Periodic Reporting for period 1 - RiboStress (Stress-induced structural and organizational adaptations of the cellular translation machinery)
Período documentado: 2023-01-01 hasta 2025-06-30
The main goal in this project is to dissect from a unique structural angle how such damage avoidance strategies impact on the structure and molecular organization of the translation machinery by directly imaging their effects on ribosome structure, supramolecular organization and distribution in a cellular context with cryo-electron tomography (cryo-ET), an innovative imaging approach unique in its capability to provide highly detailed three-dimensional structural information on macromolecular complexes in their cellular environment. Building on pioneering work in the field of cryo-ET and integrating novel image processing solutions that have recently marked a breakthrough in the field, this project will elucidate at unprecedented resolution how the cellular translation machinery is remodeled after a general heat-shock, during the Endoplasmic Reticulum unfolded protein response and during persistent translational stalling triggering ribosome-associated quality control.
This project will provide detailed structural and mechanistic insights into how cells counteract an imbalance of protein homeostasis - a hallmark of neurodegenerative diseases. Thus, key concepts emerging from our work will likely have direct implications on mechanistic understanding of central pathological principles underlying these diseases.
In project 2, we extend our analysis to cellular stress originating from persistent translational stalling and ribosome collision, and how these events trigger pathways of translational quality control, including ribosome-associated quality control (RQC). In extended cryo-electron tomography datasets of cells experiencing elevated translational stalling, we observed strong effects on polyribosome organization and the formation of structurally defined collided disomes. These data are illuminating which structural features distinguish collided disomes from translationally active polyribosome configurations, enabling their specific recognition by translational quality control pathways.
In the framework of our ERC project, we have also developed and optimized various computational approaches for the analysis of supramolecular ribosome organization in cellular cryo-electron tomography data.