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Recent studies show that complex mechanisms are involved in arsenic-induced malignant transformation of cells. This study aimed to decipher molecular mechanisms associated with arsenic-induced cutaneous squamous cell carcinoma (cSCC) and suggest potential protective factors. RNA-seq-based differentially expressed genes between arsenic-exposed human keratinocytes (HaCaT) and controls were used to construct a protein-protein interaction (PPI) network and discover critical subnetwork-based mechanisms. Protective compounds against arsenic toxicity were determined and their target interactions in the core sub-network were identified by the comparative toxicogenomic database (CTD). The binding affinity between the effective factor and target was calculated by molecular docking. A total of 15 key proteins were screened out as critical arsenic-responsive subnetwork (FN1, IL-1A, CCN2, PECAM1, FGF5, EDN1, FGF1, PXDN, DNAJB9, XBP1, ERN1, PDIA4, DNAJB11, FOS, PDIA6) and 7 effective protective agents were identified (folic acid, quercetin, zinc, acetylcysteine, methionine, catechin, selenium). The GeneMANIA predicted detailed interactions of the subnetwork and revealed terms related to unfolded protein response as the main processes. FN1, IL1A and CCN2, as top significant genes, had good docking affinity with folic acid and quercetin, as selected key compounds. Integration of gene expression and protein-protein interaction related to arsenic exposure in cSCC explored the potential mechanisms and protective agents.
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http://dx.doi.org/10.1016/j.fct.2024.114451 | DOI Listing |
Cell Commun Signal
September 2025
Department of Cytology, Institute of Anatomy, Medical Faculty, Ruhr-University Bochum, Universitätsstr. 150, Building MA 5/52, Bochum, 44801, Germany.
Background: Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by oxidative stress and progressive motor neuron degeneration. This study evaluates the potential neuroprotective effects of caffeine in the Wobbler mouse, an established model of ALS.
Methods: Wobbler mice received caffeine supplementation (60 mg/kg/day) via drinking water, and key parameters, including muscle strength, NAD metabolism, oxidative stress, and motor neuron morphology, were assessed at critical disease stages.
Nat Aging
September 2025
State Key Laboratory of Conservation and Utilization of Bio-resources in Yunnan and Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, China.
Membraneless organelles assembled by liquid-liquid phase separation interact with diverse membranous organelles to regulate distinct cellular processes. It remains unknown how membraneless organelles are engaged in mitochondrial homeostasis. Here we demonstrate that mitochondria-associated translation organelles (MATOs) mediate local synthesis of proteins required for structural and functional maintenance of mitochondria.
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September 2025
Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
Bacteriophages are the most abundant entities on earth and exhibit vast genetic and phenotypic diversity. Exploitation of this largely unexplored molecular space requires identification and functional characterization of genes that act at the phage-host interface. So far, this has been restricted to few model phage-host systems that are amenable to genetic manipulation.
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September 2025
The Randall Centre for Cell & Molecular Biophysics, School of Basic & Medical Biosciences, King's College London, London, UK.
Epithelial cells work collectively to provide a protective barrier, yet they turn over rapidly through cell division and death. If the numbers of dividing and dying cells do not match, the barrier can vanish, or tumours can form. Mechanical forces through the stretch-activated ion channel Piezo1 link both of the processes; stretch promotes cell division, whereas crowding triggers live cells to extrude and then die.
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September 2025
Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Cancer development and response to treatment are evolutionary processes, but characterizing evolutionary dynamics at a clinically meaningful scale has remained challenging. Here we develop a new methodology called EVOFLUx, based on natural DNA methylation barcodes fluctuating over time, that quantitatively infers evolutionary dynamics using only a bulk tumour methylation profile as input. We apply EVOFLUx to 1,976 well-characterized lymphoid cancer samples spanning a broad spectrum of diseases and show that initial tumour growth rate, malignancy age and epimutation rates vary by orders of magnitude across disease types.
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