Detection of pathogenic nucleic acids is essential for mammalian innate immunity. IFN-inducible protein IFI16 has emerged as a critical sensor for detecting pathogenic DNA, stimulating both type I IFN and proinflammatory responses. Despite being predominantly nuclear, IFI16 can unexpectedly sense pathogenic DNA in both the cytoplasm and the nucleus. However, the mechanisms regulating its localization and sensing ability remain uncharacterized. Here, we propose a two-signal model for IFI16 sensing. We first identify an evolutionarily conserved multipartite nuclear localization signal (NLS). Next, using FISH and immunopurification, we demonstrate that IFI16 detects HSV-1 DNA primarily in the nucleus, requiring a functional NLS. Furthermore, we establish a localization-dependent IFN-β induction mediated by IFI16 in response to HSV-1 infection or viral DNA transfection. To identify mechanisms regulating the secondary cytoplasmic localization, we explored IFI16 posttranslation modifications. Combinatorial MS analyses identified numerous acetylations and phosphorylations on endogenous IFI16 in lymphocytes, in which we demonstrate an IFI16-mediated IFN-β response. Importantly, the IFI16 NLS was acetylated in lymphocytes, as well as in macrophages. Mutagenesis and nuclear import assays showed that NLS acetylations promote cytoplasmic localization by inhibiting nuclear import. Additionally, broad-spectrum deacetylase inhibition triggered accumulation of cytoplasmic IFI16, and we identify the acetyltransferase p300 as a regulator of IFI16 localization. Collectively, these studies establish acetylation as a molecular toggle of IFI16 distribution, providing a simple and elegant mechanism by which this versatile sensor detects pathogenic DNA in a localization-dependent manner.

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Organisms are constantly exposed to microbial pathogens in their environments. When a pathogen meets its host, a series of intricate intracellular interactions shape the outcome of the infection. The understanding of these host–pathogen interactions is crucial for the development of treatments and preventive measures against infectious diseases. Over the past decade, proteomic approaches have become prime contributors to the discovery and understanding of host–pathogen interactions that represent anti‐ and pro‐pathogenic cellular responses. Here, we review these proteomic methods and their application to studying viral and bacterial intracellular pathogens. We examine approaches for defining spatial and temporal host–pathogen protein interactions upon infection of a host cell. Further expanding the understanding of proteome organization during an infection, we discuss methods that characterize the regulation of host and pathogen proteomes through alterations in protein abundance, localization, and post‐translational modifications. Finally, we highlight bioinformatic tools available for analyzing such proteomic datasets, as well as novel strategies for integrating proteomics with other omic tools, such as genomics, transcriptomics, and metabolomics, to obtain a systems‐level understanding of infectious diseases.