Changes in gene expression in mouse prostate in response to genetic activation of AMPK
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE214601 | GEO | 2023/10/26
REPOSITORIES: GEO
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Project description:Emerging evidence indicates that metabolic dysregulation drives prostate cancer (PCa) progression and metastasis. AMPK is a master regulator of metabolism although its role in PCa remains unclear. Here we show that genetic and pharmacological activation of AMPK provides a dramatic protective effect on PCa progression in vivo. We show that AMPK activation induces PGC1-alpha expression leading to a catabolic metabolic reprogramming of PCa cells. This catabolic state is characterised by increased mitochondrial gene expression, increased fatty acid oxidation, decreased lipogenic potential, decreased cell proliferation and decreased cell invasiveness. Together, these changes inhibit PCa disease progression. Additionally, we identify a gene network involved in cell cycle regulation that is inhibited by AMPK activation. Strikingly, we show a strong correlation between this gene network and PGC1-alpha gene expression in human PCa. Taken together our findings strongly support the use of AMPK activators for clinical treatment of PCa to improve patient outcome.
2023-03-29 | PXD040731 | Pride
Project description:Extrinsic skin ageing converges on the dermis, a post-mitotic tissue compartment consisting of extracellular matrix and long-lived fibroblasts prone to damage accumulation and maladaptation. Aged human fibroblasts exhibit mitochondrial and nuclear dysfunctions, which may be a cause or consequence of ageing. We report on a systematic study of human dermal fibroblasts retrieved from female donors aged 20-67years and analysed ex vivo at low population doubling precluding replicative senescence. According to gene set enrichment analysis of genome wide array data, the most prominent age-associated change of the transcriptome was decreased expression of mitochondrial genes. Consistent with that, mitochondrial content and cell proliferation declined with donor age. This was associated with upregulation of AMP-dependent protein kinase (AMPK), increased mRNA levels of PPARγ-coactivator 1α (PGC1A) and decreased levels of NAD(+)-dependent deacetylase sirtuin 1. In the old cells the PGC1A-mediated mito-biogenetic response to direct AMPK-stimulation by AICAR was undiminished, while the PGC1A-independent mito-biogenetic response to starvation was attenuated and accompanied by increased ROS-production. In summary, these observations suggest an age-associated decline in PGC1A-independent mito-biogenesis, which is insufficiently compensated by upregulation of the AMPK/PGC1A-axis leading under baseline conditions to decreased mitochondrial content and reductive overload of residual respiratory capacity.
2014-04-08 | GSE55118 | GEO
Project description:The current view of cellular transformation and cancer progression supports the notion that cancer cells must reprogram their metabolism in order to survive and progress in different microenvironments. Master co-regulators of metabolism orchestrate the modulation of multiple metabolic pathways through transcriptional programs, and hence constitute a probabilistically parsimonious mechanism for general metabolic rewiring. Here we show that the transcriptional co-activator PGC1α suppresses prostate cancer progression and metastasis. A metabolic co-regulator data mining analysis unveiled that PGC1α is consistently down-regulated in multiple prostate cancer patient datasets and its alteration is associated with reduced disease-free survival and metastasis. Genetically engineered mouse model studies revealed that compound prostate epithelium-specific deletion of Pgc1a and Pten promotes prostate cancer progression and metastasis, whereas, conversely, PGC1α expression in cell lines inhibits the pre-existing metastatic capacity. Through the application of integrative metabolomics and transcriptomics we demonstrate that PGC1α expression in prostate cancer is sufficient to elicit a global metabolic rewiring that opposes cell growth, consisting of sustained oxidative metabolism at the expense of anabolism. This metabolic program is regulated downstream the Oestrogen-related receptor alpha (ERRα), and PGC1α mutants lacking ERRα activation capacity lack metabolic rewiring capacity and metastasissuppressive function. Importantly, an ERRα signature in prostate cancer recapitulates the prognostic features of PGC1A. Our findings uncover an unprecedented causal contribution of PGC1α to the metabolic switch in prostate cancer and to the suppression of metastatic dissemination. Total RNA was isolated from prostate cancer cell line PC3 expressing or not PGC1a (for induction, cells were treated with doxycycline for 2 passages)
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Project description:Cells respond to mitochondrial energetic stress with rapid activation of the AMP-activated protein kinase (AMPK), which acutely inhibits anabolism and stimulates catabolism. AMPK also induces sustained transcriptional reprogramming of metabolism. The TFEB transcription factor is a major effector of AMPK signals, inducing lysosome genes following energetic stress. Yet the molecular mechanism underlying how AMPK activates TFEB remains unresolved. We demonstrate here that AMPK directly phosphorylates five conserved serine residues in FNIP1, which suppresses the function of the FLCN/FNIP1 RagC GAP complex, in turn controlling TFEB lysosomal localization. We demonstrate that FNIP1 phosphorylation is required for AMPK to induce nuclear translocation of TFEB, which is fully separable from AMPK control of canonical mTORC1 signaling. Using a non-phosphorylatable allele of FNIP1, we show that in parallel to lysosomal biogenesis, AMPK induces mitochondrial biogenesis via TFEB-dependent induction of PGC1a mRNA. This signaling from mitochondrial stress is also independent of amino-acid control of the Rags and TFEB, which still proceed normally in cells bearing the AMPK-non phosphorylatable allele of FNIP1. Taken together, mitochondrial energetic stress triggers AMPK/FNIP1-dependent TFEB nuclear translocation, inducing transcriptional waves of lysosomal and mitochondrial biogenesis.
