Back

Unfold to refold: Tracking the initial steps of PrPC unfolding in the context of PrPSc propagation

Sabzehei, S.; Rigoli, M.; Cacheiro, R.; Diaz-Arias, I.; Erana, H.; Lago, R. P.; Guerra, A.; Rezaei, H.; Castilla, J.; Biasini, E.; Sanchez-Pedregal, V. M.; Martin-Pastor, M.; Requenaa, J. R.

2025-10-12 biochemistry
10.1101/2025.10.11.681810 bioRxiv
Show abstract

It might have been believed that elucidation of the atomistic structure of PrPSc would lead to an immediate understanding of the mechanism of prion propagation. However, PrPSc, now known to be a "simple" amyloid, can just template a previously unfolded polypeptide chain. Therefore, PrPSc can easily template the disordered [~]90-120 domain of an incoming PrPC molecule, but not its [~]121-231 folded domain (FD). The FD needs to accommodate into the [~]121-230 PrPSc surface, an inert "procrustean bed". Thus, a mechanism for concerted unfolding/refolding of the FD must exist, with FD unfolding as a key element. To explore how this might happen, we performed thermal unfolding of recombinant bank vole PrPC(90-231), that is a universal PrPSc propagator PrPSc, tracking changes at the residue level with solution NMR to pinpoint early unfolding propensity. Our data suggest that a key early event is the destabilization of the short {beta}1-{beta}2 assembly, and that the segment contiguous to the disordered tail, [~]121-140, encompassing {beta}1 and its adjacent coils, is the most likely region to unfold first. Spectroscopic data obtained at higher temperatures suggest that portions of alpha helix 2 are likely the last elements of the FD to unfold and refold into the PrPSc conformation. Molecular Dynamics simulations assisted the interpretation of these changes and suggest separation of 1 from the rest of the FD ensemble. Our data provide a conceivable timeline of the early events in PrPSc-assisted conversion of PrPC and should serve as a starting framework to develop a future atomistic model of PrPSc propagation.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.