Zhou Linghua, Shen Yong, Jiang Libo, Yin Danni, Guo Jingxin, Zheng Hui, Sun Hao, Wu Rongling, Guo Yunqian
Center for Computational Biology, Beijing Forestry University, Beijing, People's Republic of China.
CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, People's Republic of China.
PLoS One. 2015 May 13;10(5):e0126937. doi: 10.1371/journal.pone.0126937. eCollection 2015.
Cells with the same genotype growing under the same conditions can show different phenotypes, which is known as "population heterogeneity". The heterogeneity of hematopoietic progenitor cells has an effect on their differentiation potential and lineage choices. However, the genetic mechanisms governing population heterogeneity remain unclear. Here, we present a statistical model for mapping the quantitative trait locus (QTL) that affects hematopoietic cell heterogeneity. This strategy, termed systems mapping, integrates a system of differential equations into the framework for systems mapping, allowing hypotheses regarding the interplay between genetic actions and cell heterogeneity to be tested. A simulation approach based on cell heterogeneity dynamics has been designed to test the statistical properties of the model. This model not only considers the traditional QTLs, but also indicates the methylated QTLs that can illustrate non-genetic individual differences. It has significant implications for probing the molecular, genetic and epigenetic mechanisms of hematopoietic progenitor cell heterogeneity.
具有相同基因型的细胞在相同条件下生长时可表现出不同的表型,这被称为“群体异质性”。造血祖细胞的异质性对其分化潜能和谱系选择有影响。然而,控制群体异质性的遗传机制仍不清楚。在此,我们提出了一种用于定位影响造血细胞异质性的数量性状基因座(QTL)的统计模型。这种策略被称为系统定位,它将一个微分方程系统整合到系统定位框架中,从而能够检验关于遗传作用与细胞异质性之间相互作用的假设。已设计出一种基于细胞异质性动力学的模拟方法来测试该模型的统计特性。该模型不仅考虑了传统的QTL,还指出了能够阐明非遗传个体差异的甲基化QTL。它对于探究造血祖细胞异质性的分子、遗传和表观遗传机制具有重要意义。