Bayesian Detection of Abnormal Asynchrony of Division Between Sister Cells in Mutant Caenorhabditis elegans Embryos

Journal of computational biology: A journal of computational molecular cell biology

YusiFang^1¹  YuxiaoYang^1²  WeiLiang^1³ 

[1] Address correspondence to: Dr. Jie Hu, School of Mathematical Science, Xiamen University, Xiamen, Fujian 351000, China^3;Department of Biology, Hong Kong Baptist University, Hong Kong, China^2;School of Mathematical Science, Xiamen University, Xiamen, China^1

关键词: ADS;    Bayesian statistics;    quantile regression;    semiparametric model;   

DOI  :  10.1089/cmb.2018.0246

学科分类：生物科学（综合）

来源: Mary Ann Liebert, Inc. Publishers

【 摘 要 】

Cell division timing is critical for cell fate specification and morphogenesis during embryogenesis, but how division timings are regulated among cells during development is poorly understood. In this article, we focus on the comparison of asynchrony of division, that is, difference of lifetime, between sister cells (ADS) among wild-type and mutant individuals of Caenorhabditis elegans. On the one hand, due to extreme imbalance between wild-type individuals and mutant-type samples, direct comparison of two distributions of ADS between wild type and mutant type is not feasible. On the other hand, we originally found that the ADS is correlated with the lifespan of the corresponding mother cell in wild type. Hence, a semiparametric Bayesian quantile regression method where lifetime of the mother cell is taken as covariate is developed to estimate the 95% confidence curve of ADS in wild type and then ADS of mutant type is classified as abnormal if outside the corresponding confidence interval. A high accuracy of our method is demonstrated by a large-scale simulation study. Real data analysis shows that ADS is related to gene function and expression quantitatively.

【 授权许可】

Unknown