The recognition that the p53 tumour suppressor gene is frequently inactivated in human cancers has galvanized an intense pursuit of the fundamental mechanisms by which the encoded protein halts malignant transformation and tumour progression. It is now evident that p53 is a multifunctional transcription factor that is intimately involved in the cellular response to stressful stimuli such as DNA damage and hypoxia. In addition to its role in the surveillance mechanisms that arrest cell cycle progression, p53 can also trigger apoptosis in response to DNA damage or oncogenic aberrations that induce aberrant cell cycle progression. Since p53 is a critical component for DNA damage-induced apoptosis, the frequent occurrence of p53 mutations in human neoplasia provides a genetic basis for their poor response to genotoxic anticancer agents. Two recent studies offer key insights into the molecular mechanisms employed by p53 to induce cell death. One model indicates that p53 induces redox-related genes that generate reactive oxygen species and promote the oxidative degradation of mitochondrial components. The other demonstrates p53-mediated induction of DR5, a death receptor of the tumour necrosis factor receptor family, that induces death by caspase-mediated proteolysis. These insights provide an exhilarating array of possible therapeutic interventions against p53-deficient human cancers that may pay enormous dividends in the not-too-distant future.
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http://dx.doi.org/10.1023/a:1009648824027 | DOI Listing |
J Chem Inf Model
January 2025
Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States.
Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. Concurrently, our ability to perform long-time scale molecular dynamics (MD) simulations on proteins and other materials has increased exponentially.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
State Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, PR China.
A total of 38 new benzohydrazide derivatives bearing the 4-aminoquinazoline moiety were designed and synthesized based on the active subunit combination approach and tested in detail for their inhibition activities against eight agricultural phytopathogenic fungi. The bioassay results indicated that many of the synthesized compounds exhibited extraordinary fungicidal activities in vitro against the tested fungi. For example, compounds , , , and had EC (half-maximal effective concentration) values of 0.
View Article and Find Full Text PDFOrthop Surg
January 2025
Department of Orthopedics, Tianjin Medical University General Hospital, International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin, China.
Objective: Knee osteoarthritis (KOA) is characterized by structural changes. Aging is a major risk factor for KOA. Therefore, the objective of this study was to examine the role of genes related to aging and circadian rhythms in KOA.
View Article and Find Full Text PDFMol Ecol
January 2025
Institute of Freshwater Research, Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences, Drottningholm, Sweden.
How genetic variation contributes to adaptation at different environments is a central focus in evolutionary biology. However, most free-living species still lack a comprehensive understanding of the primary molecular mechanisms of adaptation. Here, we characterised the targets of selection associated with drastically different aquatic environments-humic and clear water-in the common freshwater fish, Eurasian perch (Perca fluviatilis).
View Article and Find Full Text PDFJ Neuroendocrinol
January 2025
Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Gonadotroph neuroendocrine pituitary tumors are among the most common intracranial neoplasms. A notable proportion of these tumors is characterized by invasive growth which hampers the treatment results and worsens prognoses of patients. Increased hsa-miR-184 expression was observed in invasive as compared to non-invasive gonadotroph tumors.
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