Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
PLoS Genet. 2012 Jan;8(1):e1002446. doi: 10.1371/journal.pgen.1002446. Epub 2012 Jan 12.
The root epidermis of Arabidopsis provides an exceptional model for studying the molecular basis of cell fate and differentiation. To obtain a systems-level view of root epidermal cell differentiation, we used a genome-wide transcriptome approach to define and organize a large set of genes into a transcriptional regulatory network. Using cell fate mutants that produce only one of the two epidermal cell types, together with fluorescence-activated cell-sorting to preferentially analyze the root epidermis transcriptome, we identified 1,582 genes differentially expressed in the root-hair or non-hair cell types, including a set of 208 "core" root epidermal genes. The organization of the core genes into a network was accomplished by using 17 distinct root epidermis mutants and 2 hormone treatments to perturb the system and assess the effects on each gene's transcript accumulation. In addition, temporal gene expression information from a developmental time series dataset and predicted gene associations derived from a Bayesian modeling approach were used to aid the positioning of genes within the network. Further, a detailed functional analysis of likely bHLH regulatory genes within the network, including MYC1, bHLH54, bHLH66, and bHLH82, showed that three distinct subfamilies of bHLH proteins participate in root epidermis development in a stage-specific manner. The integration of genetic, genomic, and computational analyses provides a new view of the composition, architecture, and logic of the root epidermal transcriptional network, and it demonstrates the utility of a comprehensive systems approach for dissecting a complex regulatory network.
拟南芥根表皮为研究细胞命运和分化的分子基础提供了一个极好的模型。为了从系统水平上了解根表皮细胞的分化,我们采用全基因组转录组方法将大量基因定义并组织成一个转录调控网络。利用只产生两种表皮细胞类型之一的细胞命运突变体,结合荧光激活细胞分选技术来优先分析根表皮转录组,我们鉴定出 1582 个在根毛细胞和非根毛细胞类型中差异表达的基因,其中包括一组 208 个“核心”根表皮基因。通过使用 17 种不同的根表皮突变体和 2 种激素处理来干扰系统并评估对每个基因转录积累的影响,将核心基因组织成网络。此外,还利用来自发育时间序列数据集的时间基因表达信息和基于贝叶斯建模方法预测的基因关联来帮助确定基因在网络中的位置。此外,对网络中可能的 bHLH 调节基因(包括 MYC1、bHLH54、bHLH66 和 bHLH82)进行详细的功能分析表明,三个不同的 bHLH 蛋白亚家族以特定阶段的方式参与根表皮的发育。遗传、基因组和计算分析的综合提供了根表皮转录调控网络的组成、结构和逻辑的新视角,并展示了综合系统方法在剖析复杂调控网络方面的实用性。