Bioinformatics approaches to single-blastomere transcriptomics.
Bioinformatics approaches to single-blastomere transcriptomics.
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DOI：
10.1093/molehr/gau083
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发表时间：
2015-02
影响因子：
4
通讯作者：
L. Taher;M. Pfeiffer;G. Fuellen
中科院分区：
文献类型：
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作者：
L. Taher;M. Pfeiffer;G. Fuellen
在小鼠植入前发育过程中，全能合子产生具有不同身份的细胞。许多研究都集中于分析这些谱系决策过程中的时空依赖性，并且通过追踪转基因标记基因表达直至囊胚阶段以及分析基因操作（敲除/过度表达）对胚胎发育的影响，已经学到了很多东西。然而，直到最近，还不可能对同一胚胎中区分一个细胞与另一个细胞的基因表达网络进行更广泛的概述。随着全基因组扩增方法和基于微流体的定量 RT-PCR 的出现，生成单细胞转录组成为可能。在这里，我们回顾了应用于小鼠植入前胚胎卵裂球的单细胞转录组学的最新技术，并总结了近年来开创性研究的发现。此外，我们使用 PluriNetWork 和 ExprEssence 根据已发布的数据研究细胞转变。
The totipotent zygote gives rise to cells with differing identities during mouse preimplantation development. Many studies have focused on analyzing the spatio-temporal dependencies during these lineage decision processes and much has been learnt by tracing transgenic marker gene expression up to the blastocyst stage and by analyzing the effects of genetic manipulations (knockout/ overexpression) on embryo development. However, until recently, it has not been possible to get broader overviews on the gene expression networks that distinguish one cell from the other within the same embryo. With the advent of whole genome amplification methodology and microfluidics-based quantitative RT-PCR it became possible to generate transcriptomes of single cells. Here we review the current state of the art of single-cell transcriptomics applied to mouse preimplantation embryo blastomeres and summarize findings made by pioneering studies in recent years. Furthermore we use the PluriNetWork and ExprEssence to investigate cell transitions based on published data.