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Well-differentiated airway epithelial cultures are commonly used to study airway stem cell lineages, ion and fluid transport, respiratory virus infection and replication, and disease mechanisms in vitro. This culture model involves the isolation and expansion of airway stem cells followed by their differentiation at an air–liquid interface (ALI), a process that has been previously documented in humans and mice. Domestic ferrets (Mustela putorius furo) have gained considerable importance in respiratory disease research due to their notable susceptibility to these conditions and their anatomical similarities to humans. Here, we present a comprehensive description of the isolation and culture of stem/progenitor cells from the ferret airway, along with a protocol for their differentiation at the ALI. Our findings have demonstrated that this ferret culture system not only supports the differentiation of the predominant airway epithelial cell types but also facilitates the generation of rare airway epithelial subpopulations, including pulmonary ionocytes, tuft cells, and pulmonary neuroendocrine cells. Additionally, we provide a detailed procedure for measuring transepithelial ion transport relevant to airway diseases, particularly cystic fibrosis. The ability to isolate and culture ferret airway stem cells, combined with ALI differentiation and functional assessment of transepithelial ion transport, offers a powerful platform for evaluating genetic and pharmacologic interventions related to cystic fibrosis. Key features • A protocol for isolating ferret airway basal cells and generating air–liquid interface (ALI) cultures for electrophysiologic research.• Detailed procedures for propagating ferret airway basal cells and culturing in vitro well-differentiated airway epithelium.• A protocol for measuring ion transport, conductance, and immunofluorescence to identify airway cell types.

Pseudomonas aeruginosa is a Gram-negative bacterium that is notorious for airway infections in cystic fibrosis (CF) subjects. Bacterial quorum sensing (QS) coordinates virulence factor expression and biofilm formation at population level. Better understanding of QS in the bacterium-host interaction is required. Here, we set up a new P. aeruginosa infection model, using 2D upper airway nasal organoids that were derived from 3D organoids. Using dual RNA-sequencing, we dissected the interaction between organoid epithelial cells and WT or QS-mutant P. aeruginosa strains. Since only a single healthy individual and a single CF subject were used as donors for the organoids, conclusions about CF-specific effects could not be deduced. However, P. aeruginosa induced epithelial inflammation, whereas QS signaling did not affect the epithelial airway cells. Conversely, the epithelium influenced infection-related processes of P. aeruginosa , including QS-mediated regulation. Comparison of our model with samples from the airways of CF subjects indicated that our model recapitulates important aspects of infection in vivo. Hence, the 2D airway organoid infection model is relevant and may help to reduce the future burden of P. aeruginosa infections in CF. The online version contains supplementary material available at 10.1038/s41598-024-82500-w.

Breast cancer is the most frequently diagnosed cancer worldwide, constituting 15% of cases in 2023. The predominant cause of breast cancer-related mortality is metastasis, and a lack of metastasis-targeted therapies perpetuates dismal outcomes for late-stage patients. By using meiotic genetics to study inherited transcriptional network regulation, we have identified, to the best of our knowledge, a new class of “essential expression-restricted” genes as potential candidates for metastasis-targeted therapeutics. Building upon previous work implicating the CCR4-NOT RNA deadenylase complex in metastasis, we demonstrate that RNA-binding proteins NANOS1, PUM2, and CPSF4 also regulate metastatic potential. Using various models and clinical data, we pinpoint Smarcd1 mRNA as a target of all three RNA-BPs. Strikingly, both high and low expression of Smarcd1 correlate with positive clinical outcomes, while intermediate expression significantly reduces the probability of survival. Applying the theory of “essential genes” from evolution, we identify 50 additional genes that require precise expression levels for metastasis to occur. Specifically, small perturbations in Smarcd1 expression significantly reduce metastasis in mouse models and alter splicing programs relevant to the ER+/HER2-enriched breast cancer. Identification subtype-specific essential expression-restricted metastasis modifiers introduces a novel class of genes that, when therapeutically “nudged” in either direction, may significantly improve late-stage breast cancer patients. Subject terms: Metastasis, Cancer genetics, Breast cancer