DIA analysis of Glioblastoma stem cells from different subtypes
Ontology highlight
ABSTRACT: Proteomic analysis of MAM-protein profiles in several GBM stem cell models with different subtypes, namely classical, proneural and mesenchymal.
Project description:Proteomic analysis of MAM-protein profiles in several GBM patient-derived cell subtypes, namely classical, proneural and mesenchymal.
Project description:The mitochondria-associated endoplasmic reticulum (ER) membrane (MAM) is the physical contact site between the ER and the mitochondria and plays a vital role in the regulation of calcium trafficking and bioenergetics. Previous studies suggest that disturbances in calcium trafficking and dysregulation of reactive oxygen species in the ER and mitochondria may contribute to the pathogenesis of diabetic retinopathy (DR). However, few studies have examined the impact of diabetes on the retinal MAM proteome profile. In the present study, we used Long Evans rats with streptozotocin-induced long-term Type 1 diabetes to identify key pathways and proteins in the retinal MAM that are potentially implicated in the pathogenesis of DR.
Project description:We investigated the gene expression profiles of primary Human GBM cell lines. To represent the complexity of the GBM tissues, we uesd cell lines belonging to two different subtypes (HuTu10, proneural; HuTu13, Mesenchymal).
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 multiforme (GBM) is one of the most aggressive and therapy-resistant brain tumors prevalent in both adults and children. Despite extensive research to understand GBM pathology, it remains unclear how neural cells in the human brain interact with GBM cells to support their brain propagation and therapy resistance and whether GBM cells exert any influence on the properties of human neural cells. In this study, we co-culture human stem cell-derived subpallial telencephalic organoids with patient-derived proneural or mesenchymal GBM spheroids to investigate their reciprocal interactions. We show that both proneural and mesenchymal GBM spheroids readily fuse and propagate with human organoids, forming organoid-GBM chimeras, without the need for exogenous growth factors. GBM cells within the chimeras adapt by modulating gene expression profiles consistent with diminished proliferation, heightened hypoxia, increased angiogenesis, and proneural-to-mesenchymal transition in proneural GBM. Both proneural or mesenchymal GBMs also exert an impact on the properties of neural cells in the chimeras, leading to the suppression of neuronal genes and an upregulation expression of genes associated with hypoxia and angiogenesis. Collectively, this study identifies specific genes and molecular pathways that can be altered in GBM and neural cells by reciprocal interactions in a human developing brain-like environment for an increased understanding of GBM pathology and future therapy development.
Project description:Glioblastoma (GBM) is a deadly and the most common primary brain tumor in adults. Due to their regulation of a high number ofmRNA transcripts, microRNAs (miRNAs) are key molecules in the control of biological processes and are thereby promisingtherapeutic targets for GBM patients. In this regard, we recently reported miRNAs as strong modulators of GBM aggressiveness.Here, using an integrative and comprehensive analysis of the TCGA database and the transcriptome of GBM biopsies, we identifiedthree critical and clinically relevant miRNAs for GBM, miR-17-3p, miR-222, and miR-340. In addition, we showed that thecombinatorial modulation of three of these miRNAs efficiently inhibited several biological processes in patient-derived GBM cells ofall these three GBM subtypes (Mesenchymal, Proneural, Classical), induced cell death, and delayed tumor growth in a mouse tumormodel. Finally, in a doxycycline-inducible model, we observed a significant inhibition of GBM stem cell viability and a significantdelay of orthotopic tumor growth. Collectively, our results reveal, for the first time, the potential of miR-17-3p, miR-222 and miR-340multi-targeting as a promising therapeutic strategy for GBM patients.Cell Death and Disease (2023) 14:630 ; https://doi.org/10.1038/s41419-023-06117-z
Project description:Glioblastoma (GBM) is a highly aggressive type of glioma with poor prognosis. However, a small number of patients live much longer than the median survival. A better understanding of these long-term survivors (LTS) may provide important insight into the biology of GBM. We identified 7 patients with GBM treated at Memorial Sloan-Kettering Cancer Center (MSKCC) with survival greater than 48 months. We characterized the transcriptome of each patient and determined rates of MGMT promoter methylation and IDH1 and IDH2 mutational status. We identified LTS in two independent cohorts (TCGA and REMBRANDT) and analyzed the transcriptomal characteristics of these LTS. The median overall survival of our cohort was 62.5 months. LTS were distributed between the proneural (n=2), neural (n=2), classical (n=2) and mesenchymal (n=1) subtypes. Similarly, LTS in the TCGA and REMBRANDT cohorts demonstrated diverse transcriptomal subclassification identity. The majority of the MSKCC LTS (71%) were found to have methylation of the MGMT promoter. None of the patients had an IDH1 or IDH2 mutations, and IDH mutation occurred in a minority of the TCGA LTS as well. A set of 42 genes was found to be differentially expressed in the MSKCC and TCGA LTS. While IDH mutant proneural tumors impart a better prognosis in the short-term, survival beyond 4 years does not require IDH mutation and is not dictated by a single transcriptional subclass. In contrast, MGMT methylation continues to have strong prognostic value for survival beyond 4 years. These findings have substantial impact for understanding GBM biology and progression. All tumors (n = 7) were obtained following surgical resection at the MSKCC as part of routine clinical care, and snap frozen. Tumors were obtained in accordance with Institutional Review Board policies at the MSKCC. Each sample was examined histologically by 3 independent neuropathologists and confirmed to be World Health Organization (WHO) grade IV glioma (GBM). Before analysis, tumors were sectioned and microdissected. Genomic DNA or RNA was extracted using the DNeasy kit (Qiagen) or RNeasy Lipid Tissue Mini Kit (Qiagen) as per the manufacturer’s instructions. Expression analysis of tumors was performed using the Affymetrics U133 2.0 microarray (Affymetrix). Affymetrix CEL files were imported into the Partek Genomics Suite (Partek). The TCGA gene expression data (HT-HG-U133A) was accessed from the TCGA data repositories (http://cancergenome.nih.gov, date of download 12/2013).
