F246c7a7-3ceb-4540-9088-50c42b7e7d37 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001006098 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We profiled 9 high-grade gliomas patient tumor samples by bulk RNA-seq. The raw fastqs are provided.
| EGAD00001008348 | EGA
Project description:We profiled 186 patient tumor samples by bulk RNA-seq. These includes 38 embryonal brain tumors, 101 high-grade gliomas, 24 low-grade gliomas, 10 medulloblastoma and 13 matched normals. The raw fastqs are provided.
| EGAD00001005131 | EGA
Project description:We profiled 7 high-grade gliomas patient brain tumor samples by single-cell RNA-seq and 18 single-nuclei RNA-seq using 10X Chromium 3' techonology. The raw fastq files are provided.
| EGAD00001008351 | EGA
Project description:We profiled 16 patient tumor samples by single-cell or single-nuclei RNA-seq using 10X Chromium 3'. It includes 4 low-grade gliomas and 12 ependymomas. The raw fastqs are provided.
| EGAD00001011315 | EGA
Project description:We profiled 7 patient neuroblastoma-FOXR2 tumor samples by bulk RNA-seq. The raw fastqs are provided.
| EGAD00001010901 | EGA
Project description:We profiled 23 high-grade gliomas patient tumor samples and 4 normal-matched patient samples by whole exome sequencing. The raw fastq files are provided.
| EGAD00001006099 | EGA
Project description:Gliomas are the most common primary brain tumor in humans. Low-grade gliomas (WHO grade II) invariably progress to high-grade gliomas (WHO grade III or IV). Although malignant progression may take many years, the survival rate after transformation to a high-grade glioma is poor, often only 12-15 months. In this data set, we have identified low-grade gliomas that have progressed to high-grade gliomas or high-grade gliomas that have progressed from low-grade gliomas. Some cases are matched pairs (meaning we have both the original low-grade tumor and the subsequent high-grade tumor). The samples deposited have been analyzed with bulk-RNA sequencing. They are also de-identified but are clinically annotated. When available, genetic information including IDH mutation status, 1p/19q deletion and histological subtype are also included.
2021-09-30 | GSE184941 | GEO
Project description:We profiled 4 high-grade gliomas patient brain tumor samples by single-cell ATAC-seq using the 10X Chromium 3' technology. The raw fastq and index files are provided.
| EGAD00001008347 | EGA
Project description:We profiled 43 normal human adult brain and 11 normal human fetal brain specimens by bulk RNA-seq. The raw fastqs are provided.
| EGAD00001005130 | EGA
Project description:Background: Molecular profiling of diffuse gliomas has provided significant insights into the pathogenesis, classification and prognostication of these malignancies. However, previous molecular studies of glioma have largely focused on genomic readouts and targeted proteomic profiling technologies. Consequently, proteomic and downstream functional landscape of gliomas in general, and molecular subgroups in particular, remains largely unexplored. Here, we utilize liquid chromatography tandem mass spectrometry to profile genomically-defined cohorts of gliomas spanning the full range of World Health Organization (WHO) grades. Methods: Bulk frozen tissue and purified micro-dissected regions from formalin-fixed paraffin-embedded (FFPE) tissues were assembled and utilized to define robust proteomic signatures of both low grade, infiltrative and high-grade tumors. As a final analysis, primary tumor tissue was compared with both IDH-mutated and IDH-wildtype glioblastoma stem cell (GSC) lines to further overcome tissue heterogeneity and pinpoint proteins differences likely arising in the relevant glial cellular drivers of tumor development. Results: In aggregate, 5,496 unique proteins over 3 glioma cohorts were identified, and span common molecular subclasses based on IDH and 1p19q co-deletion status and all four WHO grades. Supervised clustering highlights substantial proteome and systems-level pathway differences between different genetically defined glioma subtypes and WHO grades. By using bulk tumor statistical analysis, 833 proteins distinguish different WHO grade tumors, while FFPE tumor dissection reveals 287 proteins in GBMs with abundance changes according to IDH mutation status. Using our integrative approach, calcium signaling, proteins of the endoplasmic reticulum and extracellular integrin proteins are most conserved proteomic markers that distinguish aggressive, IDH-wt, from IDH-mut GBM tumors in primary and tissue culture models gliomagenesis. Conclusions: This proteomic survey provides the largest and most diverse unbiased protein-based brain tumor resource to date. Current treatments for glial tumors are largely non-specific and overlap between genomic subtypes and WHO grades. Our analysis provides early insight into the vast downstream and epigenetic protein-level differences within this molecular framework. Given the central position proteins occupy in driving biology and phenotype, further characterization of the substantial proteomic diversity that exist between the molecular subtypes and grades of gliomas, proteomics may help define more personalized prognostic and predictive biomarkers for precision care.
2019-07-30 | PXD010133 | Pride