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We began analyzing https://link.springer.com/article/10.1007/s12033-024-01139-0, but it redirected us to https://link.springer.com/article/10.1007/s12033-024-01139-0. The analysis below is for the second page.

Title[redir]:
Deciphering Ferroptosis: From Molecular Pathways to Machine Learning-Guided Therapeutic Innovation | Molecular Biotechnology
Description:
Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatment, suppressing ferroptosis or circumventing it holds significant promise. Beyond cancer, ferroptosis affects aging, organs, metabolism, and nervous system. Understanding ferroptosis mechanisms holds promise for uncovering novel therapeutic strategies across a spectrum of diseases. However, detection and regulation of this regulated cell death are still mired with challenges. The dearth of cell, tissue, or organ-specific biomarkers muted the pharmacological use of ferroptosis. This review covers recent studies on ferroptosis, detailing its properties, key genes, metabolic pathways, and regulatory networks, emphasizing the interaction between cellular signaling and ferroptotic cell death. It also summarizes recent findings on ferroptosis inducers, inhibitors, and regulators, highlighting their potential therapeutic applications across diseases. The review addresses challenges in utilizing ferroptosis therapeutically and explores the use of machine learning to uncover complex patterns in ferroptosis-related data, aiding in the discovery of biomarkers, predictive models, and therapeutic targets. Finally, it discusses emerging research areas and the importance of continued investigation to harness the full therapeutic potential of targeting ferroptosis. Graphical Abstract

Matching Content Categories {πŸ“š}

  • Education
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Content Management System {πŸ“}

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Custom-built

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Traffic Estimate {πŸ“ˆ}

What is the average monthly size of doi.org audience?

πŸ™οΈ Massive Traffic: 50M - 100M visitors per month


Based on our best estimate, this website will receive around 98,426,998 visitors per month in the current month.

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Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Doi.org might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {πŸ”}

pubmed, article, google, scholar, ferroptosis, cas, cell, central, cancer, death, journal, molecular, disease, biology, cells, research, machine, nature, learning, protein, injury, genes, frontiers, ferroptosisrelated, gpx, inhibition, pathway, therapeutic, iron, mechanisms, medicine, analysis, biotechnology, potential, gene, carcinoma, slca, sciences, communications, promotes, lung, cellular, acute, inhibiting, identification, signaling, discovery, role, fsp, chemical,

Topics {βœ’οΈ}

n-acetyl-para-aminophenol acsl4 month download article/chapter lncgm36569/mir-5627-5p/fsp1 axis oncogenic-ras-harboring cancer cells 3-hydroxy-3-methylglutaryl-coa htt cystine/glutamate transporter-deficient mice suppress erastin-induced ferroptosis ferroptosis-related gene signature deeplina das ischemia-induced myocardial damage p53-mediated ferroptotic responses alox5-mediated ferroptosis acts ferroptosis-related gene atg5 drug-induced liver injury mir-375-3p/slc11a2 axis sepsis-induced myocardial dysfunction molecular cancer therapeutics sat1-induced astrocytic ferroptosis blocking tfeb/fth1 signaling p53-mediated metabolic activities ros-induced stress responses impaired stress-induced erythropoiesis p53-independent tumor suppression ferroptosis-related hub genes cystine transporter slc7a11/xct deferoxamine promotes recovery nrf2-xct/gpx4 axis single-cell transcriptomic analysis cystine/glutamate antiporter system identified ferroptosis-marker rpl8 glutathione-independent ferroptosis suppressor hif-1Ξ±/slc7a11 pathway ferroptosis-related therapeutic targets ferritin heavy chain activating nrf2/gpx4 pathway organ-specific biomarkers muted key ferroptosis-related biomarkers acs central science cerebral ischemia-reperfusion full article pdf nucleic acids research attenuates myelin damage autophagy-mediated gpx4 degradation iron-dependent form article mete renal cell carcinoma mitochondrial-related ferroptosis stem cell reviews apoptosis prediction based regulating iron homeostasis

Questions {❓}

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Schema {πŸ—ΊοΈ}

WebPage:
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         headline:Deciphering Ferroptosis: From Molecular Pathways to Machine Learning-Guided Therapeutic Innovation
         description:Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatment, suppressing ferroptosis or circumventing it holds significant promise. Beyond cancer, ferroptosis affects aging, organs, metabolism, and nervous system. Understanding ferroptosis mechanisms holds promise for uncovering novel therapeutic strategies across a spectrum of diseases. However, detection and regulation of this regulated cell death are still mired with challenges. The dearth of cell, tissue, or organ-specific biomarkers muted the pharmacological use of ferroptosis. This review covers recent studies on ferroptosis, detailing its properties, key genes, metabolic pathways, and regulatory networks, emphasizing the interaction between cellular signaling and ferroptotic cell death. It also summarizes recent findings on ferroptosis inducers, inhibitors, and regulators, highlighting their potential therapeutic applications across diseases. The review addresses challenges in utilizing ferroptosis therapeutically and explores the use of machine learning to uncover complex patterns in ferroptosis-related data, aiding in the discovery of biomarkers, predictive models, and therapeutic targets. Finally, it discusses emerging research areas and the importance of continued investigation to harness the full therapeutic potential of targeting ferroptosis.
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      description:Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatment, suppressing ferroptosis or circumventing it holds significant promise. Beyond cancer, ferroptosis affects aging, organs, metabolism, and nervous system. Understanding ferroptosis mechanisms holds promise for uncovering novel therapeutic strategies across a spectrum of diseases. However, detection and regulation of this regulated cell death are still mired with challenges. The dearth of cell, tissue, or organ-specific biomarkers muted the pharmacological use of ferroptosis. This review covers recent studies on ferroptosis, detailing its properties, key genes, metabolic pathways, and regulatory networks, emphasizing the interaction between cellular signaling and ferroptotic cell death. It also summarizes recent findings on ferroptosis inducers, inhibitors, and regulators, highlighting their potential therapeutic applications across diseases. The review addresses challenges in utilizing ferroptosis therapeutically and explores the use of machine learning to uncover complex patterns in ferroptosis-related data, aiding in the discovery of biomarkers, predictive models, and therapeutic targets. Finally, it discusses emerging research areas and the importance of continued investigation to harness the full therapeutic potential of targeting ferroptosis.
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External Links {πŸ”—}(570)

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Emails and Hosting {βœ‰οΈ}

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