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1000
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Abstract/Summary
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Optical clearing combined with deep imaging of large biological specimen allows organ-wide visualization of cells in three dimensions (3D) to explore regenerative processes in a spatial context. Here, we investigate the dynamics of airway regeneration following toxin-mediated epithelial injury in cleared whole lung preparations by light sheet microscopy. We use a recently developed knock-in mouse strain labeling bronchiolar Club cells (Scgb1a1-mCherry) to define an optimal clearing procedure that efficiently preserves genetically encoded fluorophores. Dehydration in pH-adjusted tert-butanol followed by clearing in ethyl cinnamate maintained maximum mCherry fluorescence while preventing unfavorable background fluorescence. We apply this technique to depict the course of bronchiolar epithelial renewal from an acute injury phase to early and late recovery stages. 3D reconstructions of whole lungs demonstrate near-complete loss of secretory Club cells throughout the entire respiratory tract 3 days post naphthalene (dpn). Multiple foci of regenerating Club cells emerge at 7 dpn, predominantly at airway bifurcations and in distal terminal bronchioles-anatomical regions assumed to harbor distinct stem/progenitor cells subsets. At 21 dpn, clusters of newly formed Club cells have largely expanded, although the bronchiolar epithelial lining continues to regenerate. This study identifies regional stem cell niches as starting points for epithelial recovery, underscores the enormous regenerative capacity of the respiratory epithelium and demonstrates the power of whole lung 3D imaging for evaluating the extent of pulmonary damage and subsequent repair processes.
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1000
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Hinweis
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DeepGreen-ID: 302a9d292ae2499e9ca807d15906b31d ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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