Roberfroid Stefanie, Vanderleyden Jos, Steenackers Hans
a Department of Microbial and Molecular Systems , Centre of Microbial and Plant Genetics, KU Leuven , Leuven , Belgium.
Crit Rev Microbiol. 2016 Nov;42(6):969-84. doi: 10.3109/1040841X.2015.1122571. Epub 2016 Jan 5.
During the last decade it has been shown that among cell variation in gene expression plays an important role within clonal populations. Here, we provide an overview of the different mechanisms contributing to gene expression variability in clonal populations. These are ranging from inherent variations in the biochemical process of gene expression itself, such as intrinsic noise, extrinsic noise and bistability to individual responses to variations in the local micro-environment, a phenomenon called phenotypic plasticity. Also genotypic variations caused by clonal evolution and phase variation can contribute to gene expression variability. Consequently, gene expression studies need to take these fluctuations in expression into account. However, frequently used techniques for expression quantification, such as microarrays, RNA sequencing, quantitative PCR and gene reporter fusions classically determine the population average of gene expression. Here, we discuss how these techniques can be adapted towards single cell analysis by integration with single cell isolation, RNA amplification and microscopy. Alternatively more qualitative selection-based techniques, such as mutant screenings, in vivo expression technology (IVET) and recombination-based IVET (RIVET) can be applied for detection of genes expressed only within a subpopulation. Finally, differential fluorescence induction (DFI), a protocol specially designed for single cell expression is discussed.
在过去十年中,已表明在细胞群体中基因表达的变化在克隆群体中起着重要作用。在此,我们概述了导致克隆群体中基因表达变异性的不同机制。这些机制范围广泛,从基因表达本身生化过程中的固有变化,如内在噪声、外在噪声和双稳态,到对局部微环境变化的个体反应,即所谓的表型可塑性。由克隆进化和相变引起的基因型变异也可能导致基因表达变异性。因此,基因表达研究需要考虑这些表达波动。然而,常用的表达定量技术,如微阵列、RNA测序、定量PCR和基因报告融合,传统上是确定基因表达的群体平均值。在此,我们讨论如何通过与单细胞分离、RNA扩增和显微镜技术相结合,使这些技术适用于单细胞分析。或者,更具定性的基于选择的技术,如突变体筛选、体内表达技术(IVET)和基于重组的IVET(RIVET),可用于检测仅在亚群体中表达的基因。最后,讨论了专门为单细胞表达设计的方案——差异荧光诱导(DFI)。