biostudies-literatureTu XNational Health and Medical Research Council32https://www.ebi.ac.uk/biostudies/studies/S-EPMC9878882biostudies-literatureUnknown24(1)Lung transcriptomics studies in asthma have provided valuable information in the whole lung context, however, deciphering the individual contributions of the airway and parenchyma in disease pathogenesis may expedite the development of novel targeted treatment strategies. In this study, we performed transcriptomics on the airway and parenchyma using a house dust mite (HDM)-induced model of experimental asthma that replicates key features of the human disease. HDM exposure increased the expression of 3,255 genes, of which 212 were uniquely increased in the airways, 856 uniquely increased in the parenchyma, and 2187 commonly increased in both compartments. Further interrogation of these genes using a combination of network and transcription factor enrichment analyses identified several transRespiratory researchAirway and parenchyma transcriptomics in a house dust mite model of experimental asthma.PMC9878882112015211384021175134Brown ACGomez HMFaiz AHansbro PDonovan CBosco AHorvat JCGalvao IKim RYde Jong ETu XfalseAirway and parenchyma transcriptomics in a house dust mite model of experimental asthma.Lung transcriptomics studies in asthma have provided valuable information in the whole lung context, however, deciphering the individual contributions of the airway and parenchyma in disease pathogenesis may expedite the development of novel targeted treatment strategies. In this study, we performed transcriptomics on the airway and parenchyma using a house dust mite (HDM)-induced model of experimental asthma that replicates key features of the human disease. HDM exposure increased the expression of 3,255 genes, of which 212 were uniquely increased in the airways, 856 uniquely increased in the parenchyma, and 2187 commonly increased in both compartments. Further interrogation of these genes using a combination of network and transcription factor enrichment analyses identified several trans2023-01-01T00:00:00Z2023 Jan2025-04-26T01:43:40.842Z2025-02-19T03:00:18.514ZS-EPMC98788823669814110.1186/s12931-022-02298-x