AIMC Topic: DNA Damage
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Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms.
Environmental science and pollution research international
Oct 30, 2017
Monitoring exposure to xenobiotics by biomarker analyses, such as a micronucleus assay, is extremely important for the precocious detection and prevention of diseases, such as oral cancer. The aim of this study was to evaluate genotoxic effects in ru...
Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach.
Environmental and molecular mutagenesis
Jan 13, 2016
Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity were multiplexed into a miniaturized, "add and read" type flow cytometric assay. Reagents included a detergent to liberate nuclei, RNase and propidium io...
The Effect of Leonurus sibiricus Plant Extracts on Stimulating Repair and Protective Activity against Oxidative DNA Damage in CHO Cells and Content of Phenolic Compounds.
Oxidative medicine and cellular longevity
Dec 14, 2015
Leonurus sibiricus L. has been used as a traditional and medicinal herb for many years in Asia and Europe. This species is known to have antibacterial, anti-inflammatory, and antioxidant activity and has demonstrated a reduction of intracellular reac...
Cricetinae
DNA Breaks, Double-Stranded
Cricetulus
DNA Repair
Oxidation-Reduction
Leonurus
Cell Survival
Regeneration
Animals
DNA Damage
Protective Agents
Spectrometry, Mass, Electrospray Ionization
Antioxidants
Chromatography, High Pressure Liquid
Phenols
Gene Expression Regulation
Plant Extracts
CHO Cells
Cytoprotection
Wound Healing
Methodological considerations for using umu assay to assess photo-genotoxicity of engineered nanoparticles.
Mutation research. Genetic toxicology and environmental mutagenesis
Nov 24, 2015
In this study we investigated the feasibility of high-throughput (96-well plate) umu assay to test the genotoxic effect of TiO2 engineered nanoparticles (ENPs) under UV light (full spectrum) and visible light (455 nm). Exposure of TiO2 ENPs to up to ...
Robotic radiation shielding system reduces radiation-induced DNA damage in operators performing electrophysiological procedures.
Scientific reports
May 28, 2025
Fluoroscopically guided electrophysiology (EP) procedures expose operators to low doses of ionizing radiation, which can induce DNA double-strand breaks (DSBs) and raises increasing concerns regarding potential health risks. A novel robotic radiation...
Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.
Medicine
Jan 31, 2025
Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanism still unclear. DNA damage repair (DDR) is essential for maintaining genome integrity. This study aimed to explore the role of DDR-related genes in t...
Measuring Cell Dimensions in Fission Yeast Using Machine Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
In fission yeast (Schizosaccharomyces pombe), cell length is a crucial indicator of cell cycle progression. Microscopy screens that examine the effect of agents or genotypes suspected of altering genomic or metabolic stability and thus cell size are ...
An artificial neural network model based on DNA damage response genes to predict outcomes of lower-grade glioma patients.
Briefings in bioinformatics
Nov 5, 2021
Although the prognosis of lower-grade glioma (LGG) patients is better than others, outcomes are highly heterogeneous. Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status can identify patient subsets with different prognosis. However,...
Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.
Integrative biology : quantitative biosciences from nano to macro
May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
Evaluation of genotoxicity after acute and chronic exposure to 2,4-dichlorophenoxyacetic acid herbicide (2,4-D) in rodents using machine learning algorithms.
The Journal of toxicological sciences
Jan 1, 2020
2,4-Dichlorophenoxyacetic acid (2,4-D) is one of the most widely used herbicides in the world, but its mutagenic and carcinogenic potential is still controversial. We simulated environmental exposure to 2,4-D, with the objective of evaluating the gen...
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