2023-05-08 | GSE218827 | GEO
Project description:The current view of cellular transformation and cancer progression supports the notion that cancer cells must reprogram their metabolism in order to survive and progress in different microenvironments. Master co-regulators of metabolism orchestrate the modulation of multiple metabolic pathways through transcriptional programs, and hence constitute a probabilistically parsimonious mechanism for general metabolic rewiring. Here we show that the transcriptional co-activator PGC1α suppresses prostate cancer progression and metastasis. A metabolic co-regulator data mining analysis unveiled that PGC1α is consistently down-regulated in multiple prostate cancer patient datasets and its alteration is associated with reduced disease-free survival and metastasis. Genetically engineered mouse model studies revealed that compound prostate epithelium-specific deletion of Pgc1a and Pten promotes prostate cancer progression and metastasis, whereas, conversely, PGC1α expression in cell lines inhibits the pre-existing metastatic capacity. Through the application of integrative metabolomics and transcriptomics we demonstrate that PGC1α expression in prostate cancer is sufficient to elicit a global metabolic rewiring that opposes cell growth, consisting of sustained oxidative metabolism at the expense of anabolism. This metabolic program is regulated downstream the Oestrogen-related receptor alpha (ERRα), and PGC1α mutants lacking ERRα activation capacity lack metabolic rewiring capacity and metastasissuppressive function. Importantly, an ERRα signature in prostate cancer recapitulates the prognostic features of PGC1A. Our findings uncover an unprecedented causal contribution of PGC1α to the metabolic switch in prostate cancer and to the suppression of metastatic dissemination.
2016-03-16 | GSE75193 | GEO
Project description:AMP-activated protein kinase (AMPK) is a major regulator of cellular energy homeostasis that coordinates metabolic pathways in order to balance nutrient supply with energy demand. AMPK elicits acute and diverse metabolic effects by directly phosphorylating various targets. AMPK activation also promotes metabolic reprogramming in longer term via effects on gene expression. The aim of this study is to elucidate molecular mechanism(s) by which AMPK activation modulates metabolic adaptation through its impact on gene regulation.
2019-03-04 | GSE104170 | GEO
Project description:Determining how facultative anaerobic organisms sense and direct cellular responses to electron acceptor availability has been a subject of intense study. However, even in the model organism Escherichia coli, established mechanisms only explain a small fraction of the hundreds of genes that are regulated during shifts in electron acceptor availability. Here we propose a qualitative model that accounts for the full breadth of regulated genes by detailing how two global transcription factors (TFs), ArcA and Fnr of E. coli, sense key metabolic redox ratios and act on a genome-wide basis to regulate anabolic, catabolic, and energy generation pathways. We first fill gaps in our knowledge of this transcriptional regulatory network by carrying out ChIP-chip and gene expression experiments to identify 463 regulatory events. We then interfaced this reconstructed regulatory network with a highly curated genome-scale metabolic model to show that ArcA and Fnr regulate > 80% of total metabolic flux and 96% of differential gene expression across fermentative and nitrate respiratory conditions. Finally, based on the data we propose a feedforward with feedback trim regulatory scheme by showing extensive repression of catabolic genes by ArcA and extensive activation of chemiosmotic genes by Fnr. We further corroborated this regulatory scheme by showing a 0.71 r2 (p < 1e-6) correlation between changes in metabolic flux and changes in regulatory activity across fermentative and nitrate respiratory conditions. We also are able to relate the proposed model to a wealth of previously generated data by contextualizing the existing transcriptional regulatory network. Biological replicates were performed in triplicate for M-NM-^Tfnr, M-NM-^TarcA, and wild type Escherichia coli K12 MG1655 strains under both fully fermentative and nitrate respiratory conditions. An 18 chip study with three different strains under two different culture conditions.
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