DAZAP2 controls cancer cell chemosensitivity by orchestrating the p53 response upon DNA damage
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE154146 | GEO | 2021/02/10
REPOSITORIES: GEO
Similar Datasets
Project description:DAZAP2 controls cancer cell chemosensitivity by orchestrating the p53 response upon DNA damage
| PRJNA645200 | ENA
Project description:We used an integrated computational/experimental systems biology approach to identify upstream protein kinases that regulate gene expression changes in kidneys of HIV-1 transgenic mice (Tg26), which have significant tubulo-interstitial fibrosis (TIF) and glomerulosclerosis (GS). We identified the homeo-domain interacting protein kinase 2 (HIPK2) as a key regulator of TIF and GS. HIPK2 was upregulated in kidneys of Tg26 and patients with various kidney diseases. HIV infection increased the protein level of HIPK2 by promoting oxidative stress, which inhibited Siah1-mediated proteasomal degradation of HIPK2. The data contain two sets: kidney corticies from WT and Tg26 mice and HEK293 transfected with HIPK2, HIPK2-DN and wild type.
2012-02-01 | GSE35226 | GEO
Project description:Homeodomain-interacting protein kinase 2 (HIPK2), a well-known tumor suppressor, exhibits contradictory expression patterns in different cancers. This study was performed to reveal the potential mechanism of HIPK2 involvement in oral squamous cell carcinoma (OSCC) metastasis. High throughput RNA-sequencing was used to detect the dysregulated signaling pathways in HIPK2 deficiency OSCC cells. Transwell assay and lymphatic metastatic orthotopic mouse model assay were performed to identify the effect of HIPK2 on tumor invasion. Western blotting and luciferase reporter assay were performed to examine the HIPK2/P53/E-Cadherin axis in OSCC. We observed that depletion of HIPK2 promoted tumor cell invasion in vitro and facilitated cervical lymph node metastasis in vivo. According to mRNA-sequencing, pathways closely related to tumor invasion were notably activated. HIPK2 was found to trigger E-Cadherin expression by mediating P53, which directly targets the CDH1 (coding E-Cadherin) promoter. Restoring P53 expression rescued the E-Cadherin suppression induced by HIPK2 deficiency. Together, the depletion of HIPK2 expression promoted OSCC metastasis by suppressing the P53/E-Cadherin axis, which might be a promising target for anti-cancer therapies.
2021-01-11 | GSE158262 | GEO
Project description:We used an integrated computational/experimental systems biology approach to identify upstream protein kinases that regulate gene expression changes in kidneys of HIV-1 transgenic mice (Tg26), which have significant tubulo-interstitial fibrosis (TIF) and glomerulosclerosis (GS). We identified the homeo-domain interacting protein kinase 2 (HIPK2) as a key regulator of TIF and GS. HIPK2 was upregulated in kidneys of Tg26 and patients with various kidney diseases. HIV infection increased the protein level of HIPK2 by promoting oxidative stress, which inhibited Siah1-mediated proteasomal degradation of HIPK2. The data contain two sets: kidney corticies from WT and Tg26 mice and HEK293 transfected with HIPK2, HIPK2-DN and wild type. Gene expression comparison between kidney cortecies of Tg26 HIV mouse model and wild type. Gene expression comparison between 293 HEK cells with HIPK-DN, HIPK-KO and normal.
