How Fragile We Are: Influence of Stimulator of Interferon Genes (STING) Variants on Pathogen Recognition and Immune Response Efficiency
| Autor: | Giampaolo Barone, Antonio Monari, Tao Jiang, Cécilia Hognon, Elise Dumont, Emmanuelle Bignon, Jeremy Morere, Tom Miclot |
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| Přispěvatelé: | Morere J., Hognon C., Miclot T., Jiang T., Dumont E., Barone G., Monari A., Bignon E., Laboratoire de Physique et Chimie Théoriques (LPCT), Institut de Chimie du CNRS (INC)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Chimie - UMR5182 (LC), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2022 |
| Předmět: |
General Chemical Engineering
Population Library and Information Sciences Biology Proinflammatory cytokine mutation Immune system [CHIM]Chemical Sciences Humans education Pathogen wild-type education.field_of_study Wild type Membrane Proteins General Chemistry STING protein Immunity Innate Computer Science Applications Sting molecular dynamics simulation Settore CHIM/03 - Chimica Generale E Inorganica Stimulator of interferon genes Immunology Interferons Signal transduction |
| Zdroj: | Journal of Chemical Information and Modeling Journal of Chemical Information and Modeling, 2022, 62 (12), pp.3096-3106. ⟨10.1021/acs.jcim.2c00315⟩ |
| ISSN: | 1549-960X 1549-9596 |
| Popis: | The STimulator of INterferon Genes (STING) protein is a cornerstone of the human immune response. Its activation by cGAMP upon the presence of cytosolic DNA stimulates the production of type I interferons and inflammatory cytokines which are crucial for protecting cells from infections. STING signaling pathway can also influence both tumor-suppressive and tumor-promoting mechanisms, rendering it an appealing target for drug design. In the human population, several STING variants exist and exhibit dramatic differences in their activity, impacting the efficiency of the host defense against infections. Understanding the differential molecular mechanisms exhibited by these variants is of utmost importance notably towards personalized medicine treatments against diseases such as viral infections (COVID-19, Dengue…), cancers, or auto-inflammatory diseases. Owing to micro-seconds scale molecular modeling simulations and post-processing by contacts analysis and Machine Learning techniques, we reveal the dynamical behavior of four STING variants (wild type, G230A, R293Q, and G230A-R293Q) and we rationalize the variability of efficiency observed experimentally. Our results show that the decrease of STING activity is linked to a stiffening of key-structural features of the binding cavity, together with changes of the interaction patterns within the protein. |
| Databáze: | OpenAIRE |
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