journal article·2025-11Open access

Dissecting the Molecular Determinants of α‐synuclein Phase Separation and Condensate Aging: The Pivotal Role of β‐Sheet‐Rich Motifs

Yiming Tang, Jitao Wen, Zhongyuan Yang, Yifei Yao, Shaoshuai He, Jiyuan Zeng, Xuewei Dong, Qin Qiao, Yun Zhou, Sarah Perrett, Si Wu, Guanghong Wei

Advanced Science· Volume 12· Issue 44

Abstract

Abstract Emerging evidence indicates that liquid‐liquid phase separation of α‐synuclein occurs during the nucleation step of its aggregation, a pivotal step in the onset of Parkinson's disease. Elucidating the molecular determinants governing this process is essential for understanding the pathological mechanisms of diseases and developing therapeutic strategies that target early‐stage aggregation. While previous studies have identified residues critical for α‐synuclein amyloid formation, the key residues and molecular drivers of its phase separation remain largely unexplored. Herein, multiscale simulations and experimental approaches are employed to uncover the molecular determinants dictating α‐synuclein phase separation and the pre‐solidification of its condensates. Seven motifs are identified that exhibit high β‐sheet propensity in the monomeric state of α‐synuclein and progressively increase in β‐sheet content during condensation. Notably, two C‐terminal motifs engage in a percolated network of intermolecular interactions through transient hydrogen bonds, contributing to the phase boundary properties. Deletion of these motifs reduces the phase separation ability of α‐synuclein, underscoring their essential roles in this process. Together, the findings reveal crucial phase separation hotspots and shed light on the molecular mechanism underlying α‐synuclein phase separation, offering significant insights and novel potential therapeutic targets for Parkinson's disease.
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Research context

OpenAlex topics: Parkinson's Disease Mechanisms and Treatments · biodegradable polymer synthesis and properties · RNA regulation and disease

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics State Key Laboratory of Surface Physics and Key Laboratory for Computational Physical Science (Ministry of Education) Fudan University 2005 Songhu Road, Yangpu District Shanghai 200433 China

Key Laboratory of Biomacromolecules CAS Center for Excellence in Biomacromolecules Institute of Biophysics Chinese Academy of Sciences 15 Datun Road, Chaoyang District Beijing 100101 China

University of the Chinese Academy of Sciences 19A Yuquan Road, Shijingshan District Beijing 100049 China

Center for Soft Condensed Matter Physics and Interdisciplinary Research & School of Physical Science and Technology Soochow University 333 Ganjiang Road, Gusu District Suzhou 215006 China

Digital Medical Research Center School of Basic Medical Sciences Fudan University 130 Dongan Road, Xuhui District Shanghai 200032 China

Yusuf Hamied Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW UK

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Natural Science Foundation of Shanghai Municipality · China Postdoctoral Science Foundation · Natural Science Foundation of Beijing Municipality

References (100+)

