Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Type of study
Language
Publication year range
1.
iScience ; 16: 250-269, 2019 Jun 28.
Article in English | MEDLINE | ID: mdl-31200115

ABSTRACT

Stem cells provide a sensitive model to study exposure to toxicants, such as cigarette smoke. Electronic cigarettes (ECs) are popular nicotine delivery devices, often targeted to youth and pregnant mothers. However, little is known about how chemicals in ECs might affect neural stem cells, and in particular their mitochondria, organelles that maintain cell functionality and health. Here we show that the mechanism underlying EC-induced stem cell toxicity is stress-induced mitochondrial hyperfusion (SIMH), a transient survival response accompanied by increased mitochondrial oxidative stress. We identify SIMH as a survival response to nicotine, now widely available in EC refill fluids and in pure form for do-it-yourself EC products. These observed mitochondrial alterations combined with autophagy dysfunction to clear damaged mitochondria could lead to faulty stem cell populations, accelerate cellular aging, and lead to acquired mitochondriopathies. Any nicotine-containing product may likewise stress stem cells with long-term repercussions for users and passively exposed individuals. VIDEO ABSTRACT.

2.
Sci Rep ; 8(1): 16354, 2018 11 05.
Article in English | MEDLINE | ID: mdl-30397207

ABSTRACT

There is a critical need for better analytical methods to study mitochondria in normal and diseased states. Mitochondrial image analysis is typically done on still images using slow manual methods or automated methods of limited types of features. MitoMo integrated software overcomes these bottlenecks by automating rapid unbiased quantitative analysis of mitochondrial morphology, texture, motion, and morphogenesis and advances machine-learning classification to predict cell health by combining features. Our pixel-based approach for motion analysis evaluates the magnitude and direction of motion of: (1) molecules within mitochondria, (2) individual mitochondria, and (3) distinct morphological classes of mitochondria. MitoMo allows analysis of mitochondrial morphogenesis in time-lapse videos to study early progression of cellular stress. Biological applications are presented including: (1) establishing normal phenotypes of mitochondria in different cell types; (2) quantifying stress-induced mitochondrial hyperfusion in cells treated with an environmental toxicant, (3) tracking morphogenesis in mitochondria undergoing swelling, and (4) evaluating early changes in cell health when morphological abnormalities are not apparent. MitoMo unlocks new information on mitochondrial phenotypes and dynamics by enabling deep analysis of mitochondrial features in any cell type and can be applied to a broad spectrum of research problems in cell biology, drug testing, toxicology, and medicine.


Subject(s)
Computational Biology/methods , Machine Learning , Mitochondria/metabolism , A549 Cells , Humans , Mitochondria/drug effects , Movement/drug effects , Phenotype , Selenium/pharmacology , Stress, Physiological , Supervised Machine Learning
3.
Lung Cancer ; 122: 224-233, 2018 08.
Article in English | MEDLINE | ID: mdl-30032837

ABSTRACT

OBJECTIVES: Epithelial-to-mesenchymal transition (EMT) is the initial step enabling the metastasis of cancer cells, which often leads to death. Although smoking is a major risk factor for lung cancer, there is still widespread use of conventional cigarettes. Recently, the tobacco industry has been transformed by the introduction of electronic cigarettes (ECs), which have lower levels of carcinogens and may provide a safer alternative. Here, we investigate the ability of EC liquids and aerosols to induce an EMT in A549 lung cancer cells. MATERIALS AND METHODS: Human adenocarcinoma alveolar basal epithelial cells (A549) were exposed to EC liquids and aerosols from a popular product for 3-8 days. Live cell imaging, EMT biomarker analysis, and machine learning/image processing algorithms were used to characterize changes associated with EMT. RESULTS: Long-term exposure of A549 cells to menthol or tobacco-flavored EC liquids or aerosols induced an EMT that was characterized by acquisition of a fibroblast-like morphology, loss of cell-to-cell junctions, internalization of E-cadherin, increased motility, and upregulation of other EMT markers. The EMT was concurrent with plasma membrane to nuclear translocation of active ß-catenin. CONCLUSION: This is the first known study to show an EMT of lung cancer cells during exposure to EC products. Because an EMT is an initial step leading to metastasis, an intractable problem that often leads to patient death, this critical finding has significant implications for former or heavy cigarette smokers who are using EC and may be at risk for lung cancer or who may already have a lung tumor.


Subject(s)
Adenocarcinoma/pathology , Electronic Nicotine Delivery Systems , Epithelial Cells/physiology , Fibroblasts/physiology , Lung Neoplasms/pathology , A549 Cells , Cell Movement , Cell Proliferation , Epithelial-Mesenchymal Transition , Gene Expression Regulation, Neoplastic , Humans , Neoplasm Metastasis
SELECTION OF CITATIONS
SEARCH DETAIL
...