2012-02-01 | E-GEOD-35226 | biostudies-arrayexpress
Project description:After DNA damage, cells activate p53, a tumor suppressor gene, and select a cell fate (e.g., DNA repair, cell cycle arrest, or apoptosis). Recently, a p53 oscillatory behavior was observed following DNA damage. However, the relationship between this p53 oscillation and cell-fate selection is unclear. Here, we present a novel model of the DNA damage signaling pathway that includes p53 and whole cell cycle regulation and explore the relationship between p53 oscillation and cell fate selection. The simulation run without DNA damage qualitatively realized experimentally observed data from several cell cycle regulators, indicating that our model was biologically appropriate. Moreover, the comprehensive sensitivity analysis for the proposed model was implemented by changing the values of all kinetic parameters, which revealed that the cell cycle regulation system based on the proposed model has robustness on a fluctuation of reaction rate in each process. Simulations run with four different intensities of DNA damage, i.e. Low-damage, Medium-damage, High-damage, and Excess-damage, realized cell cycle arrest in all cases. Low-damage, Medium-damage, High-damage, and Excess-damage corresponded to the DNA damage caused by 100, 200, 400, and 800 J/m(2) doses of UV-irradiation, respectively, based on expression of p21, which plays a crucial role in cell cycle arrest. In simulations run with High-damage and Excess-damage, the length of the cell cycle arrest was shortened despite the severe DNA damage, and p53 began to oscillate. Cells initiated apoptosis and were killed at 400 and 800 J/m(2) doses of UV-irradiation, corresponding to High-damage and Excess-damage, respectively. Therefore, our model indicated that the oscillatory mode of p53 profoundly affects cell fate selection.
2020-04-27 | BIOMD0000000939 | BioModels
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: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:A central challenge in human cancer therapy is the identification of pathways that control tumor cell survival and chemosensitivity in the absence of functional p53. The p53-related transcription factors p63 and p73 exhibit distinct, p53-independent roles in development and cancer: p73 promotes genome stability and mediates chemosensitivity, while p63 largely lacks these p53-like functions and instead promotes proliferation and cell survival. Here, we identify a new and physiologically important mechanism of p63/p73 cross-talk which governs the balance between pro-survival and pro-apoptotic programs in both human and murine squamous cell carcinoma. Through comprehensive profiling of p63-regulated microRNAs (miRs), we identified a subset which target p73 for inhibition, including miR-193a-5p, a direct endogenous transcriptional target repressed by p63 and activated by pro-apoptotic p73 isoforms in both normal cells and tumor cells in vivo. Consequently, chemotherapy treatment causes p63/p73-dependent induction of this miR, thereby limiting chemosensitivity due to miR-mediated feedback control of p73. We demonstrate that interrupting this feedback by inhibiting miR-193a suppresses tumor cell viability and induces dramatic chemosensitivity both in vitro and in vivo. Thus, we have identified a direct, miR-dependent regulatory circuit mediating inducible chemoresistance, whose inhibition provides a new therapeutic opportunity in p53-deficient tumors. Knockdown of endogenous p63 by p63-directed or control lentiviral shRNA in JHU-029 human SCC cells at 48h, in duplicate experiments. Array analysis showing the fold-change and direction of change for all miRs regulated > 1.5-fold in p63-ablated versus control samples
2010-11-23 | E-GEOD-25524 | biostudies-arrayexpress
Project description:A central challenge in human cancer therapy is the identification of pathways that control tumor cell survival and chemosensitivity in the absence of functional p53. The p53-related transcription factors p63 and p73 exhibit distinct, p53-independent roles in development and cancer: p73 promotes genome stability and mediates chemosensitivity, while p63 largely lacks these p53-like functions and instead promotes proliferation and cell survival. Here, we identify a new and physiologically important mechanism of p63/p73 cross-talk which governs the balance between pro-survival and pro-apoptotic programs in both human and murine squamous cell carcinoma. Through comprehensive profiling of p63-regulated microRNAs (miRs), we identified a subset which target p73 for inhibition, including miR-193a-5p, a direct endogenous transcriptional target repressed by p63 and activated by pro-apoptotic p73 isoforms in both normal cells and tumor cells in vivo. Consequently, chemotherapy treatment causes p63/p73-dependent induction of this miR, thereby limiting chemosensitivity due to miR-mediated feedback control of p73. We demonstrate that interrupting this feedback by inhibiting miR-193a suppresses tumor cell viability and induces dramatic chemosensitivity both in vitro and in vivo. Thus, we have identified a direct, miR-dependent regulatory circuit mediating inducible chemoresistance, whose inhibition provides a new therapeutic opportunity in p53-deficient tumors.
2010-11-23 | GSE25524 | GEO