Show source-provided references
1. 10.1016/j.cell.2016.07.00810.1016/j.cell.2016.07.008 ↗
2. 10.1126/science.aar395810.1126/science.aar3958 ↗
3. 10.1126/science.aao565410.1126/science.aao5654 ↗
4. 10.1146/annurev-cellbio-100913-01332510.1146/annurev-cellbio-100913-013325 ↗
5. 10.1038/nrm.2017.710.1038/nrm.2017.7 ↗
6. 10.1101/cshperspect.a03405810.1101/cshperspect.a034058 ↗
7. 10.1126/science.aaf438210.1126/science.aaf4382 ↗
8. 10.1016/bs.mie.2018.09.03510.1016/bs.mie.2018.09.035 ↗
9. 10.1074/jbc.REV118.00118810.1074/jbc.REV118.001188 ↗
10. 10.3389/fgene.2019.0017310.3389/fgene.2019.00173 ↗
11. 10.1002/pro.410810.1002/pro.4108 ↗
12. 10.1016/j.cell.2025.04.03910.1016/j.cell.2025.04.039 ↗
13. 10.1073/pnas.95.11.646910.1073/pnas.95.11.6469 ↗
14. 10.1038/s41557-020-0465-910.1038/s41557-020-0465-9 ↗
15. 10.1021/acs.biochem.1c0043410.1021/acs.biochem.1c00434 ↗
16. 10.1016/j.jmb.2022.16771310.1016/j.jmb.2022.167713 ↗
17. Hardenberg M. C. · J. Mol. Cell Biol. · 2021 · 13 · 282
18. 10.1016/j.neuint.2022.10534510.1016/j.neuint.2022.105345 ↗
19. 10.1126/sciadv.adg566310.1126/sciadv.adg5663 ↗
20. 10.1101/cshperspect.a02409110.1101/cshperspect.a024091 ↗
21. 10.1016/j.nbd.2022.10596610.1016/j.nbd.2022.105966 ↗
22. 10.1038/nsmb.319410.1038/nsmb.3194 ↗
23. 10.1038/s41467-018-05971-210.1038/s41467-018-05971-2 ↗
24. 10.1038/s41422-018-0075-x10.1038/s41422-018-0075-x ↗
25. 10.7554/eLife.3640210.7554/eLife.36402 ↗
26. 10.1038/s41594-019-0322-y10.1038/s41594-019-0322-y ↗
27. 10.1038/s41467-021-26433-210.1038/s41467-021-26433-2 ↗
28. 10.1038/s41586-022-05319-310.1038/s41586-022-05319-3 ↗
29. 10.1007/s00401-023-02550-810.1007/s00401-023-02550-8 ↗
30. 10.1038/nature1536810.1038/nature15368 ↗
31. 10.1038/s41594-020-0384-x10.1038/s41594-020-0384-x ↗
32. 10.1073/pnas.231500612110.1073/pnas.2315006121 ↗
33. 10.1002/1873-3468.1436110.1002/1873-3468.14361 ↗
34. 10.1002/advs.20230827910.1002/advs.202308279 ↗
35. 10.1016/j.coche.2019.03.00410.1016/j.coche.2019.03.004 ↗
36. 10.1021/acs.jpclett.4c0126110.1021/acs.jpclett.4c01261 ↗
37. 10.1038/s41467-024-46223-w10.1038/s41467-024-46223-w ↗
38. 10.1039/C8CP05095C10.1039/C8CP05095C ↗
39. 10.1021/acs.jpclett.9b0009910.1021/acs.jpclett.9b00099 ↗
40. 10.1016/j.bpj.2020.06.01410.1016/j.bpj.2020.06.014 ↗
41. 10.1016/j.sbi.2020.12.01210.1016/j.sbi.2020.12.012 ↗
42. 10.1093/nar/gkaa109910.1093/nar/gkaa1099 ↗
43. 10.1038/s41467-021-21181-910.1038/s41467-021-21181-9 ↗
44. 10.1038/s43588-021-00155-310.1038/s43588-021-00155-3 ↗
45. 10.1021/jacs.3c0919510.1021/jacs.3c09195 ↗
46. 10.1021/acs.macromol.1c0255010.1021/acs.macromol.1c02550 ↗
47. 10.1021/acs.jpclett.1c0020810.1021/acs.jpclett.1c00208 ↗
48. 10.1002/smll.20240642910.1002/smll.202406429 ↗
49. Laghmach R. · 2022 · 117
50. 10.1021/acs.chemrev.2c0058610.1021/acs.chemrev.2c00586 ↗
51. 10.1073/pnas.180069011510.1073/pnas.1800690115 ↗
