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Deciphering the Monomeric and Dimeric Conformational Landscapes of the Full-Length TDP-43 and the Impact of the C-Terminal Domain.
- Source :
-
ACS chemical neuroscience [ACS Chem Neurosci] 2024 Dec 04; Vol. 15 (23), pp. 4305-4321. Date of Electronic Publication: 2024 Nov 16. - Publication Year :
- 2024
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Abstract
- The aberrant aggregation of TAR DNA-binding protein 43 kDa (TDP-43) in cells leads to the pathogenesis of multiple fatal neurodegenerative diseases. Decoding the proposed initial transition between its functional dimeric and aggregation-prone monomeric states can potentially design a viable therapeutic strategy, which is presently limited by the lack of structural detail of the full-length TDP-43. To achieve a complete understanding of such a delicate phase space, we employed a multiscale simulation approach that unearths numerous crucial features, broadly summarized in two categories: (1) state-independent features that involve inherent chain collapsibility, rugged polymorphic landscape dictated by the terminal domains, high β-sheet propensity, structural integrity preserved by backbone-based intrachain hydrogen bonds and electrostatic forces, the prominence of the C-terminal domain in the intrachain cross-domain interfaces, and equal participation of hydrophobic and hydrophilic (charged and polar) residues in cross-domain interfaces; and (2) dimerization-modulated characteristics that encompass slower collapsing dynamics, restricted polymorphic landscape, the dominance of side chains in interchain hydrogen bonds, the appearance of the N-terminal domain in the dimer interface, and the prominence of hydrophilic (specifically polar) residues in interchain homo- and cross-domain interfaces. In our work, the ill-known C-terminal domain appears as the most crucial structure-dictating domain, which preferably populates a compact conformation with a high β-sheet propensity in its isolated state stabilized by intrabackbone hydrogen bonds, and these signatures are comparatively faded in its integrated form. Validation of our simulated observables by a complementary spectroscopic approach on multiple counts ensures the robustness of the computationally predicted features of the TDP-43 aggregation landscape.
Details
- Language :
- English
- ISSN :
- 1948-7193
- Volume :
- 15
- Issue :
- 23
- Database :
- MEDLINE
- Journal :
- ACS chemical neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 39548975
- Full Text :
- https://doi.org/10.1021/acschemneuro.4c00557