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Vitamin D and Lipopolysaccharide jointly induce a distinct epigenetic and transcriptional program in Human Monocytes [RNA-Seq]

GSE293966 Homo sapiens Expression profiling by high throughput sequencing 28 samples 2025/06/13 GPL18573
Summary
Pathogen-associated molecular patterns such as lipopolysaccharide (LPS) mimic immune responses triggered by bacterial infections. The hormonally active form of vitamin D, 1α,25-dihydroxyvitamin D₃ [1,25(OH)₂D₃], supports innate immunity, but its molecular mechanisms remain incompletely understood. Here, we investigated epigenomic and transcriptomic changes in THP-1 monocytes exposed to 1,25(OH)₂D₃, LPS, or their combination over 24–48 hours. Epigenome profiling via ATAC-seq revealed that co-stimulation with 1,25(OH)₂D₃ and LPS induces substantially more chromatin accessibility changes than either treatment alone, with up to 81% of altered regions uniquely responsive to the combination. Motif enrichment analysis highlighted JUN/FOS transcription factors as key regulators of this synergistic response. Transcriptomic analysis via RNA-seq mirrored these findings, though fewer genes than chromatin regions were affected. Notably, under 1,25(OH)₂D₃-primed conditions, 333 genes exhibited synergistic expression changes upon co-treatment, meaning their responses significantly deviates from the additive effects of the individual stimulations. This includes 267 previously unrecognized as vitamin D targets. Functional annotation revealed these genes are primarily linked to monocyte and T cell differentiation, in contrast to classical vitamin D targets associated with inflammation. In conclusion, our findings uncover a distinct and cooperative regulatory program driven by vitamin D and LPS, advancing our understanding of how vitamin D shapes immune responses at the chromatin and transcriptional levels.
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NCBI GEO page ↗ Paper (PMID 40721933) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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