An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics
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An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics. / Angelidis, Ilias; Simon, Lukas M; Fernandez, Isis E; Strunz, Maximilian; Mayr, Christoph H; Greiffo, Flavia R; Tsitsiridis, George; Ansari, Meshal; Graf, Elisabeth; Strom, Tim-Matthias; Nagendran, Monica; Desai, Tushar; Eickelberg, Oliver; Mann, Matthias; Theis, Fabian J; Schiller, Herbert B.
I: Nature Communications, Bind 10, Nr. 1, 27.02.2019, s. 963.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics
AU - Angelidis, Ilias
AU - Simon, Lukas M
AU - Fernandez, Isis E
AU - Strunz, Maximilian
AU - Mayr, Christoph H
AU - Greiffo, Flavia R
AU - Tsitsiridis, George
AU - Ansari, Meshal
AU - Graf, Elisabeth
AU - Strom, Tim-Matthias
AU - Nagendran, Monica
AU - Desai, Tushar
AU - Eickelberg, Oliver
AU - Mann, Matthias
AU - Theis, Fabian J
AU - Schiller, Herbert B
PY - 2019/2/27
Y1 - 2019/2/27
N2 - 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.
AB - 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.
U2 - 10.1038/s41467-019-08831-9
DO - 10.1038/s41467-019-08831-9
M3 - Journal article
C2 - 30814501
VL - 10
SP - 963
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
IS - 1
ER -
ID: 214464264