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From COVID to fibrosis: lessons from single-cell analyses of the human lung

Abstract : Abstract The increased resolution of single-cell RNA-sequencing technologies has led to major breakthroughs and improved our understanding of the normal and pathologic conditions of multiple tissues and organs. In the study of parenchymal lung disease, single-cell RNA-sequencing has better delineated known cell populations and identified novel cells and changes in cellular phenotypes and gene expression patterns associated with disease. In this review, we aim to highlight the advances and insights that have been made possible by applying these technologies to two seemingly very different lung diseases: fibrotic interstitial lung diseases, a group of relentlessly progressive lung diseases leading to pulmonary fibrosis, and COVID-19 pneumonia, an acute viral disease with life-threatening complications, including pulmonary fibrosis. We discuss changes in cell populations and gene expression, highlighting potential common features, such as alveolar cell epithelial injury and aberrant repair and monocyte-derived macrophage populations, as well as relevance and implications to mechanisms of disease and future directions.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-03700777
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Submitted on : Tuesday, June 21, 2022 - 2:12:24 PM
Last modification on : Wednesday, September 7, 2022 - 1:46:26 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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Aurelien Justet, Amy Zhao, Naftali Kaminski. From COVID to fibrosis: lessons from single-cell analyses of the human lung. Human Genomics, 2022, 16 (1), pp.20. ⟨10.1186/s40246-022-00393-0⟩. ⟨hal-03700777⟩

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