Back

Complex coacervation reshapes the aggregation landscape of tau

Han, Z.; Xu, P.; Ou, Y.; Qian, D.; Xiao, Z.; Wu, Y.; Santambrogio, A.; Vendruscolo, M.; Knowles, T.

2026-07-01 biophysics
10.64898/2026.06.27.734011 bioRxiv
Show abstract

Biomolecular condensates are increasingly implicated in protein aggregation, yet their contribution is often reduced to that of concentrating reactants. Whether the phase state of a protein itself changes how it aggregates remains unclear. Using complex coacervates of a tau repeat-domain construct (K12) with heparin, we show that phase separation does not simply accelerate tau aggregation but redirects it along a distinct kinetic regime. Amyloid nucleation and growth are largely associated with the condensed phase, where intact phase-separated mixtures nucleate with a markedly shortened lag phase, whereas the corresponding dilute phase contributes little to overall amyloid formation. Aggregation kinetics in this regime become largely decoupled from total protein concentration. Because phase equilibrium pins the composition of the dense phase, additional tau partitions largely into the coexisting dilute phase without substantially altering the reacting population. This weak concentration dependence provides a kinetic signature of compartmentalized aggregation, and it recurs across chemically distinct coacervates formed with heparin, RNA, and polyglutamate, pointing to a general feature of coacervate-mediated tau assembly rather than a heparin-specific effect. Aggregation within coacervates also yields fibrils with altered morphology and secondary structure, suggesting access to alternative regions of the assembly landscape, and shows reduced sensitivity to bulk pH perturbations. Together, these results show that condensation changes tau aggregation by defining the local reaction environment: phase equilibrium buffers the dense-phase composition, in turn altering aggregation kinetics and the properties of the amyloid formed.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Biophysical Journal
631 papers in training set
Top 0.4%
18.2%
2
Nature Communications
5641 papers in training set
Top 12%
14.9%
3
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 3%
11.7%
4
Protein Science
246 papers in training set
Top 0.7%
5.4%
50% of probability mass above
5
Nature Chemistry
42 papers in training set
Top 0.2%
4.8%
6
Journal of Biological Chemistry
690 papers in training set
Top 2%
4.3%
7
Journal of the American Chemical Society
217 papers in training set
Top 0.8%
4.3%
8
JACS Au
43 papers in training set
Top 0.1%
4.0%
9
Communications Chemistry
48 papers in training set
Top 0.2%
4.0%
10
eLife
5828 papers in training set
Top 41%
2.4%
11
Biochemistry
148 papers in training set
Top 1%
1.9%
12
Journal of Molecular Biology
232 papers in training set
Top 2%
1.7%
13
ACS Chemical Neuroscience
67 papers in training set
Top 0.7%
1.7%
14
ACS Central Science
71 papers in training set
Top 0.9%
1.4%
15
Nature Chemical Biology
119 papers in training set
Top 2%
1.1%
16
Neuron
337 papers in training set
Top 4%
1.1%
17
Science Advances
1243 papers in training set
Top 26%
1.1%
18
Cell Reports
1498 papers in training set
Top 24%
1.1%
19
Advanced Science
286 papers in training set
Top 8%
1.0%
20
Scientific Reports
3612 papers in training set
Top 70%
1.0%
21
Molecular Cell
350 papers in training set
Top 5%
0.8%
22
Structure
193 papers in training set
Top 2%
0.8%
23
Molecular Systems Biology
162 papers in training set
Top 3%
0.8%