The University of Southampton
University of Southampton Institutional Repository

Characterisation of an ex vivo model of human airway epithelium

Characterisation of an ex vivo model of human airway epithelium
Characterisation of an ex vivo model of human airway epithelium
Introduction: ex vivo airway epithelial cell models provide a biologically representative platform for investigating airway diseases. When cultured at the air-liquid interface (ALI), cells should mimic the physiology of in vivo conditions rendering them invaluable as diagnostic and research tools.

Methods: cells from nasal brush biopsy were expanded in PneumaCult™-Ex Plus Medium (STEMCELL Technologies) for 12 days. Once confluent, the monolayer of basal cells was exposed to an ALI and fed basolaterally with PneumaCult™-ALI Medium. Epithelial tight junction formation was assessed by transepithelial electrical resistance (TEER) and cell layer integrity was measured using fluorescein sodium as a marker of paracellular permeability. Cell morphology was examined by histology, confocal and electron microscopy. Ciliary function was assessed by high speed video analysis and percentage coverage of cilial beating was quantified using a fast Fourier transform algorithm. Supernatants were analysed weekly for cytokine production.

Results: motile cilia were first observed by day 7 at ALI. TEER was maintained for 4 weeks before showing signs of gradual decline. Imaging showed fully differentiated epithelium with tight junctional complexes at 12 weeks post-ALI. Ciliary beat frequency at 3-5 weeks post-ALI (mean 14.18 Hz; SD ±1.84; n=20) was within the physiologically normal range at 37°C. Percentage coverage of cilial beating at 4-7 weeks post-ALI was 41.1% (SD ±14.83; n=6).

Conclusion: we report a biologically relevant model of primary human airway epithelium for the investigation of airway pathophysiology. We are currently using it to diagnose primary ciliary dyskinesia and for experimental research.
0903-1936
Horton, Katie L.
0e8b1fe0-65ae-41d2-815e-d8ee76ee9433
Coles, Janice L.
fb9d20aa-93b9-42b3-9b9e-bab2f565ea60
Thompson, James
a0a1e940-d720-47de-81d7-ebcd48738239
Hueppe, Jana F.
e5062ce1-72de-4a12-9025-6676ed7470a4
Johnston, Dave A.
b41163c9-b9d2-425c-af99-2a357204014e
Lackie, Peter M.
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Allan, Raymond N.
390a7d0a-38e1-410a-8dfe-c8ef8408f5e1
Lucas, Jane S.
5cb3546c-87b2-4e59-af48-402076e25313
Horton, Katie L.
0e8b1fe0-65ae-41d2-815e-d8ee76ee9433
Coles, Janice L.
fb9d20aa-93b9-42b3-9b9e-bab2f565ea60
Thompson, James
a0a1e940-d720-47de-81d7-ebcd48738239
Hueppe, Jana F.
e5062ce1-72de-4a12-9025-6676ed7470a4
Johnston, Dave A.
b41163c9-b9d2-425c-af99-2a357204014e
Lackie, Peter M.
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Allan, Raymond N.
390a7d0a-38e1-410a-8dfe-c8ef8408f5e1
Lucas, Jane S.
5cb3546c-87b2-4e59-af48-402076e25313

Horton, Katie L., Coles, Janice L., Thompson, James, Hueppe, Jana F., Johnston, Dave A., Lackie, Peter M., Allan, Raymond N. and Lucas, Jane S. (2019) Characterisation of an ex vivo model of human airway epithelium. European Respiratory Journal, 54 (63), [PA4071]. (doi:10.1183/13993003.congress-2019.PA4071).

Record type: Meeting abstract

Abstract

Introduction: ex vivo airway epithelial cell models provide a biologically representative platform for investigating airway diseases. When cultured at the air-liquid interface (ALI), cells should mimic the physiology of in vivo conditions rendering them invaluable as diagnostic and research tools.

Methods: cells from nasal brush biopsy were expanded in PneumaCult™-Ex Plus Medium (STEMCELL Technologies) for 12 days. Once confluent, the monolayer of basal cells was exposed to an ALI and fed basolaterally with PneumaCult™-ALI Medium. Epithelial tight junction formation was assessed by transepithelial electrical resistance (TEER) and cell layer integrity was measured using fluorescein sodium as a marker of paracellular permeability. Cell morphology was examined by histology, confocal and electron microscopy. Ciliary function was assessed by high speed video analysis and percentage coverage of cilial beating was quantified using a fast Fourier transform algorithm. Supernatants were analysed weekly for cytokine production.

Results: motile cilia were first observed by day 7 at ALI. TEER was maintained for 4 weeks before showing signs of gradual decline. Imaging showed fully differentiated epithelium with tight junctional complexes at 12 weeks post-ALI. Ciliary beat frequency at 3-5 weeks post-ALI (mean 14.18 Hz; SD ±1.84; n=20) was within the physiologically normal range at 37°C. Percentage coverage of cilial beating at 4-7 weeks post-ALI was 41.1% (SD ±14.83; n=6).

Conclusion: we report a biologically relevant model of primary human airway epithelium for the investigation of airway pathophysiology. We are currently using it to diagnose primary ciliary dyskinesia and for experimental research.

This record has no associated files available for download.

More information

e-pub ahead of print date: 21 November 2019

Identifiers

Local EPrints ID: 481552
URI: http://eprints.soton.ac.uk/id/eprint/481552
ISSN: 0903-1936
PURE UUID: a09fb3b5-f912-4338-bd74-a3d75ebac727
ORCID for James Thompson: ORCID iD orcid.org/0000-0002-9285-1317
ORCID for Dave A. Johnston: ORCID iD orcid.org/0000-0001-6703-6014
ORCID for Peter M. Lackie: ORCID iD orcid.org/0000-0001-7138-3764
ORCID for Jane S. Lucas: ORCID iD orcid.org/0000-0001-8701-9975

Catalogue record

Date deposited: 01 Sep 2023 17:00
Last modified: 18 Mar 2024 03:25

Export record

Altmetrics

Contributors

Author: Katie L. Horton
Author: Janice L. Coles
Author: James Thompson ORCID iD
Author: Jana F. Hueppe
Author: Dave A. Johnston ORCID iD
Author: Peter M. Lackie ORCID iD
Author: Raymond N. Allan
Author: Jane S. Lucas ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×