Pillai Meenakshi, Patil Anjali D, Das Atanu, Jha Santosh Kumar
Physical and Materials Chemistry Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
ACS Chem Neurosci. 2024 Dec 4;15(23):4267-4283. doi: 10.1021/acschemneuro.4c00372. Epub 2024 Nov 18.
Aggregation of TDP-43 is linked to the pathogenesis of many neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Notably, electrostatic point mutations such as D169G and P112H, located within the highly conserved functional tandem RNA recognition motif (RRM) domains of the TDP-43 protein (TDP-43), have been identified in diseased patients as well. In this study, we address how the electrostatic mutations alter both the native state stability and aggregation propensity of TDP-43. The mutants D169G and P112H show increased chemical stability compared to the TDP-43 at physiological pH. However, at low pH, both the mutants undergo a conformational change to form amyloid-like fibrils, though with variable rates─the P112H mutant being substantially faster than the other two sequences (TDP-43 and D169G mutant) showing comparable rates. Moreover, among the three sequences, only the P112H mutant undergoes a strong ionic strength-dependent aggregability trend. These observations signify the substantial contribution of the excess charge of the P112H mutant to its unique aggregation process. Complementary simulated observables with atomistic resolution assign the experimentally observed sequence-, pH-, and ionic strength-dependent aggregability pattern to the degree of thermal lability of the mutation site-containing RRM1 domain and its extent of dynamical anticorrelation with the RRM2 domain whose combination eventually dictate the extent of generation of aggregation-prone partially unfolded conformational ensembles. Our choice of a specific charge-modulated pathogenic mutation-based experiment-simulation-combination approach unravels the otherwise hidden residue-wise contribution to the individual steps of this extremely complicated multistep aggregation process.
TDP-43的聚集与许多神经退行性疾病的发病机制有关,包括肌萎缩侧索硬化症(ALS)。值得注意的是,在患病患者中也发现了位于TDP-43蛋白(TDP-43)高度保守的功能性串联RNA识别基序(RRM)结构域内的静电点突变,如D169G和P112H。在本研究中,我们探讨了静电突变如何改变TDP-43的天然状态稳定性和聚集倾向。与生理pH值下的TDP-43相比,突变体D169G和P112H表现出更高的化学稳定性。然而,在低pH值下,这两种突变体都会发生构象变化,形成淀粉样纤维,尽管速率不同——P112H突变体比其他两个序列(TDP-43和D169G突变体)快得多,而后两者速率相近。此外,在这三个序列中,只有P112H突变体表现出强烈的离子强度依赖性聚集趋势。这些观察结果表明,P112H突变体的过量电荷对其独特的聚集过程有重大贡献。具有原子分辨率的互补模拟可观测量将实验观察到的序列、pH值和离子强度依赖性聚集模式归因于含突变位点的RRM1结构域的热不稳定程度及其与RRM2结构域的动态反相关程度,这两者的结合最终决定了易聚集的部分未折叠构象集合的生成程度。我们选择基于特定电荷调节的致病性突变的实验-模拟组合方法,揭示了在这个极其复杂的多步聚集过程的各个步骤中,原本隐藏的残基贡献。