Particle and Fibre Toxicology · 2023 · 11 citations · 40 references
Life SciencesCell BiologyMolecular BiologyCell SignalingGene ExpressionTranscriptomicsEpithelial-mesenchymal TransitionInterstitial Lung DiseaseSingle-cell AnalysisSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsEpithelial-mesenchymal Transition MarkersLung DiseasesOccupational Lung ToxicityProgressive Pulmonary FibrosisPulmonary Fibrosis ProgressionSilicosisSingle-cell Rna SequencingTranscriptome Sequencing
Chronic exposure to silica can lead to silicosis, one of the most serious occupational lung diseases worldwide, for which there is a lack of effective therapeutic drugs and tools. Epithelial mesenchymal transition plays an important role in several diseases; however, data on the specific mechanisms in silicosis models are scarce. We elucidated the pathogenesis of pulmonary fibrosis via single-cell transcriptome sequencing and constructed an experimental silicosis mouse model to explore the specific molecular mechanisms affecting epithelial mesenchymal transition at the single-cell level. Notably, as silicosis progressed, glycoprotein non-metastatic melanoma protein B (GPNMB) exerted a sustained amplification effect on alveolar type II epithelial cells, inducing epithelial-to-mesenchymal transition by accelerating cell proliferation and migration and increasing mesenchymal markers, ultimately leading to persistent pulmonary pathological changes. GPNMB participates in the epithelial-mesenchymal transition in distant lung epithelial cells by releasing extracellular vesicles to accelerate silicosis. These vesicles are involved in abnormal changes in the composition of the extracellular matrix and collagen structure. Our results suggest that GPNMB is a potential target for fibrosis prevention.
40
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan et al. · Nature Methods · 2019 · 10.5K citations · Full text
Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu, Qi Mao, Ying Tang et al. · Nature Methods · 2017 · 5.4K citations · Full text