Activating NOTCH1 mutations increase T-ALL cells’ chemosensitivity by altering PREX2-AKT pathway
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PROVIDER: PRJNA743671 | ENA |
REPOSITORIES: ENA
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Project description:Mutations on NOTCH1 gene are the most commonly found mutations in T-cell acute lymphoblastic leukemia (T-ALL) and they are reported to be favorable indicators for T-ALL patients' prognosis. However, the effects of activating NOTCH1 mutations on T-ALL's chemosensitivity have not been studied. We reported that NOTCH1 inhibition by gamma-secretase inhibitors or shRNA knockdown in MOLT-3 cells could reduce the T-ALL cells' sensitivity to chemotherapeutic drugs. However, this effect was absent in Jurkat and CUTLL1 cells. We further demonstrated that NOTCH1 inhibition could activate the PI3K-AKT pathway in a cell specific pattern similar as their effects on chemosensitivity. RNA-seq revealed that Phosphatidylinositol-3,4,5-Trisphosphate Dependent Rac Exchange Factor 2 (PREX2) is a target gene of NOTCH1 and may mediate the effects of activating NOTCH1 mutations on chemosensitivity. Consistently, we proved that overexpression of PREX2 could mimic the effects of NOTCH1 inhibition on chemosensitivity. Our study has highlighted the effects of activating NOTCH1 mutations on T-ALL's chemosensitivity by altering PREX2-AKT pathway, which may explain the favorable effects of NOTCH1 mutations on T-ALL patients' prognosis, as well as provided potential targets to sensitize T-ALL cells to chemotherapy.
2021-07-07 | GSE179425 | GEO
Project description:ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs. Experiment Overall Design: T-ALL cell lines harboring activating mutations in NOTCH1 were treated with vehicle only (DMSO) or a highly active gamma-secretase inhibitor (COMPE, 100nM) for 72 hs and processed for gene expression profiling analysis. Gene expression signatures associated with inhibition of NOTCH1 signaling with CompE were correlated with findings on NOTCH1 direct target genes identified by ChIP-on-chip analysis.
2008-12-12 | E-GEOD-12868 | biostudies-arrayexpress
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible. golub-00299 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Tissue Sites: Kidney, Brain, Blood, Lung, Skin, Colon, Breast, Prostate, Ovary Material Types: cell, synthetic_RNA, whole_organism, total_RNA Disease States: Carcinoma, Glioblastoma, Lymphoma, Adenocarcinoma, Melanoma, Amelanotic Melanoma, Large Cell Carcinoma, Precursor Lymphoblastic Leukemia, Carcinosarcoma, Myeloid Leukemia, Plasma Cell Myeloma, Bronchogenic Carcinoma, Chronic Myelogenous Leukemia, Squamous Cell Carcinoma
2015-05-16 | E-GEOD-68936 | biostudies-arrayexpress
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible.
2015-05-16 | GSE68936 | GEO
Project description:Claudin-low tumors are a highly aggressive breast cancer subtype with no targeted treatments and a clinically documented resistance to chemotherapy. They are significantly enriched in cancer stem cells (CSCs), which makes claudin-low tumor models particularly attractive for studying CSC behavior and developing novel approaches to minimize CSC therapy resistance. One proposed mechanism by which CSCs arise is via an epithelial-mesenchymal transition (EMT), and reversal of this process may provide a potential therapeutic approach for increasing tumor chemosensitivity. Therefore, we investigated the role of the miR-200 family of microRNAs in regulating the epithelial state, stem-like properties, and therapeutic response in an in vivo primary, syngeneic p53null claudin-low tumor model that is normally deficient in miR-200 expression. Using an inducible lentiviral approach, we expressed the miR-200c cluster in this claudin-low model and found that it changed the epithelial state, and consequently, impeded CSC behavior in these mesenchymal tumors. Moreover, these state changes were accompanied by a decrease in proliferation and an increase in the differentiation status. MiR-200c expression also forced a significant reorganization of tumor architecture, affecting important cellular processes involved in cell-cell contact, cell adhesion, and motility. Accordingly, induced miR200c expression also significantly enhanced the chemosensitivity and decreased the metastatic potential of this p53null claudin-low tumor model. Collectively, our data suggest that miR-200c expression in claudin-low tumors offers a potential therapeutic application to disrupt the EMT program on multiple fronts in this mesenchymal tumor subtype, by altering tumor growth, chemosensitivity, and metastatic potential in vivo. reference x sample
2015-06-22 | E-GEOD-62230 | biostudies-arrayexpress
Project description:Senescence, a persistent form of cell cycle arrest, is often associated with a diverse secretome, which provides complex downstream functionality for senescent cells within the tissue microenvironment. We show that oncogene-induced senescence (OIS) is accompanied by a dynamic fluctuation of NOTCH1 activity, which drives a TGF-β-rich secretome, whilst suppressing the senescence-associated pro-inflammatory secretome through inhibition of C/EBPβ. NOTCH1 and NOTCH1-driven TGF-β contribute to ‘lateral induction of senescence’ through a juxtacrine NOTCH-JAG1 pathway. In addition, NOTCH1 inhibition during senescence facilitates upregulation of pro-inflammatory cytokines, promoting lymphocyte recruitment and senescence surveillance in vivo. Because enforced activation of NOTCH1 signalling confers a near mutually exclusive secretory profile compared to typical senescence, our data collectively indicate that the dynamic alteration of NOTCH1 activity during senescence dictates a functional balance between these two distinct secretomes: one representing TGF-β and the other pro-inflammatory cytokines, highlighting that NOTCH1 is a temporospatial controller of secretome composition.
