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Get Free Access<h3>Introduction:</h3> COPD is associated with cellular senescence, hallmarks of which include increased cell size, autofluorescence, senescence associated-β-galactosidase (SA-β-Gal) staining, mitochondrial dysfunction, reduced proliferation and cell cycle inhibitor expression. Dilution of these markers due to proliferation of non-senescent cells makes studying senescence in proliferative cells, such as fibroblasts, challenging. <h3>Aim:</h3> Assess whether senescent fibroblasts can be isolated from a mixed COPD fibroblast population. <h3>Method:</h3> Fibroblasts were isolated from COPD patient lung resections (n=6). Cells were sorted using a FACSAria Fusion into a "senescence-enriched population" (largest and most autofluorescence) and a "non-senescent population" (smallest, least autofluorescence). Senescence was investigated in these populations using SA-β-Gal for senescent cell identification, iCELLigence technology to assess proliferation, Seahorse assay to investigate mitochondrial function and RT-qPCR to measure cell cycle inhibitor expression. <h3>Results:</h3> Senescence-enriched fibroblasts were larger and more autofluorescence and displayed greater SA-β-Gal staining. These cells trended towards reduced proliferation over the first 48h of growth compared to the non-senescent population. Senescence-enriched fibroblasts showed increased basal mitochondrial function (p<0.05), maximal respiration (p<0.05) and ATP production (p=0.06). Senescence-enriched fibroblasts also exhibited elevated p16<sup>INK4a</sup> (p<0.05), p21<sup>WAF1/CIP1</sup> (p<0.05) and p15<sup>INK4b</sup> (p=0.10) gene expression. <h3>Conclusion:</h3> These data suggest FACS isolate senescent-enriched fibroblasts. This technique can be used to study fibroblast senescence mechanisms and provide therapeutic targets for COPD.
Catherine Wrench, J. Baker, P.S. Fenwick, Louise Donnelly, Peter J Barnes (2020). Fluorescence-activated cell sorting of senescent fibroblasts. , DOI: https://doi.org/10.1183/23120541.lsc-2020.39.
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Type
Article
Year
2020
Authors
5
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1183/23120541.lsc-2020.39
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