Noh Daeun, Newberry Robert W
bioRxiv. 2025 Aug 30:2025.08.29.672156. doi: 10.1101/2025.08.29.672156.
The misfolding and aggregation of α-synuclein is a central molecular event in the etiology of Parkinson's disease and related disorders. α-Synuclein misfolding and pathology are both concentration-dependent, but it is not clear precisely how changes in concentration alter the folding landscape within cells. Whereas most conventional structural biology approaches offer limited resolution in living systems, deep mutational scanning can offer insight into the folding state of a protein in living cells, and we apply this method to probe concentration-dependent changes in the folding of α-synuclein in a popular yeast model of pathology. We discover that at a wide range of cellular concentrations, α-synuclein is highly biased toward formation of a membrane-bound amphiphilic helix that imparts toxicity. Population of this toxic state can be disrupted by mutations that reduce membrane affinity, which shift the folding equilibrium away from the membrane-bound state. Reduced-affinity variants exhibit distinct sensitivity to concentration relative to variants with WT-like affinity, likely because these variants are expressed at concentrations closer to their dissociation constant for membrane binding. These results show how mutational scanning can provide high-resolution insights into the folding landscape of proteins in living cells, which is likely to be of special utility for studying proteins that misfolding and/or aggregate.
Protein misfolding is often concentration-dependent, but studying concentration-dependent changes in folding in living cells is challenging. By using high-throughput mutagenesis, we reveal changes in the population of toxic conformations of the Parkinson's-associated protein α-synuclein. We discover that in a yeast model of pathology, α-synuclein is highly biased toward membrane binding, which in turn disrupts cellular homeostasis.
α-突触核蛋白的错误折叠和聚集是帕金森病及相关疾病病因中的核心分子事件。α-突触核蛋白的错误折叠和病理学都与浓度有关,但浓度变化如何确切改变细胞内的折叠态势尚不清楚。尽管大多数传统结构生物学方法在活细胞系统中的分辨率有限,但深度突变扫描可以深入了解活细胞中蛋白质的折叠状态,我们应用此方法在一个常用的病理学酵母模型中探究α-突触核蛋白折叠的浓度依赖性变化。我们发现,在广泛的细胞浓度范围内,α-突触核蛋白极倾向于形成具有毒性的膜结合两亲性螺旋。降低膜亲和力的突变可破坏这种毒性状态的形成,这些突变会使折叠平衡从膜结合状态转变。与具有野生型样亲和力的变体相比,低亲和力变体对浓度表现出不同的敏感性,可能是因为这些变体的表达浓度更接近其与膜结合的解离常数。这些结果表明突变扫描如何能够为活细胞中蛋白质的折叠态势提供高分辨率的见解,这对于研究错误折叠和/或聚集的蛋白质可能具有特殊用途。
蛋白质错误折叠通常与浓度有关,但研究活细胞中折叠的浓度依赖性变化具有挑战性。通过高通量诱变,我们揭示了帕金森病相关蛋白α-突触核蛋白毒性构象群体的变化。我们发现在一个病理学酵母模型中,α-突触核蛋白极倾向于膜结合,进而破坏细胞内稳态。