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Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways
Sampling various compartments within the lower airways to examine human bronchial epithelial cells (HBEC) is essential for understanding numerous lung diseases. Conventional methods to identify HBEC in bronchoalveolar lavage (BAL) and wash (BW) have throughput limitations in terms of efficiency and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292697/ https://www.ncbi.nlm.nih.gov/pubmed/28165060 http://dx.doi.org/10.1038/srep42214 |
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author | Maestre-Batlle, Danay Pena, Olga M. Hirota, Jeremy A. Gunawan, Evelyn Rider, Christopher F. Sutherland, Darren Alexis, Neil E. Carlsten, Chris |
author_facet | Maestre-Batlle, Danay Pena, Olga M. Hirota, Jeremy A. Gunawan, Evelyn Rider, Christopher F. Sutherland, Darren Alexis, Neil E. Carlsten, Chris |
author_sort | Maestre-Batlle, Danay |
collection | PubMed |
description | Sampling various compartments within the lower airways to examine human bronchial epithelial cells (HBEC) is essential for understanding numerous lung diseases. Conventional methods to identify HBEC in bronchoalveolar lavage (BAL) and wash (BW) have throughput limitations in terms of efficiency and ensuring adequate cell numbers for quantification. Flow cytometry can provide high-throughput quantification of cell number and function in BAL and BW samples, while requiring low cell numbers. To date, a flow cytometric method to identify HBEC recovered from lower human airway samples is unavailable. In this study we present a flow cytometric method identifying HBEC as CD45 negative, EpCAM/pan-cytokeratin (pan-CK) double-positive population after excluding debris, doublets and dead cells from the analysis. For validation, the HBEC panel was applied to primary HBEC resulting in 98.6% of live cells. In healthy volunteers, HBEC recovered from BAL (2.3% of live cells), BW (32.5%) and bronchial brushing samples (88.9%) correlated significantly (p = 0.0001) with the manual microscopy counts with an overall Pearson correlation of 0.96 across the three sample types. We therefore have developed, validated, and applied a flow cytometric method that will be useful to interrogate the role of the respiratory epithelium in multiple lung diseases. |
format | Online Article Text |
id | pubmed-5292697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52926972017-02-10 Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways Maestre-Batlle, Danay Pena, Olga M. Hirota, Jeremy A. Gunawan, Evelyn Rider, Christopher F. Sutherland, Darren Alexis, Neil E. Carlsten, Chris Sci Rep Article Sampling various compartments within the lower airways to examine human bronchial epithelial cells (HBEC) is essential for understanding numerous lung diseases. Conventional methods to identify HBEC in bronchoalveolar lavage (BAL) and wash (BW) have throughput limitations in terms of efficiency and ensuring adequate cell numbers for quantification. Flow cytometry can provide high-throughput quantification of cell number and function in BAL and BW samples, while requiring low cell numbers. To date, a flow cytometric method to identify HBEC recovered from lower human airway samples is unavailable. In this study we present a flow cytometric method identifying HBEC as CD45 negative, EpCAM/pan-cytokeratin (pan-CK) double-positive population after excluding debris, doublets and dead cells from the analysis. For validation, the HBEC panel was applied to primary HBEC resulting in 98.6% of live cells. In healthy volunteers, HBEC recovered from BAL (2.3% of live cells), BW (32.5%) and bronchial brushing samples (88.9%) correlated significantly (p = 0.0001) with the manual microscopy counts with an overall Pearson correlation of 0.96 across the three sample types. We therefore have developed, validated, and applied a flow cytometric method that will be useful to interrogate the role of the respiratory epithelium in multiple lung diseases. Nature Publishing Group 2017-02-06 /pmc/articles/PMC5292697/ /pubmed/28165060 http://dx.doi.org/10.1038/srep42214 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Maestre-Batlle, Danay Pena, Olga M. Hirota, Jeremy A. Gunawan, Evelyn Rider, Christopher F. Sutherland, Darren Alexis, Neil E. Carlsten, Chris Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title | Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title_full | Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title_fullStr | Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title_full_unstemmed | Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title_short | Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
title_sort | novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292697/ https://www.ncbi.nlm.nih.gov/pubmed/28165060 http://dx.doi.org/10.1038/srep42214 |
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