Particulate matter composition drives differential molecular and morphological responses in lung epithelial cells
暂无分享,去创建一个
Sean M. Engels | Lydia M. Contreras | J. Phillip | L. Contreras | Yukang Li | Pratik Kamat | Anshika Agrawal | G. S. Pafilis | Daniel J. Haller | Dennis Discher
[1] Anne E Carpenter,et al. Morphology and gene expression profiling provide complementary information for mapping cell state , 2022, bioRxiv.
[2] M. Gorospe,et al. Nuclear morphology is a deep learning biomarker of cellular senescence , 2022, Nature Aging.
[3] H. Ghandehari,et al. Comparison of biological responses between submerged, pseudo-air-liquid interface, and air-liquid interface exposure of A549 and differentiated THP-1 co-cultures to combustion-derived particles , 2022, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.
[4] W. Zou,et al. PM2.5 Induces Airway Remodeling in Chronic Obstructive Pulmonary Diseases via the Wnt5a/β-Catenin Pathway , 2021, International journal of chronic obstructive pulmonary disease.
[5] Y. Rudich,et al. Cytotoxicity and chemical composition of women's personal PM2.5 exposures from rural China , 2021, Environmental science: atmospheres.
[6] Anne E Carpenter,et al. CellProfiler 4: improvements in speed, utility and usability , 2021, BMC Bioinformatics.
[7] Erik S. Welf,et al. Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma. , 2021, Cell systems.
[8] I. Jaspers,et al. Differential responses to e-cig generated aerosols from humectants and different forms of nicotine in epithelial cells from non-smokers and smokers. , 2021, American journal of physiology. Lung cellular and molecular physiology.
[9] Meilin Wang,et al. METTL3 regulates PM2.5-induced cell injury by targeting OSGIN1 in human airway epithelial cells. , 2021, Journal of hazardous materials.
[10] Wei-Chiang Chen,et al. A robust unsupervised machine-learning method to quantify the morphological heterogeneity of cells and nuclei , 2021, Nature Protocols.
[11] S. Yi,et al. The impact of organic extracts of seasonal PM2.5 on primary human lung epithelial cells and their chemical characterization , 2021, Environmental Science and Pollution Research.
[12] A. Venosa. Senescence in Pulmonary Fibrosis: Between Aging and Exposure , 2020, Frontiers in Medicine.
[13] A. Segers,et al. Sources of particulate-matter air pollution and its oxidative potential in Europe , 2020, Nature.
[14] Lydia M. Contreras,et al. RNA oxidation in chromatin modification and DNA-damage response following exposure to formaldehyde , 2020, Scientific Reports.
[15] Lydia M. Contreras,et al. Post-transcriptional air pollution oxidation to the cholesterol biosynthesis pathway promotes pulmonary stress phenotypes , 2020, Communications Biology.
[16] Shalin B. Mehta,et al. DynaMorph: self-supervised learning of morphodynamic states of live cells , 2021 .
[17] Anne E Carpenter,et al. Predicting cell health phenotypes using image-based morphology profiling , 2020, bioRxiv.
[18] Pablo Ariel,et al. Exposure Effects Beyond the Epithelial Barrier: Trans-Epithelial Induction of Oxidative Stress by Diesel Exhaust Particulates in Lung Fibroblasts in an Organotypic Human Airway Model. , 2020, Toxicological sciences : an official journal of the Society of Toxicology.
[19] Pei-Hsun Wu,et al. Fractional re-distribution among cell motility states during ageing , 2020, bioRxiv.
[20] E. Burchard,et al. Genome-wide Analysis Reveals Mucociliary Remodeling of the Nasal Airway Epithelium Induced by Urban PM2.5. , 2020, American journal of respiratory cell and molecular biology.
[21] Yiguo Jiang,et al. CircRNA104250 and lncRNAuc001.dgp.1 promote the PM2.5-induced inflammatory response by co-targeting miR-3607-5p in BEAS-2B cells. , 2019, Environmental Pollution.
[22] Xiaobo Li,et al. Ambient fine particulate matter (PM2.5) induces oxidative stress and pro-inflammatory response via up-regulating the expression of CYP1A1/1B1 in human bronchial epithelial cells in vitro. , 2019, Mutation research. Genetic toxicology and environmental mutagenesis.
[23] S. Manalis,et al. Excessive Cell Growth Causes Cytoplasm Dilution And Contributes to Senescence , 2019, Cell.
[24] Richard T Burnett,et al. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors. , 2019, Environmental science & technology.
[25] Muhammad Ali,et al. A systematic review on global pollution status of particulate matter-associated potential toxic elements and health perspectives in urban environment , 2018, Environmental Geochemistry and Health.
[26] Leland McInnes,et al. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction , 2018, ArXiv.
[27] Jonathan J. Chen,et al. Biophysical and biomolecular determination of cellular age in humans , 2017, Nature Biomedical Engineering.
[28] B. A. Bandowe,et al. Nitrated polycyclic aromatic hydrocarbons (nitro-PAHs) in the environment - A review. , 2017, The Science of the total environment.
[29] N. Waterhouse,et al. Quantitation of Apoptosis and Necrosis by Annexin V Binding, Propidium Iodide Uptake, and Flow Cytometry. , 2016, Cold Spring Harbor protocols.
[30] Daniel I Bolnick,et al. Evaluation of TagSeq, a reliable low‐cost alternative for RNAseq , 2016, Molecular ecology resources.
[31] Andrew D. Rouillard,et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update , 2016, Nucleic Acids Res..
[32] C. Jin,et al. Water soluble and insoluble components of urban PM2.5 and their cytotoxic effects on epithelial cells (A549) in vitro. , 2016, Environmental pollution.
[33] Jeffrey T Leek,et al. Evolution of cellular morpho-phenotypes in cancer metastasis , 2015, Scientific Reports.
[34] R. Burnett,et al. Ischemic Heart Disease Mortality and Long-Term Exposure to Source-Related Components of U.S. Fine Particle Air Pollution , 2015, Environmental health perspectives.
[35] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[36] Paul Theodor Pyl,et al. HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.
[37] M. Matz,et al. Profiling gene expression responses of coral larvae (Acropora millepora) to elevated temperature and settlement inducers using a novel RNA‐Seq procedure , 2011, Molecular ecology.
[38] Edward D. Karoly,et al. Comparison of Gene Expression Profiles Induced By Coarse, Fine, and Ultrafine Particulate Matter , 2011, Journal of toxicology and environmental health. Part A.
[39] P. Schwarze,et al. Differences in cytotoxicity versus pro-inflammatory potency of different PM fractions in human epithelial lung cells. , 2010, Toxicology in vitro : an international journal published in association with BIBRA.
[40] Linda J. Kuo,et al. γ-H2AX - A Novel Biomarker for DNA Double-strand Breaks , 2008 .
[41] A. Nel,et al. Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage. , 2002, Environmental health perspectives.
[42] Hannu Raunio,et al. Expression and Regulation of Xenobiotic-Metabolizing Cytochrome P450 (CYP) Enzymes in Human Lung , 2002, Critical reviews in toxicology.
[43] M. Green. Air pollution and health , 1995 .
[44] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[45] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[46] Sinem Adar,et al. Review of recent studies , 2008 .
[47] M. Ursínyová,et al. Chapter 3 Cadmium in the environment of Central Europe , 2000 .