Project description:Glioblastoma (GBM) is a highly aggressive type of glioma with poor prognosis. However, a small number of patients live much longer than the median survival. A better understanding of these long-term survivors (LTS) may provide important insight into the biology of GBM. We identified 7 patients with GBM treated at Memorial Sloan-Kettering Cancer Center (MSKCC) with survival greater than 48 months. We characterized the transcriptome of each patient and determined rates of MGMT promoter methylation and IDH1 and IDH2 mutational status. We identified LTS in two independent cohorts (TCGA and REMBRANDT) and analyzed the transcriptomal characteristics of these LTS. The median overall survival of our cohort was 62.5 months. LTS were distributed between the proneural (n=2), neural (n=2), classical (n=2) and mesenchymal (n=1) subtypes. Similarly, LTS in the TCGA and REMBRANDT cohorts demonstrated diverse transcriptomal subclassification identity. The majority of the MSKCC LTS (71%) were found to have methylation of the MGMT promoter. None of the patients had an IDH1 or IDH2 mutations, and IDH mutation occurred in a minority of the TCGA LTS as well. A set of 42 genes was found to be differentially expressed in the MSKCC and TCGA LTS. While IDH mutant proneural tumors impart a better prognosis in the short-term, survival beyond 4 years does not require IDH mutation and is not dictated by a single transcriptional subclass. In contrast, MGMT methylation continues to have strong prognostic value for survival beyond 4 years. These findings have substantial impact for understanding GBM biology and progression.
Project description:We created a computational framework with which to predict BUB1B-GLEBS sensitivity based on gene expression data from BUB1B-inhibition sensitive (BUB1BS) or resistant (BUB1BR) GBM stem cells (GSCs), astrocytes, and neural progenitors. Our classifier examines the expression of 838 genes comprising the BUB1BS signature. Applying this scheme to GBM patient tumor data stratified tumors into BUB1BS and BUB1BR subtypes, revealing that BUB1BS patients have a significantly worse prognosis regardless of their tumor's development subtype (i.e., classical, mesenchymal, neural, proneural). Applying the same scheme to drug sensitivity profiles predicts that BUB1BS cells to be more sensitive to Raf inhibitors as well as other drugs such as type I and II topoisomerase inhibitors among other drugs. Functional genomic profiling of BUB1BR versus BUB1BS GBM isolates revealed differentially reliance of genes enriched in the BUB1BS classifier, including those involved in mitotic cell cycle, microtubule organization, and chromosome segregation. Taken together, our results show that BUB1BR/S classification of GBM tumors, in addition to predicting BUB1B-inhibition sensitivity, may help predict cancer aggressiveness and sensitivity to multiple anti-cancer drugs.
Project description:MAM (Microbial-Anti-Inflammatory Molecule) is a 14,5 kDa protein that is one of the best-known effector molecules with anti-inflammatory properties in Faecalibacterium duncaniae, a critical species in the human gut microbiota. Despite its importance, MAM function and molecular features remain poorly understood. Therefore, in this study, we sought to elucidate MAM's physiological importance. We investigated MAM localization using mass-spectrometry, immunogold labeling, and peptide secretion dynamics during bacterial growth. Bioinformatic analysis and microscopy further supported our understanding of MAM protein domain organization, interactions, and putative macromolecular assembly. Our results identified MAM as the most abundant protein in the cell envelope, and the second most abundant one in the overall proteome of F. duncaniae, with confirmed localization at the bacterial surface through immunogold labeling. Bioinformatics analysis highlights that MAM could comprise an N-terminal 21 residue leader peptide whose sequence contains all the motifs to be recognized and cleaved by a peptidase, followed by a 114 residue cargo peptide. Appropriately, in silico modeling suggests that the MAM leader peptide nicely accommodates the peptidase-domain-containing ABC transporter (PCAT) that is adjacent to MAM in the genome of F. duncaniae. After N-terminal excision, the cargo protein could be transported to the cell envelope via this PCAT, where it could assemble into a hexameric, pore-like structure, as revealed by AlphaFold3 modeling. Electron microscopy images of In situ F.duncaniae cells revealed a highly ordered lattice with repetitive units of hexamers. Moreover, an enriched fraction of MAM protein was obtained with in vitro LiCl extraction, exhibiting the same organizational pattern as the predicted hexameric organization. These findings provide the first comprehensive characterization and molecular export mechanisms of MAM as a key protein component of the F. duncaniae cell envelope, suggesting roles in cell structure, permeability, and communication with the host environment. It reveals a novel, lattice-like organization on the F. duncaniae cell envelope that may play a critical role in maintaining bacteria structure. This work introduces a novel discussion about the unique organization of the F.duncaniae cell envelope, having MAM as a key component for the bacteria, supporting the understanding of the unique biology of F. duncaniae and its potential as a next-generation probiotic or Live Biotherapeutics