Your browser doesn't support javascript.
loading
Deep mutational scanning of EccD3 reveals the molecular basis of its essentiality in the mycobacterium ESX secretion system.
Trinidad, Donovan D; Macdonald, Christian B; Rosenberg, Oren S; Fraser, James S; Coyote-Maestas, Willow.
Afiliación
  • Trinidad DD; Department of Medicine, University of California, San Francisco.
  • Macdonald CB; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Rosenberg OS; Department of Medicine, University of California, San Francisco.
  • Fraser JS; Chan Zuckerberg Biohub, San Francisco, CA, USA.
  • Coyote-Maestas W; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
bioRxiv ; 2024 Aug 24.
Article en En | MEDLINE | ID: mdl-39229178
ABSTRACT
Tuberculosis remains the deadliest infectious disease in the world and requires novel therapeutic targets. The ESX-3 secretion system, which is essential for iron and zinc homeostasis and thus M. tuberculosis survival, is a promising target. In this study, we perform a deep mutational scan on the ESX-3 core protein EccD3 in the model organism M. smegmatis. We systematically investigated the functional roles of 145 residues across the soluble ubiquitin-like domain, the conformationally distinct flexible linker, and selected transmembrane helices of EccD3. Our data combined with structural comparisons to ESX-5 complexes support a model where EccD3 stabilizes the complex, with the hinge motif within the linker being particularly sensitive to disruption. Our study is the first deep mutational scan in mycobacteria, which could help guide drug development toward novel treatment of tuberculosis. This study underscores the importance of context-specific mutational analyses for discovering essential protein interactions within mycobacterial systems.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article