The Mattei team develops methods and software supporting high-throughput and fully automated pipelines to tackle the current challenges in cryo-EM sample preparation and screening.
Previous and current research
The functional and mechanistic understanding of biological macromolecular complexes requires methods to investigate their molecular composition, arrangement, and conformational landscape in a close-to-native condition. Cryo-electron microscopy (cryo-EM) is now a powerful tool for studying the structure of biological specimens by imaging the macromolecules of interest vitrified within biochemically functional buffers. However, many macromolecules prove to be difficult to prepare in the form of cryo-EM specimens and further improvement to obtain cryo-grids of sufficient quality for high-resolution analysis often requires the careful optimisation of a wide range of variables. Therefore, the current challenges and limitations of this method are linked both to the intrinsic nature of the macromolecular complexes that we want to analyse and to the currently available instruments and workflows.
Our team will develop high-throughput and fully automated pipelines to enable large-scale cryo-EM sample preparation and screening. This multidisciplinary project will integrate the work of engineers, software developers, image analysists, and molecular biologists developing new approaches to address some of the major rate-limiting steps that currently affect the throughput and the success rate of cryo-EM projects. Our pipeline will integrate specimen handling, sparse-matrix screening, and biochemical characterisation workflows to explore sample stability within a wide range of buffer conditions. The produced screening conditions will be applied to a range of cryo-EM supports by newly developed vitrification devices able to provide controlled and efficient preparation of cryo-grids. We will integrate the existing imaging routines with new software applications to establish a fully automated pipeline that will cover all the imaging steps required for large-scale cryo-EM sample screening. Our pipeline will rely on minimal operator dependency and will provide full tracking of the samples throughout the entire process. We will establish a dedicated data management system implemented with a secure web interface for project planning and real-time remote inspection of the results.
Future projects and goals
- Development of hardware and software for fully automated high-throughput cryo-EM sample preparation and screening workflows.
- Optimisation of the reproducibility and robustness of the methods for in situ cellular tomography, combined with the development of machine learning approaches for intelligent targeting of the sample of interest.
- Development and optimisation of cryogenic correlative light and electron microscopy (cryo-CLEM) methods to advance our ability to correlate the temporal and compositional information of super-resolution fluorescence microscopy with the high-resolution structural information of cryo-EM within the cellular context.