2016-08-03 | PXD004168 | Pride
Project description:Breast cancer is genetically heterogeneous, and recent studies have underlined a prominent contribution of epigenetics to the development of this disease. To uncover new synthetic lethalities with known breast cancer oncogenes, we screened an epigenome-focused short hairpin RNA library on a panel of engineered breast epithelial cell lines. Here we report a selective interaction between the NOTCH1 signaling pathway and the SUMOylation cascade. Knockdown of the E2-conjugating enzyme UBC9 (UBE2I) as well as inhibition of the E1-activating complex SAE1/UBA2 using ginkgolic acid impairs the growth of NOTCH1-activated breast epithelial cells. We show that upon inhibition of SUMOylation NOTCH1-activated cells proceed slower through the cell cycle and ultimately enter apoptosis. Mechanistically, activation of NOTCH1 signaling depletes the pool of unconjugated small ubiquitin-like modifier 1 (SUMO1) and SUMO2/3 leading to increased sensitivity to perturbation of the SUMOylation cascade. Depletion of unconjugated SUMO correlates with sensitivity to inhibition of SUMOylation also in patient-derived breast cancer cell lines with constitutive NOTCH pathway activation. Our investigation suggests that SUMOylation cascade inhibitors should be further explored as targeted treatment for NOTCH-driven breast cancer. We treated MCF10A and NOTCH1 cells with either DMSO or ginkgolic acid 30 uM for 3 days. Two replicates have been analysed for each condition.
2014-11-21 | E-GEOD-61727 | biostudies-arrayexpress
Project description: Not available
| S-EPMC2671598 | biostudies-literature
Project description:Richter's syndrome (RS) is an aggressive transformation of Chronic Lymphocytic Leukaemia (CLL) frequently due to TP53, CDKN2, MYC or NOTCH1 mutations. whereas a significant proportion displays no specifically acquired driver mutation. We observe constitutive AKT phosphorylation not only in high-risk CLL patients harbouring p53 and NOTCH mutations but also in numerous RS patients. Consistently, genetic over-activation of AKT within the Eµ-TCL1 CLL mouse model results in a high-grade lymphoma phenotype of Richters syndrome. Multiomics assessment of our novel mouse model revealed a S100 defined subcluster of highly proliferative lymphoma cells developing from indolent CLL-like B-cells as a consequence of sudden NOTCH activation being fueled by enhanced NOTCH ligand exposure from T-cells in the microenvironment. Our data link AKT and NOTCH signaling in patient samples, genomic alterations, phosphoproteome and single-cell transcriptome profiles. Collectively, we have identified active AKT as a causative transforming pathway of indolent CLL towards aggressive RS thus providing novel mechanistic insights into the molecular understanding of RS.
2021-02-25 | PXD017457 | Pride
Project description:T cell acute lymphoblastic leukemia (T-ALL), unlike other ALL types, is only infrequently associated with chromosomal aberrations, but it was recently shown that the majority of TALL patients carry activating mutations in the NOTCH1 gene. However, the signaling pathways and target genes responsible for Notch1-induced neoplastic transformation remain undefined. We report here that constitutively-active Notch1 activates the NF-κB pathway transcriptionally and via the IκB kinase (IKK) complex, thereby causing increased expression of multiple well-characterized NF-κB target genes in bone marrow hematopoietic stem cells and progenitors. Our observations demonstrate that the NF-κB pathway is highly active in established human T-ALL and that inhibition of the pathway can efficiently restrict tumor growth both in vitro and in vivo. These studies identify NF-κB as one of the major mediators of NOTCH1-induced transformation and suggest that the NF-κB pathway is a potential target of future targeted therapies of T-ALL. Keywords: gene expression analysis, signaling pathway alteration
2006-12-02 | GSE6396 | GEO