Abstract

Dendritic cells (DCs) play a pivotal role in shaping immune responses in the human lung; however, the subset-specific transcriptional programs that underpin their steady-state and stimulus-driven functions remain incompletely defined. In this validation-oriented, integrative in silico study, we analyzed microarray data from dataset GSE43184 to profile immune-gene expression in the two principal human lung DC subsets, BDCA1⁺ (cDC2) and BDCA3⁺ (cDC1) cells. Rather than serving as a standalone discovery resource, GSE43184 was used illustratively to validate and synthesize existing knowledge of DC subset divergence. Analysis of baseline expression revealed that BDCA1⁺ DCs exhibit markedly higher levels of pro-inflammatory cytokines and chemokines—including IL1B, CXCL8, CCL5, and TNF—whereas BDCA3⁺ DCs displayed lower overall expression but relatively higher levels of interferon-stimulated genes (ISGs) such as ISG15 and IFIT1. Principal-component analysis and hierarchical clustering further confirmed the distinct transcriptional identities of the two subsets. Targeted functional enrichment of genes up-regulated in BDCA1⁺ cells indicated predominant activation of inflammatory and cytokine-signalling pathways. Comparative validation with public single-cell RNA-seq datasets and prior studies employing viral stimuli (e.g., RSV, poly I:C) revealed concordant subset-specific responses: BDCA1⁺ DCs are inflammation-prone, whereas BDCA3⁺ DCs initiate ISG-dominated antiviral programmes. A conceptual summary and curated literature synthesis reinforced these functional distinctions. Collectively, this study provides a synthesis-driven validation analysis that illustrates the functional divergence between BDCA1⁺ and BDCA3⁺ dendritic cells, rather than a de novo gene-discovery effort. Our findings support the view that BDCA1⁺ and BDCA3⁺ DCs are intrinsically programmed for distinct immunological roles within the lung microenvironment and respond differentially to viral cues.