FB2026_02 , released June 18, 2026
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Citation
Katheder, N.S., Browder, K.C., Chang, D., De Maziere, A., Kujala, P., van Dijk, S., Klumperman, J., Lu, T.C., Li, H., Lai, Z., Sangaraju, D., Jasper, H. (2023). Nicotinic acetylcholine receptor signaling maintains epithelial barrier integrity.  eLife 12(): e86381.
FlyBase ID
FBrf0258418
Publication Type
Research paper
Abstract
Disruption of epithelial barriers is a common disease manifestation in chronic degenerative diseases of the airways, lung, and intestine. Extensive human genetic studies have identified risk loci in such diseases, including in chronic obstructive pulmonary disease (COPD) and inflammatory bowel diseases. The genes associated with these loci have not fully been determined, and functional characterization of such genes requires extensive studies in model organisms. Here, we report the results of a screen in Drosophila melanogaster that allowed for rapid identification, validation, and prioritization of COPD risk genes that were selected based on risk loci identified in human genome-wide association studies (GWAS). Using intestinal barrier dysfunction in flies as a readout, our results validate the impact of candidate gene perturbations on epithelial barrier function in 56% of the cases, resulting in a prioritized target gene list. We further report the functional characterization in flies of one family of these genes, encoding for nicotinic acetylcholine receptor (nAchR) subunits. We find that nAchR signaling in enterocytes of the fly gut promotes epithelial barrier function and epithelial homeostasis by regulating the production of the peritrophic matrix. Our findings identify COPD-associated genes critical for epithelial barrier maintenance, and provide insight into the role of epithelial nAchR signaling for homeostasis.
PubMed ID
PubMed Central ID
PMC10764009 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference
    Aberrations (1)
    Alleles (42)
    Chemicals (1)
    Genes (12)
    Human Disease Models (1)
    Natural transposons (1)
    Insertions (14)
    Experimental Tools (2)
    Transgenic Constructs (29)