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一种基于差异黏附假说估计细胞间相互作用强度的统计学方法。

A statistical approach to estimating the strength of cell-cell interactions under the differential adhesion hypothesis.

作者信息

Emily Mathieu, François Olivier

机构信息

TIMC-TIMB, Université Joseph Fourier, INP Grenoble, Faculty of Medicine, 38706 La Tronche cedex, France.

出版信息

Theor Biol Med Model. 2007 Sep 18;4:37. doi: 10.1186/1742-4682-4-37.

DOI:10.1186/1742-4682-4-37
PMID:17877791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2213651/
Abstract

BACKGROUND

The Differential Adhesion Hypothesis (DAH) is a theory of the organization of cells within a tissue which has been validated by several biological experiments and tested against several alternative computational models.

RESULTS

In this study, a statistical approach was developed for the estimation of the strength of adhesion, incorporating earlier discrete lattice models into a continuous marked point process framework. This framework allows to describe an ergodic Markov Chain Monte Carlo algorithm that can simulate the model and reproduce empirical biological patterns. The estimation procedure, based on a pseudo-likelihood approximation, is validated with simulations, and a brief application to medulloblastoma stained by beta-catenin markers is given.

CONCLUSION

Our model includes the strength of cell-cell adhesion as a statistical parameter. The estimation procedure for this parameter is consistent with experimental data and would be useful for high-throughput cancer studies.

摘要

背景

差异黏附假说（DAH）是一种关于组织内细胞组织方式的理论，已通过多项生物学实验得到验证，并与几种替代计算模型进行了对比测试。

结果

在本研究中，开发了一种统计方法来估计黏附强度，将早期的离散晶格模型纳入连续标记点过程框架。该框架允许描述一种遍历马尔可夫链蒙特卡罗算法，该算法可以模拟模型并重现经验生物学模式。基于伪似然近似的估计程序通过模拟得到验证，并给出了对β-连环蛋白标记染色的髓母细胞瘤的简要应用。

结论

我们的模型将细胞间黏附强度作为一个统计参数。该参数的估计程序与实验数据一致，将有助于高通量癌症研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73a8/2213651/0e1ccf2c0f1b/1742-4682-4-37-7.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73a8/2213651/52678649b469/1742-4682-4-37-1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73a8/2213651/0e1ccf2c0f1b/1742-4682-4-37-7.jpg

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