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Interactome and Proteome Dynamics Uncover Immune Modulatory Associations of the Pathogen Sensing Factor cGAS.

ABSTRACT: Viral DNA sensing is an essential component of the mammalian innate immune response. Upon binding viral DNA, the cyclic-GMP-AMP synthase (cGAS) catalyzes the production of cyclic dinucleotides to induce type I interferons. However, little is known about how cGAS is homeostatically maintained or regulated upon infection. Here, we define cytoplasmic cGAS interactions with cellular and viral proteins upon herpes simplex virus type 1 (HSV-1) infection in primary human fibroblasts. We compare several HSV-1 strains (wild-type, d109, d106) that induce cytokine responses and apoptosis and place cGAS interactions in the context of temporal proteome alterations using isobaric-labeling mass spectrometry. Follow-up analyses establish a functional interaction between cGAS and 2'-5'-oligoadenylate synthase-like protein OASL. The OAS-like domain interacts with the cGAS Mab21 domain, while the OASL ubiquitin-like domain further inhibits cGAS-mediated interferon response. Our findings explain how cGAS may be inactively maintained in cellular homeostasis, with OASL functioning as a negative feedback loop for cytokine induction.

SUBMITTER: Lum KK

PROVIDER: S-EPMC6310102 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Interactome and Proteome Dynamics Uncover Immune Modulatory Associations of the Pathogen Sensing Factor cGAS.

Lum Krystal K KK Song Bokai B Federspiel Joel D JD Diner Benjamin A BA Howard Timothy T Cristea Ileana M IM

Cell systems 20181121 6

Viral DNA sensing is an essential component of the mammalian innate immune response. Upon binding viral DNA, the cyclic-GMP-AMP synthase (cGAS) catalyzes the production of cyclic dinucleotides to induce type I interferons. However, little is known about how cGAS is homeostatically maintained or regulated upon infection. Here, we define cytoplasmic cGAS interactions with cellular and viral proteins upon herpes simplex virus type 1 (HSV-1) infection in primary human fibroblasts. We compare several ...[more]

PMID: 30471916

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Project description:BackgroundAmphibians are experiencing substantial declines attributed to emerging pathogens. Efforts to understand what drives patterns of pathogen prevalence and differential responses among species are challenging because numerous factors related to the host, pathogen, and their shared environment can influence infection dynamics. Furthermore, sampling across broad taxonomic and geographic scales to evaluate these factors poses logistical challenges, and interpreting the roles of multiple potentially correlated variables is difficult with traditional statistical approaches. In this study, we leverage frozen tissues stored in natural history collections and machine learning techniques to characterize infection dynamics of three generalist pathogens known to cause mortality in frogs.MethodsWe selected 12 widespread and abundant focal taxa within three ecologically distinct, co-distributed host families (Bufonidae, Hylidae, and Ranidae) and sampled them across the eastern two-thirds of the United States of America. We screened and quantified infection loads via quantitative PCR for three major pathogens: the fungal pathogen Batrachochytrium dendrobatidis (Bd), double-stranded viruses in the lineage Ranavirus (Rv), and the alveolate parasite currently referred to as Amphibian Perkinsea (Pr). We then built balanced random forests (RF) models to predict infection status and intensity based on host taxonomy, age, sex, geography, and environmental variables and to assess relative variable importance across pathogens. Lastly, we used one-way analyses to determine directional relationships and significance of identified predictors.ResultsWe found approximately 20% of individuals were infected with at least one pathogen (231 single infections and 25 coinfections). The most prevalent pathogen across all taxonomic groups was Bd (16.9%; 95% CI [14.9-19%]), followed by Rv (4.38%; 95% CI [3.35-5.7%]) and Pr (1.06%; 95% CI [0.618-1.82%]). The highest prevalence and intensity were found in the family Ranidae, which represented 74.3% of all infections, including the majority of Rv infection points, and had significantly higher Bd intensities compared to Bufonidae and Hylidae. Host species and environmental variables related to temperature were key predictors identified in RF models, with differences in importance among pathogens and host families. For Bd and Rv, infected individuals were associated with higher latitudes and cooler, more stable temperatures, while Pr showed trends in the opposite direction. We found no significant differences between sexes, but juvenile frogs had higher Rv prevalence and Bd infection intensity compared to adults. Overall, our study highlights the use of machine learning techniques and a broad sampling strategy for identifying important factors related to infection in multi-host, multi-pathogen systems.

Dataset Information

Interactome and Proteome Dynamics Uncover Immune Modulatory Associations of the Pathogen Sensing Factor cGAS.

Publications

Interactome and Proteome Dynamics Uncover Immune Modulatory Associations of the Pathogen Sensing Factor cGAS.

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