Multi-platform compatible software for analysis of polymer bending mechanics.
Multi-platform compatible software for analysis of polymer bending mechanics.
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DOI：
10.1371/journal.pone.0094766
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
De La Cruz EM
中科院分区：
文献类型：
--
作者：
Graham JS;McCullough BR;Kang H;Elam WA;Cao W;De La Cruz EM
细胞骨架聚合物在细胞对外部和内部应力的响应中起着重要作用。这些聚合物的机械性能的定量知识是必不可少的细胞力学和机械传感的预测模型的开发。线性细胞骨架聚合物，如肌动蛋白丝和微管，可以生长到细胞长度尺度，在此尺度下，它们表现为经历热驱动形状变形的半柔性聚合物。弯曲变形通常采用蠕虫链模型。聚合物的抗弯曲性的定量度量是持续长度，该模型的基本参数。聚合物的弯曲持续长度是从其形状中提取的，如使用各种成像技术可视化的。然而，大多数生物学研究人员或教育工作者往往不容易获得确定持久性长度所需的分析方法。出于这种限制，我们开发了用户友好的，多平台兼容的软件，以确定从表面吸附或自由波动的聚合物的图像的弯曲持久长度。有三种不同类型的分析（余弦相关、端到端和弯曲模式分析），允许对分析结果进行严格的交叉检查。该软件是免费提供的，我们提供吸附和波动的长丝的样本数据和预期的分析结果，用于教育和教程目的。
Cytoskeletal polymers play a fundamental role in the responses of cells to both external and internal stresses. Quantitative knowledge of the mechanical properties of those polymers is essential for developing predictive models of cell mechanics and mechano-sensing. Linear cytoskeletal polymers, such as actin filaments and microtubules, can grow to cellular length scales at which they behave as semiflexible polymers that undergo thermally-driven shape deformations. Bending deformations are often modeled using the wormlike chain model. A quantitative metric of a polymer's resistance to bending is the persistence length, the fundamental parameter of that model. A polymer's bending persistence length is extracted from its shape as visualized using various imaging techniques. However, the analysis methodologies required for determining the persistence length are often not readily within reach of most biological researchers or educators. Motivated by that limitation, we developed user-friendly, multi-platform compatible software to determine the bending persistence length from images of surface-adsorbed or freely fluctuating polymers. Three different types of analysis are available (cosine correlation, end-to-end and bending-mode analyses), allowing for rigorous cross-checking of analysis results. The software is freely available and we provide sample data of adsorbed and fluctuating filaments and expected analysis results for educational and tutorial purposes.
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影响因子：
14.9
作者：
Günther K;Mertig M;Seidel R
通讯作者：
Seidel R
DOI：
10.1073/pnas.1211078109
发表时间：
2012-10-16
影响因子：
11.1
作者：
Kang, Hyeran;Bradley, Michael J.;De La Cruz, Enrique M.
通讯作者：
De La Cruz, Enrique M.
影响因子：
4.8
作者：
ISAMBERT, H;VENIER, P;CARLIER, MF
通讯作者：
CARLIER, MF
影响因子：
3.4
作者：
McCullough, Brannon R.;Grintsevich, Elena E.;De La Cruz, Enrique M.
通讯作者：
De La Cruz, Enrique M.
微管和肌动蛋白丝的弯曲刚度是根据形状的热波动测得的。
DOI：
10.1083/jcb.120.4.923
发表时间：
1993-02
期刊：
The Journal of cell biology
影响因子：
--
作者：
Gittes F;Mickey B;Nettleton J;Howard J
通讯作者：
Howard J