An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Ilias Angelidis, Lukas M. Simon, Isis E. Fernandez, Maximilian Strunz, Christoph H. Mayr, Flavia R. Greiffo, George Tsitsiridis, Meshal Ansari, Elisabeth Graf, Tim-Matthias Strom, Monica Nagendran, Tushar Desai, Oliver Eickelberg, Matthias Mann, Fabian J. Theis, Herbert B. Schiller

ABSTRACT

Aging promotes lung function decline and susceptibility to chronic lung diseases, which are the third leading cause of death worldwide. Here, we use single cell transcriptomics and mass spectrometry-based proteomics to quantify changes in cellular activity states across 30 cell types and chart the lung proteome of young and old mice. We show that aging leads to increased transcriptional noise, indicating deregulated epigenetic control. We observe cell type-specific effects of aging, uncovering increased cholesterol biosynthesis in type-2 pneumocytes and lipofibroblasts and altered relative frequency of airway epithelial cells as hallmarks of lung aging. Proteomic profiling reveals extracellular matrix remodeling in old mice, including increased collagen IV and XVI and decreased Fraser syndrome complex proteins and collagen XIV. Computational integration of the aging proteome with the single cell transcriptomes predicts the cellular source of regulated proteins and creates an unbiased reference map of the aging lung. More... »

PAGES

963

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-019-08831-9

    DOI

    http://dx.doi.org/10.1038/s41467-019-08831-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112388638

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30814501


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