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Characterisation of a primary ciliary dyskinesia model generated from BMI1-transduced basal epithelial cells.

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journal contribution
posted on 2025-11-25, 16:55 authored by Melis T Dalbay, Eriomina Shahaj, Ileana Guerrini, Dani Do Hyang Lee, Anna Straatman-Iwanowska, Hannah M Mitchison, Deborah L Baines, Robert HirstRobert Hirst, Claire Hogg, Christopher O'Callaghan, Stephen L Hart
Primary ciliary dyskinesia (PCD) is a rare genetic respiratory disorder caused by a reduction in cilia number or cilia dysmotility. Cilia dysmotility leads to breathing difficulties, concurrent infections and severe lung damage if not treated, with no therapies currently available. Improved airway epithelial cell models that mimic the disease phenotype are required for development of new therapeutics, as current models have limited potential of self-renewal in vitro. Here, we describe a human PCD cell model created by lentiviral transduction of airway basal epithelial cells with the BMI1 gene, a regulator of senescence. We report that the cells retain their proliferation and differentiation capacity for at least 19 passages and recapitulate the disease phenotype with immotile cilia lacking DNAH5 and other outer dynein arm proteins. Characterisation of the ion transport properties of these PCD cells grown at an air-liquid interface showed lower activity of the Na+ channel ENaC and enhanced CFTR activity compared to non-PCD cells, which might be linked to ciliary immotility. Our study provides a robust PCD model for therapeutic studies, opening new avenues to investigate the molecular mechanisms of this disease.<p></p>

Funding

Newlife – The Charity for Disabled Children

National Institute for Health Research Great Ormond Street Hospital Biomedical Research Centre

University College London

History

Author affiliation

University of Leicester College of Life Sciences Medical Sciences

Version

  • VoR (Version of Record)

Published in

Journal of Cell Science

Volume

138

Issue

20

Pagination

jcs263886

Publisher

The Company of Biologists

issn

0021-9533

eissn

1477-9137

Copyright date

2025

Available date

2025-11-25

Spatial coverage

England

Language

eng

Deposited by

Dr Rob Hirst

Deposit date

2025-11-21