Multivalency in Tau–Microtubule Interactions: Heterogeneous Association and Functional Implications

Tau is a dynamic microtubule-associated protein essential for maintaining microtubule (MT) stability and neuronal function. Its intrinsically disordered nature, combined with its multivalent binding capacity, makes it challenging to characterize structurally. Governed largely by electrostatic interactions, both in solution and when bound to MTs, Tau exhibits highly transient and heterogeneous behavior. Here, we apply coarse-grained molecular dynamics simulations to investigate tau-MT interactions and uncover how multivalent binding is regulated at the sub-regional level. Our simulations capture interactions both with the flexible, disordered C-terminal tails of tubulin and with the structured tubulin surface. We show that distinct tau sub-regions contribute differentially to binding. Isoform variation, defined by the presence or absence of specific sub-regions, further modulates tau's interaction with tubulin, influencing both MT stability and dimer polymerization rates through electrostatic tuning. Our simulations also reveal how Alzheimer's disease-associated phosphorylation disrupts tau-MT interactions by weakening multivalent engagement. Together, our findings provide new mechanistic insight into how electrostatics and sub-regional composition regulate the dynamic, multivalent nature of tau-MT interactions, with implications for neuronal integrity and tauopathy-related dysfunction.

Institutions

Publication Details

Journal
Journal of Molecular Biology
Published
2025-12-19
DOI
https://doi.org/10.1016/j.jmb.2025.169600
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multivalency in Tau–Microtubule Interactions: Heterogeneous Association and Functional Implications

Journal of Molecular Biology
Microtubule and mitosis dynamics
article

Multivalency in Tau–Microtubule Interactions: Heterogeneous Association and Functional Implications

article en

Abstract

Tau is a dynamic microtubule-associated protein essential for maintaining microtubule (MT) stability and neuronal function. Its intrinsically disordered nature, combined with its multivalent binding capacity, makes it challenging to characterize structurally. Governed largely by electrostatic interactions, both in solution and when bound to MTs, Tau exhibits highly transient and heterogeneous behavior. Here, we apply coarse-grained molecular dynamics simulations to investigate tau-MT interactions and uncover how multivalent binding is regulated at the sub-regional level. Our simulations capture interactions both with the flexible, disordered C-terminal tails of tubulin and with the structured tubulin surface. We show that distinct tau sub-regions contribute differentially to binding. Isoform variation, defined by the presence or absence of specific sub-regions, further modulates tau's interaction with tubulin, influencing both MT stability and dimer polymerization rates through electrostatic tuning. Our simulations also reveal how Alzheimer's disease-associated phosphorylation disrupts tau-MT interactions by weakening multivalent engagement. Together, our findings provide new mechanistic insight into how electrostatics and sub-regional composition regulate the dynamic, multivalent nature of tau-MT interactions, with implications for neuronal integrity and tauopathy-related dysfunction.

Journal of Molecular BiologyVol. 438(5)
Weizmann Institute of Science (IL)
Openalex Percentile: Top 35%
Microtubule and mitosis dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.