52. 10.1016/S0002-9440(10)65220-010.1016/S0002-9440(10)65220-0 ↗
53. 10.1021/bi400367r10.1021/bi400367r ↗
54. 10.1080/07391102.2017.134706010.1080/07391102.2017.1347060 ↗
55. 10.1021/acs.jcim.3c0069410.1021/acs.jcim.3c00694 ↗
56. 10.1016/j.ijbiomac.2023.12319410.1016/j.ijbiomac.2023.123194 ↗
57. 10.1074/jbc.M01090720010.1074/jbc.M010907200 ↗
58. 10.1007/s00249-010-0595-x10.1007/s00249-010-0595-x ↗
59. 10.1016/j.neuron.2013.09.00410.1016/j.neuron.2013.09.004 ↗
60. 10.1021/bi961799n10.1021/bi961799n ↗
61. 10.1038/s41467-022-32687-110.1038/s41467-022-32687-1 ↗
62. 10.1016/j.jmb.2009.05.05810.1016/j.jmb.2009.05.058 ↗
63. 10.1371/journal.pone.007228610.1371/journal.pone.0072286 ↗
64. 10.1002/anie.20180614410.1002/anie.201806144 ↗
65. 10.1073/pnas.180417711510.1073/pnas.1804177115 ↗
66. 10.1021/acs.jpclett.0c0122210.1021/acs.jpclett.0c01222 ↗
67. 10.1021/acscentsci.9b0010210.1021/acscentsci.9b00102 ↗
68. 10.1021/ja302528z10.1021/ja302528z ↗
69. 10.1073/pnas.071209910510.1073/pnas.0712099105 ↗
70. 10.1146/annurev-biophys-121219-08162910.1146/annurev-biophys-121219-081629 ↗
71. 10.1073/pnas.211169611810.1073/pnas.2111696118 ↗
72. Rubinstein M. · Trends. Polym. Sci. · 1997 · 5 · 181
73. 10.1016/j.cell.2018.06.00610.1016/j.cell.2018.06.006 ↗
74. 10.1038/s41467-022-32350-910.1038/s41467-022-32350-9 ↗
75. 10.1002/pro.402510.1002/pro.4025 ↗
76. 10.1038/s41467-022-28797-510.1038/s41467-022-28797-5 ↗
77. 10.1038/s41556-024-01451-610.1038/s41556-024-01451-6 ↗
78. 10.1146/annurev-biochem-090908-12065610.1146/annurev-biochem-090908-120656 ↗
79. 10.1007/s00401-011-0926-810.1007/s00401-011-0926-8 ↗
80. 10.1101/2024.06.06.597302 10.1101/2024.06.06.597302  ↗
81. 10.1016/j.cell.2018.12.03510.1016/j.cell.2018.12.035 ↗
82. 10.1038/s41586-023-06329-510.1038/s41586-023-06329-5 ↗
83. 10.1073/pnas.211980011910.1073/pnas.2119800119 ↗
84. 10.1038/s41467-022-30521-210.1038/s41467-022-30521-2 ↗
85. 10.1073/pnas.230136612010.1073/pnas.2301366120 ↗
86. 10.1073/pnas.220879212010.1073/pnas.2208792120 ↗
87. 10.1073/pnas.221017711910.1073/pnas.2210177119 ↗
88. 10.7554/eLife.8190710.7554/eLife.81907 ↗
89. 10.1002/anie.20220572610.1002/anie.202205726 ↗
90. 10.1038/s41467-023-43225-y10.1038/s41467-023-43225-y ↗
91. 10.3390/molecules2520470510.3390/molecules25204705 ↗
92. 10.1021/acs.jpclett.9b0173110.1021/acs.jpclett.9b01731 ↗
93. 10.1038/s41467-022-35370-710.1038/s41467-022-35370-7 ↗
94. 10.1021/jacs.1c0307810.1021/jacs.1c03078 ↗
95. 10.1016/j.bpj.2021.11.00310.1016/j.bpj.2021.11.003 ↗
96. 10.1038/s41467-021-27433-y10.1038/s41467-021-27433-y ↗
97. 10.1016/j.bbrc.2024.15105310.1016/j.bbrc.2024.151053 ↗
98. 10.1016/bs.ctm.2021.09.00310.1016/bs.ctm.2021.09.003 ↗
99. 10.1016/j.sbi.2011.04.00110.1016/j.sbi.2011.04.001 ↗
100. 10.1016/j.crstbi.2024.10013810.1016/j.crstbi.2024.100138 ↗