Dd5e6523-10f9-4938-8b38-2aeff1831aef - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001006195 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:RNA-seq data for three Glioblastoma stem cell (GSC) lines exposed to PRMT5 inhibitor and control samples.
| EGAD00001006095 | EGA
Project description:WGS data for 20 Glioblastoma stem cell (GSC) lines and matched blood samples. Fastq files are available.
For 10 GSC samples and the 10 matched blood samples the reads are on 3 fastq files per sample
| EGAD00001006488 | EGA
Project description:Single cell RNA-sequencing of glioblastoma stem cell (GSC) lines with 10x Genomics 3' expression (v2 chemistry). Aligned to GRCh38 reference genome using CellRanger.
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Project description:The DNA methylation profiles of Glioma Stem Cell (GSC) lines were investigated in order to find the stem cell signature associated to glioblastoma (GBM). This goal was achieved through the comparison of GSC methylation data with FFPE-GBM biopsies and human foetal Neural Stem Cell (NSC) lines profiles.
2013-03-08 | GSE41824 | GEO
Project description:The DNA methylation profiles of Glioma Stem Cell (GSC) lines were investigated in order to find the stem cell signature associated to glioblastoma (GBM). This goal was achieved through the comparison of GSC methylation data with FFPE-GBM biopsies and human foetal Neural Stem Cell (NSC) lines profiles. GSC lines: 3 (GBM2, G144, G166). FFPE-GBM biopsy pool: FFPE-GBM pool: 1 pool from 5 GBM biopsies. Human foetal NSC lines: 2 (CB660 from forebrain; CB660SP form spinal cord). Methylated DNA from each sample was enriched with the immunoprecipitation method using 5-methylcytosine antibody (Eurogentec). Immunoprecipitated DNA (IP-DNA) and total DNA were labeled and hybridized on Agilent Human CpG Island ChIP-on-Chip Microarray 244K. IP-DNA were labeled with Cy5 while the matching total DNA were labeled with Cy3.
2013-03-08 | E-GEOD-41824 | biostudies-arrayexpress
Project description:<p>Variability in induced pluripotent stem cell (iPSC) lines remains a roadblock for disease modeling and regenerative medicine. Through linear mixed models we have described different sources of gene expression variability from RNA sequencing data in 317 human iPSC lines from 101 individuals. We found that ~50% of genome-wide expression variability is explained by variation across individuals and identified a set of expression quantitative trait loci that contribute to this variation. These analyses coupled with allele specific expression show that iPSCs retain a subject-specific gene expression pattern. Pathway enrichment and key driver analyses, based on predictive causal gene networks, found that Polycomb targets explain a significant part of the non-genetic variability present in iPSCs within and across individuals. These publically available iPSC lines and genetic datasets will be a resource to the scientific community and will open new avenues to reduce variability in iPSCs and improve their utility in disease modeling.</p> <p>SNP array data from individuals included in RNA-seq transcriptome profiling study of human induced pluripotent stem cells to characterize gene expression variation across individuals and within multiple iPSC lines from the same individual. Genotyping was performed on patient blood.</p> Data availability: <ul> <li>SNP-genotyping: dbGaP - current study</li> <li>RNA-seq counts: <a href="http://www.ncbi.nlm.nih.gov/geo/">GEO</a> - GSE79636</li> <li>FASTQ files: <a href="http://www.ncbi.nlm.nih.gov/sra">SRA</a> - SRP072417</li> </ul>
| phs001139 | dbGaP
Project description:Glioblastoma multiforme (GBM), the most common and malignant type of glioma, is characterized by a poor prognosis and the lack of an effective treatment, which are due to a small sub-population of cells with stem-like properties, termed glioma stem cells (GSCs). The term M-bM-^@M-^\multiformeM-bM-^@M-^] describes the histological feature of this tumor, i.e. the cellular and morphological heterogeneity. At the molecular level multiple layers of alterations may reflect this heterogeneity providing together the driving force of tumor initiation and development. In order to decipher the common M-bM-^@M-^\signatureM-bM-^@M-^] of the ancestral GSC population, we examined 5 already characterized GSC lines evaluating their copy number alterations using a genome-wide approach. Genomic DNA was isolated from 5 Glioma Stem Cell (GSC) lines. Each sample was labeled with Cy3 dye and then hybridized against the same commercial reference DNA labeled in Cy5.
2013-03-08 | E-GEOD-41875 | biostudies-arrayexpress
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
2024-09-02 | MODEL2408160001 | BioModels
Project description:Characterization of glioblastoma tumors and glioblastoma stem cells (GSCs) lines via RNA-seq and/or WGS profiling.
| EGAS00001004395 | EGA
Project description:We compared whole genome expression profiles of GSCs with normal human cortex, human neural stem cells (hNSC) from fetal cortex, glioblastoma (GBM) primary, and recurrent tumors to find GSC-specific plasma membrane transcripts. All of the expression profiles were batch normalized by a robust multichip average (RMA) algorithm using Geospiza GeneSifter (PerkinElmer) online microarray database and analysis software. The data was then exported into Microsoft Office Excel 2010 and organized for GSC transcripts with raw intensity values 10 fold or higher over normal brain, hNSCs, GBM primary and recurrent tumor samples. The reverse sorting algorithm was done to obtain downregulated GSC trascripts.
2013-11-14 | E-GEOD-51822 | biostudies-arrayexpress