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arXiv 1402.4319q-bio.TOq-bio.CB
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上皮tissue中力和应力推断的稳健性

Robustness of force and stress inference in an epithelial tissue

K. Sugimura, Y. Bellaïche, F. Graner, P. Marcq, S. Ishihara

摘要:

在形态发生期间,组织的形状来自集体细胞行为,其部分地由细胞之间的机械和生物化学相互作用调节。因此,力和应力的定量化对于分析控制组织形态发生的机制是必要的。最近,已经开发了一种基于从细胞形状和连接性推断力的机械测量方法。它是非侵入性的,并且可以提供上皮组织内的力和应力的时空图,直到前因子。我们以前进行了比较研究的三个力推理方法,不同的是他们的方法来处理不确定性之间的细胞形状和力的反问题。在本研究中,为了进一步验证和比较三种力推断方法,我们通过测量估计力的时间波动来测试它们的鲁棒性。发育中的组织中细胞水平动力学的定量数据表明,力和应力的变化在短时间内($\sim$分钟)将保持很小。在这里,我们表明,细胞连接的张力和整体应力推断贝叶斯力推断方法随时间的变化比那些推断的方法,估计只有紧张。相比之下,估计细胞压力的时间波动的幅度不同的方法之间的差异较小。总之,本研究加强了贝叶斯力推理方法的有效性和鲁棒性。

英文摘要:

During morphogenesis, the shape of a tissue emerges from collective cellular behaviors, which are in part regulated by mechanical and biochemical interactions between cells. Quantification of force and stress is therefore necessary to analyze the mechanisms controlling tissue morphogenesis. Recently, a mechanical measurement method based on force inference from cell shapes and connectivity has been developed. It is non-invasive, and can provide space-time maps of force and stress within an epithelial tissue, up to prefactors. We previously performed a comparative study of three force-inference methods, which differ in their approach of treating indefiniteness in an inverse problem between cell shapes and forces. In the present study, to further validate and compare the three force inference methods, we tested their robustness by measuring temporal fluctuation of estimated forces. Quantitative data of cell-level dynamics in a developing tissue suggests that variation of forces and stress will remain small within a short period of time ($\sim$minutes). Here, we showed that cell-junction tensions and global stress inferred by the Bayesian force inference method varied less with time than those inferred by the method that estimates only tension. In contrast, the amplitude of temporal fluctuations of estimated cell pressures differs less between different methods. Altogether, the present study strengthens the validity and robustness of the Bayesian force-inference method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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