Analysis of microtubule dynamics using growth curve models

被引:0
|
作者
Jammalamadaka, S. Rao [1 ]
Siddiqi, Md. Aleemuddin [2 ]
Ghosh, Kaushik [3 ]
机构
[1] Univ Calif Santa Barbara, Dept Stat & Appl Probabil, Santa Barbara, CA 93106 USA
[2] Symbiance Inc, Princeton Jct, NJ USA
[3] Univ Nevada, Dept Math Sci, Las Vegas, NV 89154 USA
基金
美国国家科学基金会;
关键词
growth curves; microtubule dynamics; polynomial regression; splines; MANOVA; Wilks' Lamda;
D O I
10.1080/02664760802479131
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Microtubules are part of the structural network within a cell's cytoplasm, providing structural support as well as taking part in many of the cellular processes. A large body of data provide evidence that dynamics of microtubules in a cell is reponsible for the performance of many critical cellular functions such as cell division. In this article, we study the effect of four different isoforms of a protein tau on microtubule dynamics using growth curve models. The results show that a linear growth curve model is sufficient to explain the data. Moreover, we find that a mutated version of a 3-repeat tau protein has a similar effect as a 4-repeat tau protein on microtubule dynamics. The latter findings conform with the biological understanding of the effect of the protein tau on microtubule dynamics.
引用
收藏
页码:621 / 631
页数:11
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