The data set accompanies the study where we developed an inflamed human alveolar epithelium model and to test the resolution lipopolysaccharide (LPS)-induced inflammation in vitro with a corticosteroid, methylprednisolone (MP). A specific focus of the study was in macrophage phenotype shifts in response to these stimuli. The data set includes: - Pro-inflammatory marker (interleukin (IL)-8, tumor necrosis factor α (TNFα), IL1β) secretion data, analysed via ELISA, and cell viability (analysed via lactate dehydrogenase assay) of both monocultures (human monocyte-derived macrophages) and of the multicellular human alveolar model, composed of macrophages, dendritic cells, and epithelial cells. - Barrier permeability data of the multicellular model, assessed via labeled-dextran permeability assay. All the above-stated data is joined in the file: DraslerB_Frontiers 2020_Inflammatory model. Sample codes are explained int he first tabs. - Pro-inflammatory marker gene expression data of the multicellular model, assessed via real time RT-qPCR. The data prepared for analysis and analysed is joined to the above-mentioned folder, whereas the direct PCR runs are joined in the file: DraslerB_Frontiers 2020_Inflammatory model_PCR runs. - Confocal laser scanning microscopy raw files (lsm) of the multicellular model can be opened with an open source software Fiji, based on ImageJ.

Flow cytometry raw data are published at the Flow repository (https://flowrepository.org/) under experimental name: MDMs LPS MP and the identifier FR-FCM-Z2KE.