Biology subjects

Selway-Clarke, H.

Publications and source records attributed to Selway-Clarke, H..

4 recordsLinked to original sources

bioRxiv2026

Multi-omics reveals a monocyte-macrophage-fibroblast axis in post-COVID-19 fibroinflammatory lung remodelling

Post-COVID-19 residual lung abnormalities (RLA) are associated with persistent respiratory symptoms and radiological changes, yet the underlying mechanisms remain unclear. We performed integrated multi-omic profiling of paired bronchoalveolar lavage and blood samples from patients with post-COVID-19 RLA and healthy controls, combining single-cell RNA sequencing, CITE-seq, single-cell T cell receptor sequencing, bronchoalveolar lavage fluid proteomics and functional fibroblast assays. In post-COVID-19 RLA lungs, we identified an increased abundance of profibrotic SPP1hi monocyte-derived alveolar macrophages, arising from an expanded circulating HLA-DRlowCD163+PDE4Dhi classical monocyte progenitor population, supporting a blood-lung myeloid axis. Cell-cell communication modelling positioned macrophages as central hubs of immune-stromal crosstalk, promoting monocyte recruitment with profibrotic priming, and fibroblast activation. Proteomic analysis of bronchoalveolar lavage fluid from post-COVID-19 RLA and idiopathic pulmonary fibrosis, compared with healthy controls, revealed shared and distinct signatures. These alveolar proteins in post-COVID-19 RLA were predominantly attributed to myeloid cells and predicted to engage fibroblast receptors. Bronchoalveolar lavage fluid induced fibroblast proliferation, differentiation and collagen deposition in vitro, with proliferation attenuated by the antifibrotic drug nintedanib. We also identified compartment-specific lymphoid dysregulation, including depletion of mucosal-associated invariant T (MAIT) cells in both the lung and blood, decreased natural killer (NK) cells with oligoclonal T cell expansion in the lung, and expansion of regulatory and cytotoxic T cells in the blood. These findings support a persistent monocyte-macrophage-fibroblast axis linking immune dysregulation to fibroproliferative remodelling after COVID-19 and highlights candidate therapeutic targets for post-viral lung fibrosis. We provide a publicly available atlas (on publication).

systems biology↗

bioRxiv2026

Persistence of tobacco-mutated alveolar progenitor cells after smoking cessation mirrors long term risk of lung adenocarcinoma

Tobacco smoke shapes mutations, selection and clonal expansion in lung epithelial cells. Smoking cessation leads to divergent epidemiology in the two most common lung cancers: squamous cell carcinoma risk declines sharply, while adenocarcinoma risk is preserved. To investigate this discrepancy, we analysed 806 genomes of alveolar type II (AT2) cells and found persistently elevated mutation burdens after cessation. In contrast, in the proximal airway, rare basal stem cells with near-normal mutation burden expand after cessation, protecting against squamous cell carcinoma. Targeted single-molecule DNA sequencing of AT2 cells revealed positive selection for TP53 and cell cycle and MAPK genes, supporting continued cancer risk. A multistage carcinogenesis model emphasised the importance of a small population of hypermutated cells in the alveoli and reproduced the divergent epidemiological trajectories following cessation due to distinct regenerative dynamics. Our findings suggest that differences in mutational burden and clonal regeneration explain post-cessation trends in lung cancer subtypes. One sentence summaryCancer risk reflects not only cumulative exposure to toxins, but the capacity of tissues to erase genomic damage through regeneration from protected cells with clonal advantage.

genomics↗

bioRxiv2025

Podoplanin expression identifies human airway basal cells with higher progenitor cell potential

Basal cells are key to maintaining and repairing a functioning airway epithelium. Understanding how basal cells maintain normal airways provides a foundation for interpreting their dysfunction in disease states and for the development of novel therapies. The airway epithelium exists in a dynamic state in which basal stem cells replace lost luminal mucosecretory and multiciliated cell types via an intermediate suprabasal cell state. The ability to isolate basal cells with high progenitor cell potential would be beneficial in regenerative medicine applications, but the molecular identity of this population is unclear. Here, we evaluate candidate surface markers to isolate human basal cells. As an individual marker, we found that podoplanin (PDPN) had a favorable sensitivity and specificity compared with integrin alpha 6 (ITGA6) or nerve growth factor receptor (NGFR). We found that KRT5-expressing basal cells could be subdivided into those with high or low PDPN expression; KRT5-negative cells did not express PDPN. In vitro, PDPN-high basal cells had higher colony-forming capacity, increased population doubling potential and formed larger colonies than PDPN-low basal cells. PDPN-high basal cells expressed higher levels of TP63, as well as other genes expressed by quiescent or resting basal cells identified in single cell RNA sequencing studies. PDPN-low basal cells expressed genes associated with a differentiating basal cell state, including KRT4, NOTCH3 and serpin B family genes. Our results demonstrate that PDPN expression can identify basal cells with high progenitor cell potential, enabling high efficiency sorting of airway stem cells.

cell biology↗

bioRxiv2025

Recovery of human upper airway epithelium after smoking cessation is driven by a slow-cycling stem cell population and immune surveillance

The upper airway epithelium in humans is maintained in homeostasis by a resident population of basal stem cells. In the presence of tobacco smoke these gain mutations that significantly increase their risk of transformation to lung squamous cell carcinoma. Previous studies show that a small proportion of stem cells avoid the mutational damage caused by carcinogens in tobacco and are more abundant in the lungs of former smokers than ongoing smokers, indicating unexplained tissue-level genomic recovery. This mirrors epidemiological risk, which falls rapidly after quitting smoking. Somatic evolutionary mechanistic hypotheses have been proposed to explain these observations. Here, we present a computational framework to model each of these hypotheses within the upper airway epithelial stem cell population over the entire patient lifetimes of a cohort with diverse smoking histories. Applying a mechanistic learning approach based on a set of biologically informed metrics to single cell-derived whole-genome sequencing data, we identified subtle differences between epithelia modelled under different combinations of hypotheses. A slow-cycling subpopulation of stem cells, combined with suppression of immune predation of highly mutated stem cells while smoking, best matched observed data, a result converged upon by multiple distinct machine learning methodologies. Our findings, drawing on an evolutionary model of mutagen exposure at a whole-lifetime scale that is not feasible to model in vivo, reveal the mechanisms behind reduction in lung squamous cell carcinoma risk on cessation of smoking and inform future therapeutic interventions to prevent lung cancer initiation.

evolutionary biology↗