To identify the differentially expressed genes encoding promising inflammatory cytokines in murine lungs in the context of acute lung injury (ALI). Through searching the Gene Expression Omnibus (GEO) databases, three GEO datasets were identified based on the LPS induced animal model within 24hr, differentially expressed genes (DEGs) were extracted and analyzed with R studio, the properties of those DEGs were further analyzed by Protein-Protein-Interaction (PPI), Cytoscape, GO and KEGG bioinformatics techniques as well. The potential hub genes in inflammatory related cluster were retrieved and examined furthermore by basal experiments. By searching, GSE1871, GSE104214, and GSE130936 were screened with a priority of animal model formed in less than 24hr. With a criterion of |log2 fold change (FC)| ≥ 2 and an adjusted P-value < 0.01, 923 DEGs were found altogether in three datasets, eventually 87 overlapped genes were achieved commonly. Most of those DEGs come from anchored component of basal membrane and modulate the cytokine-receptors activity, participating in the regulation of responses to cellular stimuli or cytokine-mediated signaling pathways. Through bioinformatics techniques, 2 clusters were separated by K- means algorithm in 87 DEGs, 20 ranked hub genes were finally concluded. The GO and KEEG enrichment analysis of these 20 genes were highly consistent with previous results except that these hub genes are involved in both virus-related and LPS-related biological processes. For LPS induced in vivo experiment, 7 out of 20 genes exhibited mRNA overexpression under cytokine-cytokine receptors interaction pathway, having a more probability to function in inflammation-related cytokine signaling judging from the predicted transcription factor. Altogether, these findings find out some potential DEGs involved in virus and inflammation related biological process, identified 7 potential hub genes could be the therapeutic target on the cytokine-receptor interaction pathway ground in LPS induced ALI.