AIMC Topic: Cellular Senescence
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Integrative analysis of potential diagnostic markers and therapeutic targets for glomerulus-associated diabetic nephropathy based on cellular senescence.
Frontiers in immunology
Jan 8, 2024
INTRODUCTION: Diabetic nephropathy (DN), distinguished by detrimental changes in the renal glomeruli, is regarded as the leading cause of death from end-stage renal disease among diabetics. Cellular senescence plays a paramount role, profoundly affec...
Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures.
BMC biology
Jan 2, 2024
BACKGROUND: Cell senescence is a sign of aging and plays a significant role in the pathogenesis of age-related disorders. For cell therapy, senescence may compromise the quality and efficacy of cells, posing potential safety risks. Mesenchymal stem c...
Discovery of senolytics using machine learning.
Nature communications
Jun 10, 2023
Cellular senescence is a stress response involved in ageing and diverse disease processes including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest in targeted elimination of senescent cells, only few senolytics ...
Dynamics of redox signaling in aging via autophagy, inflammation, and senescence.
Biogerontology
May 17, 2023
Review paper attempts to explain the dynamic aspects of redox signaling in aging through autophagy, inflammation, and senescence. It begins with ROS source in the cell, then states redox signaling in autophagy, and regulation of autophagy in aging. N...
Nuclear morphology is a deep learning biomarker of cellular senescence.
Nature aging
Aug 15, 2022
Cellular senescence is an important factor in aging and many age-related diseases, but understanding its role in health is challenging due to the lack of exclusive or universal markers. Using neural networks, we predict senescence from the nuclear mo...
Simple Detection of Unstained Live Senescent Cells with Imaging Flow Cytometry.
Cells
Aug 12, 2022
Cellular senescence is a hallmark of aging and a promising target for therapeutic approaches. The identification of senescent cells requires multiple biomarkers and complex experimental procedures, resulting in increased variability and reduced sensi...
Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms.
Scientific reports
Feb 2, 2022
The resident macrophages of the central nervous system, microglia, are becoming increasingly implicated as active participants in neuropathology and ageing. Their diverse and changeable morphology is tightly linked with functions they perform, enabli...
Anti-senescent drug screening by deep learning-based morphology senescence scoring.
Nature communications
Jan 11, 2021
Advances in deep learning technology have enabled complex task solutions. The accuracy of image classification tasks has improved owing to the establishment of convolutional neural networks (CNN). Cellular senescence is a hallmark of ageing and is im...
ARDD 2020: from aging mechanisms to interventions.
Aging
Dec 30, 2020
Aging is emerging as a druggable target with growing interest from academia, industry and investors. New technologies such as artificial intelligence and advanced screening techniques, as well as a strong influence from the industry sector may lead t...
Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.
Archives of toxicology
Jun 12, 2020
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmaceutical companies as well as other industries and regulators. The goal of the current study was to develop an in vitro/in silico method for the rapid ...
Actin Cytoskeleton
Proto-Oncogene Mas
Risk Assessment
Image Processing, Computer-Assisted
Hep G2 Cells
High-Throughput Screening Assays
Transcription Factor RelA
Cellular Senescence
Humans
Toxicity Tests
Chemical and Drug Induced Liver Injury
Cell Death
Dose-Response Relationship, Drug
Machine Learning
Primary Cell Culture
DNA Damage
Hepatocytes
Phenotype
Microscopy, Fluorescence
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