Force-dependent unfolding dynamics of spectrin R16: Resolving experimental contradiction and unveiling model consistency

Abstract Spectrin domains, characterized by a distinctive triple helix structure, are crucial in physiological processes, particularly in maintaining membrane shape and crosslinking cytoskeletons. Previous research on the 16th domain of α -spectrin repeats (R16) has yielded conflicting results: bulk experiments showed an unfolding rate approximately two orders of magnitude faster than the zero-force result extrapolated from single-molecule force spectroscopy experiments using atomic force microscopy (AFM). To address this discrepancy, we investigated the folding and unfolding rates of R16 across a broader range of forces using magnetic tweezers (MT). Our findings reveal that AFM results at higher forces cannot be directly extrapolated to the low-force regime due to a nonlinear relationship between force and the logarithm of the unfolding rate. We demonstrated that two-dimensional model, structural-elastic model, and two-pathway model can all effectively explain the experimental data when they capture the core physics of the short unfolding distance at low forces. Our study provides a more comprehensive understanding of the unfolding dynamics of the spectrin domain, resolves previous contradictory experimental results, and highlights the common basis of different theoretical models.

Authors

Institutions

Publication Details

Journal
Chinese Physics B
Published
2025-03-07
DOI
https://doi.org/10.1088/1674-1056/adbdbf
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Force-dependent unfolding dynamics of spectrin R16: Resolving experimental contradiction and unveiling model consistency

Shimin Le, Y. N. Zhang, Wanxing Zhang, Hu Chen et al.
Chinese Physics B
Protein Structure and Dynamics
article

Force-dependent unfolding dynamics of spectrin R16: Resolving experimental contradiction and unveiling model consistency

Shimin Le, Y. N. Zhang, Wanxing Zhang, Hu Chen, Zhenyong Xue, Zhuwei Zhang
article en

Abstract

Abstract Spectrin domains, characterized by a distinctive triple helix structure, are crucial in physiological processes, particularly in maintaining membrane shape and crosslinking cytoskeletons. Previous research on the 16th domain of α -spectrin repeats (R16) has yielded conflicting results: bulk experiments showed an unfolding rate approximately two orders of magnitude faster than the zero-force result extrapolated from single-molecule force spectroscopy experiments using atomic force microscopy (AFM). To address this discrepancy, we investigated the folding and unfolding rates of R16 across a broader range of forces using magnetic tweezers (MT). Our findings reveal that AFM results at higher forces cannot be directly extrapolated to the low-force regime due to a nonlinear relationship between force and the logarithm of the unfolding rate. We demonstrated that two-dimensional model, structural-elastic model, and two-pathway model can all effectively explain the experimental data when they capture the core physics of the short unfolding distance at low forces. Our study provides a more comprehensive understanding of the unfolding dynamics of the spectrin domain, resolves previous contradictory experimental results, and highlights the common basis of different theoretical models.

Chinese Physics BVol. 34(8)
Xiamen University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 96%
Protein Structure and 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.