biostudies-literatureDing YShanghai Municipal Science and Technology Major ProjectShanghai Public Health Clinical Center Intramural Research Fundingthe Shanghai “Science and Technology Innovation Action Plan” Medical Innovation Research Special ProjectMOST | National Natural Science Foundation of Chinae0015523https://www.ebi.ac.uk/biostudies/studies/S-EPMC10353393biostudies-literatureUnknown91(7)Macrophage (MΦ) infection models are important tools for studying host-mycobacterial interactions. Although the multiplicity of infection (MOI) is an important experimental variable, the selection of MOI in mycobacterial infection experiments is largely empirical, without reference to solid experimental data. To provide relevant data, we used RNA-seq to analyze the gene expression profiles of MΦs 4 or 24 h after infection with Mycobacterium marinum (<i>M. m</i>) at MOIs ranging from 0.1 to 50. Analysis of differentially expressed genes (DEGs) showed that different MOIs are linked to distinct transcriptomic changes and only 10% of DEGs were shared by MΦ infected at all MOIs. KEGG pathway enrichment analysis revealed that type I interferon (IFN)-related pathways were inoculant dose-dependentInfection and immunityTranscriptomic Analysis of Mycobacterial Infected Macrophages Reveals a High MOI Specific Type I IFN Signaling.PMC1035339322Y119205008227237681801977KY-GW-2022-01ZD2021CY001Gao QDing YXue QBei CTong JTakiff HENiu LChen YYan BfalseTranscriptomic Analysis of Mycobacterial Infected Macrophages Reveals a High MOI Specific Type I IFN Signaling.Macrophage (MΦ) infection models are important tools for studying host-mycobacterial interactions. Although the multiplicity of infection (MOI) is an important experimental variable, the selection of MOI in mycobacterial infection experiments is largely empirical, without reference to solid experimental data. To provide relevant data, we used RNA-seq to analyze the gene expression profiles of MΦs 4 or 24 h after infection with Mycobacterium marinum (<i>M. m</i>) at MOIs ranging from 0.1 to 50. Analysis of differentially expressed genes (DEGs) showed that different MOIs are linked to distinct transcriptomic changes and only 10% of DEGs were shared by MΦ infected at all MOIs. KEGG pathway enrichment analysis revealed that type I interferon (IFN)-related pathways were inoculant dose-dependent2023-01-01T00:00:00Z2023 Jul2026-06-11T06:38:38.43Z2025-04-06T02:57:39.164ZS-EPMC103533933733836510.1128/iai.00155-23