Multiplexed transcriptional profiling to Dermatophagoides House Dust Mites allergens in human epithelium cells
Allergic asthma, a chronic disease-causing inflammation in the airways, is a significant public health concern. Our research team discovered that more than 80% of allergic children in central Taiwan were sensitized to various house dust mites (HDMs). This investigation focuses on how the crude extracts of HDMs affect human epithelium BEAS-2B cells to understand the early fundamental mechanisms for preventing allergic diseases. Therefore, RNA-seq analysis revealed that three Dermatophagoides HDMs allergens activate a common Toll-like receptor signaling pathway in human epithelial cells within a 4-hour treatment. During this process, the nuclear transcription factor NF-?B translocated into the cell nucleus within 30 minutes of allergen stimulation, triggering the expression of pro-inflammatory genes such as IL-6 and IL-8 over 4 hours. Additionally, treating the cells with specific Dermatophagoides microceras (Der m) allergens, there was an upregulation of genes in regulating type 1 diabetes mellitus signaling pathways, mediating IL-12A inflammation. Moreover, an increase in gene sets related to cilia function and the microtubule cytoskeleton in human epithelial cells following treatment combined with Der m allergens and Dexamethasone. Furthermore, OMICs analysis investigates the effects of HDMs allergenic stimulation on the human epidermal cells. This process aims to enhance our understanding of the cellular molecular mechanisms underlying potential targets and bioactive substances in precision medicine for treating asthma caused by HDMs allergens. Overall design: To investigate the fundamental mechanism underlying the impact of crude extracts from HDMs on BEAS-2B cells, we treated the cells with specific Dermatophagoides HDMs allaergens. We subsequently conducted gene expression profiling analysis by utilizing RNA-seq data obtained from the cells at two time points, 4hr and 24hr post-stimluation. Eventually, comparative gene expression profiling analysis of RNA-seq data for BEAS-2 was perfomed.