENA
Project description:The Ivy Glioblastoma Atlas Project (Ivy GAP) is a detailed anatomically based transcriptomic atlas of human glioblastoma tumors. As collaborators, the Ivy Foundation funded the Allen Institute and the Swedish Neuroscience Institute to design and create the atlas. The Paul G. Allen Family Foundation also supported the project. This resource consists of a viewer interface that resolves the manually- and machine-annotated histologic images (H&E and RNA in situ hybridization) at 0.5 µm/pixel, a transcriptome browser to view and mine the anatomically-based RNA-Seq samples, an application programming interface, help documentation that describes the methods and how to use the resource, as well as SNP array data and the supporting longitudinal clinical information and MRI time course data. The resource is made available to the public without charge as part of the Ivy GAP (http://glioblastoma.alleninstitute.org/) via the Allen Institute data portal (http://www.brain-map.org), the Ivy GAP Clinical and Genomic Database (http://ivygap.org/) via the Swedish Neuroscience Institute (http://www.swedish.org/services/neuroscience-institute), and The Cancer Imaging Archive (https://wiki.cancerimagingarchive.net/display/Public/Ivy+GAP). The Ivy GAP processed data at GEO includes normalized RNA-Seq FPKM files used for analysis in "An anatomic transcriptional atlas of glioblastoma,” which is under review. Other processed data files as well as sample and donor meta-data and QC metrics are available at http://glioblastoma.alleninstitute.org/static/download.html. The raw RNA-Seq and SNP array data will be submitted to dbGaP.
2017-12-01 | GSE107558 | GEO
Project description:To identify signaling pathways that are differentially regulated in human gliomas, a microarray analysis on 30 brain tumor samples (12 primary glioblastomas (GBM), 3 secondary glioblastomas (GBM-2), 8 astrocytomas (Astro) and 7 oligodendrogliomas (Oligo)) and on 5 glioblastoma cell lines (LN018, LN215, LN229, LN319 and BS149) was performed. Normal brain tissue (NB) and normal human astrocytes (NHA) were used as a control. Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control. Keywords: Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control.
2011-03-18 | GSE15824 | GEO
Project description:This study (McConnell, et al. Science 2012) used both SNP array and sequencing data to examine copy number variation in neuronal genomes. Encolsed here are the SNP Array data from the 42 fibroblasts, 19 human induced pluripotent stem cell (hiPSC)-derived neural progenitor cells (NPCs), and 40 hiPSC-derived neurons that were reported in the manuscript. Copy number analysis was performed on .CEL files using Partek Genomics Suite with a custom single cell reference file.
2013-12-04 | E-GEOD-51538 | biostudies-arrayexpress
Project description:Single nucleotide polymorphism (SNP) microarrays are commonly applied to tumors to identify genomic regions with copy number alterations (CNA) or loss of heterozygosity (LOH). However, in typical tumor specimens collected in clinical studies, up to 60% of the DNA derives from stromal cells with a normal genome, resulting in attenuated sensitivity to true somatic aberrations in the tumor. Here we describe SNPfilter, a model-based method to decompose SNP array data from heterogeneous tumor specimens into their corresponding normal and tumor profiles. Unlike existing methods, SNPfilter does not require paired normal control data. We assessed the performance of this method using SNP array data representing cancer cell lines with aberrant genomes, B-cell lymphoblastoid cell lines with normal genomes, and defined mixtures of the two. In the pure tumor samples, SNPfilter identified CNA and LOH regions with accuracy similar to existing methods. In the mixture samples containing 40–80% tumor genomic DNA, SNPfilter yielded prediction sensitivity superior to existing methods. Thus, SNPfilter provides a powerful tool for discovery of clinically relevant somatic aberrations in tumor genomes.
2011-12-30 | GSE34754 | GEO
Project description:To identify signaling pathways that are differentially regulated in human gliomas, a microarray analysis on 30 brain tumor samples (12 primary glioblastomas (GBM), 3 secondary glioblastomas (GBM-2), 8 astrocytomas (Astro) and 7 oligodendrogliomas (Oligo)) and on 5 glioblastoma cell lines (LN018, LN215, LN229, LN319 and BS149) was performed. Normal brain tissue (NB) and normal human astrocytes (NHA) were used as a control. Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control. Keywords: Kinase expression in each tumor was compared to expression in normal brain and expression values from normal human astrocytes were used as an additional control. Frozen tissue samples of human gliomas and normal brain obtained from the operating room were processed according to the guidelines of the Ethical Committee of the University Hospitals of Basel. Human brain tumor cell lines were derived from human patients. The BS149 cell line was generated at the University of Basel, Switzerland while the “LN” series were a kind gift of Erwin van Meir in Lausanne, Switzerland. Normal human astrocytes (NHAs) were purchased by Cambrex (Walkersville, MD) and cultured according to manufacturer’s recommendations.
2011-03-18 | E-GEOD-15824 | biostudies-arrayexpress
Project description:With the whole genome SNP array information obtained from tumor and matched normal control, we could evaluate the acquired copy number variations (CNVs) and uniparental disomies (UPDs) . Seven MDS patients in a whole genome sequencing project were included in this experiment.
2014-05-22 | GSE57229 | GEO