@article {49191,
	title = {Pathological mutations D169G and P112H electrostatically aggravate the amyloidogenicity of the functional domain of TDP-43},
	journal = {ACS Chemical Neuroscience},
	volume = {15},
	year = {2024},
	month = {NOV},
	pages = {4267-4283},
	type = {Article},
	abstract = {<p>
	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-43tRRM), 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-43tRRM. The mutants D169G and P112H show increased chemical stability compared to the TDP-43tRRM 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-43tRRM 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.</p>
},
	keywords = {amyloid fibrils, conformational changes, disease mutations, electrostatics, Protein aggregation, stability},
	issn = {1948-7193},
	doi = {10.1021/acschemneuro.4c00372},
	author = {Pillai, Meenakshi and Patil, Anjali D. and Das, Atanu and Jha, Santosh Kumar}
}
