Project description:<p>Alterations in cell metabolism, including changes in lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cell cultures and animal models. Here, we present a dataset of 124 high-resolution negative ionization mode lipid profiles of human brain tumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathological brain tissue samples resected during elective surgery. The change in lipid composition alterations of brain tumors enables the possibility of discriminating between malignant and healthy tissues with the implementation of ambient mass spectrometry. On the other hand, the collection of clinical samples allows the comparison of the metabolism alteration patterns in animal models or in vitro models with natural tumor samples ex vivo. The presented dataset is intended to be a data sample for bioinformaticians to test various data analysis techniques with ambient mass spectrometry profiles, or to be a source of clinically relevant data for lipidomic research in oncology.</p>
Project description:We have compared the microsomal protein fractions from benign and malignant adrenocortical tumors. Protein extracts were trypsinized, peptides separated by HiRIEF (high resolution isoelectric focusing) and analysed by LC-MS.
Project description:This SuperSeries is composed of the following subset Series: GSE24446: Genetic abnormalities in GBM brain tumors GSE24452: Genetic abnormalities in various cell subpopulations of GBM brain tumors GSE24557: Exon-level expression profiles of GBM brain tumors Refer to individual Series
Project description:The characteristics of immune cells infiltrating pediatric brain tumors is largely unexplored. A better understanding of these characteristics will provide a foundation for development of immunotherapy for pediatric brain tumors. Gene expression profiles were used to identify immune marker gene that are differentially expressed between various brain tumor types. Gene expression profiles were generated from surgical tumor and normal brain samples (n=130) using Affymetrix HG-U133plus2 chips (Platform GPL570). Gene expression profiles of different types of brain tumors and normal brain were filtered to obtain gene expression of key immune cell markers. Comparative analyses between different brain tumors and normal brain was used to identifiy differential immune characteristics of these tumors.