2004
DOI: 10.1126/science.1095087
|View full text |Cite
|
Sign up to set email alerts
|

Elastic Behavior of Cross-Linked and Bundled Actin Networks

Abstract: Networks of cross-linked and bundled actin filaments are ubiquitous in the cellular cytoskeleton, but their elasticity remains poorly understood. We show that these networks exhibit exceptional elastic behavior that reflects the mechanical properties of individual filaments. There are two distinct regimes of elasticity, one reflecting bending of single filaments and a second reflecting stretching of entropic fluctuations of filament length. The mechanical stiffness can vary by several decades with small change… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

128
1,332
7
1

Year Published

2006
2006
2023
2023

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 1,159 publications
(1,468 citation statements)
references
References 23 publications
128
1,332
7
1
Order By: Relevance
“…Ultimately the network ruptures and G 0 0:5 decreases dramatically; this occurs at a stress, max 3 Pa, and strain, max 50%. This transition between stress weakening and stress stiffening in cross-linked networks is consistent with previous results for cross-linked F-actin networks [8,13].…”
supporting
confidence: 92%
See 4 more Smart Citations
“…Ultimately the network ruptures and G 0 0:5 decreases dramatically; this occurs at a stress, max 3 Pa, and strain, max 50%. This transition between stress weakening and stress stiffening in cross-linked networks is consistent with previous results for cross-linked F-actin networks [8,13].…”
supporting
confidence: 92%
“…The stress-stiffening behavior of these networks is roughly 20-fold larger than any previously reported [5,8,9]. Furthermore, in contrast to covalently cross-linked F-actin networks, c and the maximum strain of the linear regime of these networks are both rather insensitive to changes in R [13]. Instead, the parameter that is most sensitive to variations in R is max ; these networks can withstand stresses 10 -100 times larger than G 0 .…”
mentioning
confidence: 63%
See 3 more Smart Citations