PLoS PathogensNeurosciencePeer-reviewed journal article
The Molecular Determinants of a Universal Prion Acceptor
Hamza ArshadiD, Zeel PateliD, Zaid A.M. Al‐AzzawiiD, Leyao Li, Genki Amano, Surabhi MehraiD, Shehab EidiD, Gerold Schmitt‐UlmsiD, Joel C. WattsiD
Abstract
In prion diseases, the species barrier limits the transmission of prions from one species to another. However, cross-species prion transmission is remarkably efficient in bank voles, and this phenomenon can be recapitulated in mice by expression of the bank vole prion protein (BVPrP). The molecular determinants of BVPrPs ability to function as a universal or near-universal acceptor for prions remain incompletely defined. Building on our finding that cultured cells expressing BVPrP can replicate both mouse and hamster prion strains, we conducted a systematic analysis to identify key residues in BVPrP that permit cross-species prion replication. Consistent with previous findings, we demonstrate that residues N155 and N170 of BVPrP, which are absent in mouse PrP but present in hamster PrP, are critical for cross-species prion replication. Additionally, BVPrP residues V112, I139, and M205, which are absent in hamster PrP but present in mouse PrP, are also required to enable replication of both mouse and hamster prions. Unexpectedly, we found that residues E227 and S230 near the C-terminus of BVPrP severely restrict the accumulation of prions following cross-species prion challenge, suggesting that they may have evolved to counteract the inherent propensity of BVPrP to misfold. PrP variants with an enhanced ability to replicate both mouse and hamster prions displayed accelerated spontaneous aggregation kinetics in vitro. These findings suggest that BVPrPs unusual properties are governed by a key set of amino acids and that the enhanced misfolding propensity of BVPrP may enable cross-species prion replication.
- organism: mouse
- organism: rat
- organism: zebrafish
- assay: protein sequence
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: protein structure prediction
- approach: statistical model
- Citations
- 10
- FWCI
- 1.36
- Field percentile
- top 20%
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