Project description:This microarray contains expression data for two GBM tissue samples, four GSC cultures grown as spheres and one NFC culture grown as spheres Total RNA was isolated from GSC cultures and GBM tissues
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.
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.
Project description:This microarray contains expression data for two GBM tissue samples, four GSC cultures grown as spheres and one NFC culture grown as spheres
Project description:Primary glioblastoma (GBM) cultures vary with respect to differentiation competency. We sought to identify putative transcription factors necessary for the differentiation of GBM cultures. In this dataset, we include expression data obtained from 2 human-fetal neural stem cell (HF-NS) cultures and 2 GBM stem cell (GSC) cultures. We assessed changes in gene expression from 3 timepoints during an in vitro differentiation protocol.
Project description:Malignant glioblastoma (GBM) is a highly aggressive brain tumor with a dismal prognosis and limited therapeutic options. Genomic profiling of GBM samples in the TCGA database has identified four molecular subtypes (Proneural, Neural, Classical and Mesenchymal), which may arise from different glioblastoma stem-like cell (GSC) populations. In the present study, we identify two GSC populations that produce GBM tumors by subcutaneous and intracranial injection with identical histological features. Gene expression analysis revealed that xenografts of GSCs grown as spheroid cultures had a Classical molecular subtype similar to that of bulk tumor cells. In contrast xenografts of GSCs grown as adherent cultures on laminin-coated plates expressed a Mesenchymal gene signature. Adherent GSC-derived xenografts had high STAT3 and ANGPTL4 expression as well as enrichment for stem cell markers, transcriptional networks and pro-angiogenic markers characteristic of the Mesenchymal subtype. Examination of clinical samples from GBM patients showed that STAT3 expression was directly correlated with ANGPTL4 expression, and that increased expression of these genes correlated with poor patient survival and performance. A pharmacological STAT3 inhibitor abrogated STAT3 binding to the ANGPTL4 promoter and exhibited anticancer activity in vivo. Taken together, we identified two distinct GSC populations that produce histologically identical tumors but with very different gene expression patterns, and a STAT3/ ANGPTL4 pathway in glioblastoma that may serve as a target for therapeutic intervention. 2 samples of each variable were analyzed. Cells were cultured under normal adherent conditon (Bulk tumor cells), non-adherent plates with stem cell medium (Sp-GSC) or laminin-coated plates with stem cell medium (Ad-GSC). Xenografts were generated in NSG mice by subcutaneous inoculation.
Project description:Glioblastoma stem cell (GSC) cultures are initiated from glioblastoma (GBM) surgical resection tissue. They can capture and propagate key GBM primary tumor molecular and cellular features. We have deeply characterized four IDH-expressing (IDH+ or ‘wildtype’) GSC cultures from unrelated adults to serve as cellular models for the majority of adult primary GBM. We demonstrate that GSC cultures can be continuously propagated in defined, serum-free media and 5% oxygen without requiring specialized growth substrates; have well-defined genomic and mtDNA variants and gene/protein expression profiles; and highly reproducible dose-survival curves when treated with the GBM standard-of-care therapies of ionizing radiation (IR) and temozolomide (TMZ). We also illustrate how expressed lentiviral barcodes, mtDNA variants and single cell gene expression profiling can be used to define and track cellular heterogeneity over 40 days after IR treatment. These well-characterized IDH+ GSC cultures can support many high throughput in vitro assay formats, including xenograft, organoid and other GBM disease modeling protocols. They should prove a useful resource to better understand GBM biology, and to identify new and more effective GBM therapies and treatment regimens.
Project description:Malignant glioblastoma (GBM) is a highly aggressive brain tumor with a dismal prognosis and limited therapeutic options. Genomic profiling of GBM samples in the TCGA database has identified four molecular subtypes (Proneural, Neural, Classical and Mesenchymal), which may arise from different glioblastoma stem-like cell (GSC) populations. In the present study, we identify two GSC populations that produce GBM tumors by subcutaneous and intracranial injection with identical histological features. Gene expression analysis revealed that xenografts of GSCs grown as spheroid cultures had a Classical molecular subtype similar to that of bulk tumor cells. In contrast xenografts of GSCs grown as adherent cultures on laminin-coated plates expressed a Mesenchymal gene signature. Adherent GSC-derived xenografts had high STAT3 and ANGPTL4 expression as well as enrichment for stem cell markers, transcriptional networks and pro-angiogenic markers characteristic of the Mesenchymal subtype. Examination of clinical samples from GBM patients showed that STAT3 expression was directly correlated with ANGPTL4 expression, and that increased expression of these genes correlated with poor patient survival and performance. A pharmacological STAT3 inhibitor abrogated STAT3 binding to the ANGPTL4 promoter and exhibited anticancer activity in vivo. Taken together, we identified two distinct GSC populations that produce histologically identical tumors but with very different gene expression patterns, and a STAT3/ ANGPTL4 pathway in glioblastoma that may serve as a target for therapeutic intervention.
Project description:Gliomas are the most common type of primary malignant adult brain tumor. They appear to originate from neuroglial stem or progenitor cells, and are therapeutically challenging due to an invasive growth pattern and the absence of effective therapies. We have analyzed cellular, molecular and proteomic features and defined the therapeutic response profiles of four IDH1-wildtype glioma stem cell (GSC) cultures. All four GSC cultures were established from Grade IV glioblastoma (GBM) surgical resection tissue, can be continuously propagated and are highly enriched for stem/tumor repopulating cells. Integrated genomic and proteomic analysis of all four cultures was performed, together with use of a dual molecular bar-coding strategy to assess GSC population heterogeneity and the response to ionizing radiation. These well-characterized, bar-coded GSC cultures provide an experimentally tractable resource for investigating glioma biology, and to use to identify new and potentially more effective GBM therapies and treatment regimens.
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.