Transcriptomic Analysis of Mycobacterial Infected Macrophages Reveals a High MOI Specific Type I IFN Signaling

Author:

Ding Yue1,Bei Cheng1,Xue Qinghua2,Niu Liangfei2,Tong Jingfeng1,Chen Yiwang1,Takiff Howard E.3ORCID,Gao Qian1ORCID,Yan Bo2ORCID

Affiliation:

1. Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China

2. Center for Tuberculosis Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China

3. Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela

Abstract

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.

Funder

MOST | National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

the Shanghai “Science and Technology Innovation Action Plan” Medical Innovation Research Special Project

Shanghai Public Health Clinical Center Intramural Research Funding

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Immunology,Microbiology,Parasitology

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