AIMC Topic: DNA Damage
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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...
CHO Cells
Wound Healing
DNA Repair
Animals
Cricetulus
Cell Survival
Leonurus
Antioxidants
Oxidation-Reduction
Protective Agents
Cytoprotection
Plant Extracts
DNA Damage
Chromatography, High Pressure Liquid
Phenols
Cricetinae
Regeneration
DNA Breaks, Double-Stranded
Spectrometry, Mass, Electrospray Ionization
Gene Expression Regulation
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...
A Framework for Automatic Recognition of Cell Damage on Microscopic Images using Artificial Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Despite several technological advances in the past years, the vast majority of microscopy examinations continue to be performed in a very laborious, time-consuming manner, requiring highly experienced personnel to spend several hours to visually exam...
Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.
Toxicological sciences : an official journal of the Society of Toxicology
Mar 1, 2018
The in vitro MultiFlow DNA Damage assay multiplexes p53, γH2AX, phospho-histone H3, and polyploidization biomarkers into 1 flow cytometric analysis (Bryce, S. M., Bernacki, D. T., Bemis, J. C., and Dertinger, S. D. (2016). Genotoxic mode of action pr...
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