Summary
Self-assembly is a fundamental foundation of life, but what about co-assembly? The main goal of BiFOLDOME is to decipher co-assembly to understand self-assembly. Amyloids were assumed to be assembled by one type of protein, but our recent elucidation of the first 1:1 hetero-amyloid structure (the RIPK1-RIPK3 necrosome core) suggests that amyloids composed of two distinct proteins playing key roles in health and disease may be common. In fact, a viral protein (M45) can displace one partner (RIPK1) to form a distinct 1:1 hetero-amyloid (M45-RIPK3). Taking a leaf from the viral playbook, this means that for a given self-assembling sequence there may be a mating sequence driving the preferential 1:1 co-assembly of the two. Thus, understanding what drives the preferential formation of co-assembled forms over conventional self-assembled species will afford an entirely new vision on assembly processes transversal to all fields of knowledge. BiFOLDOME is organized around three different levels of complexity: (1) characterizing the formation, structure and energetics of representative paradigms of 1:1 co-assembled amyloids using solution and solid-state NMR spectroscopies, and energy calculations, featuring novel technical innovations that we will develop. This will provide the basis for self-assembly by delivering a firm understanding of co-assembly. (2) Applying the fundamental knowledge from (1) to the manipulation of self-assembled, disease-associated proteins using the powerful concept of 1:1 co-assembly. (3) Going beyond the state of the art by developing a new methodology to study the assembly of biomolecular condensates. The approach, which I call “optoNMR”, will enable controlled, light-triggered self- and co-assembly of proteins within the NMR tube, opening new avenues to discern between alternative hypotheses for condensate formation and hardening in real-time and at high resolution, or for sensitive detection using hyperpolarization schemes.
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| Web resources: | https://cordis.europa.eu/project/id/101042403 |
| Start date: | 01-11-2022 |
| End date: | 31-10-2027 |
| Total budget - Public funding: | 1 496 823,00 Euro - 1 496 823,00 Euro |
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Original description
Self-assembly is a fundamental foundation of life, but what about co-assembly? The main goal of BiFOLDOME is to decipher co-assembly to understand self-assembly. Amyloids were assumed to be assembled by one type of protein, but our recent elucidation of the first 1:1 hetero-amyloid structure (the RIPK1-RIPK3 necrosome core) suggests that amyloids composed of two distinct proteins playing key roles in health and disease may be common. In fact, a viral protein (M45) can displace one partner (RIPK1) to form a distinct 1:1 hetero-amyloid (M45-RIPK3). Taking a leaf from the viral playbook, this means that for a given self-assembling sequence there may be a mating sequence driving the preferential 1:1 co-assembly of the two. Thus, understanding what drives the preferential formation of co-assembled forms over conventional self-assembled species will afford an entirely new vision on assembly processes transversal to all fields of knowledge. BiFOLDOME is organized around three different levels of complexity: (1) characterizing the formation, structure and energetics of representative paradigms of 1:1 co-assembled amyloids using solution and solid-state NMR spectroscopies, and energy calculations, featuring novel technical innovations that we will develop. This will provide the basis for self-assembly by delivering a firm understanding of co-assembly. (2) Applying the fundamental knowledge from (1) to the manipulation of self-assembled, disease-associated proteins using the powerful concept of 1:1 co-assembly. (3) Going beyond the state of the art by developing a new methodology to study the assembly of biomolecular condensates. The approach, which I call “optoNMR”, will enable controlled, light-triggered self- and co-assembly of proteins within the NMR tube, opening new avenues to discern between alternative hypotheses for condensate formation and hardening in real-time and at high resolution, or for sensitive detection using hyperpolarization schemes.Status
SIGNEDCall topic
ERC-2021-STGUpdate Date
09-02-2023
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