Nygaard Vigdis, Hovig Eivind
Department of Tumor Biology, Institute for Cancer Research, Norwegian Radium Hospital, 0310 Oslo, Norway.
Front Biosci (Landmark Ed). 2009 Jan 1;14(2):552-69. doi: 10.2741/3262.
Gene expression of protein encoding genes can be quantitatively measured at the transcriptional level by a number of low- to high-throughput methods. The sensitivity of each method is dependent on both the intrinsic properties of the respective technology and the absolute number of each mRNA molecule to be measured. For these reasons, the correlation of measurements between technological platforms may be variable. Due to the complexity of the transcriptome, the purpose of a gene expression study dictates the choice of method as each is connected to a set of advantages and disadvantages. Strategies such as global mRNA amplification of small samples, have been implemented to overcome previous limitations. However, stochastic events will limit quantitative measurements of any tool when in-put levels are extremely low. Due to the versatile nature of microarray technology, this method will likely persist as a highly applied tool to query the levels of non-coding transcripts, a new expansion in the field of gene expression analysis although possible advances of the technology may occur.
通过许多低通量到高通量的方法，可以在转录水平上对蛋白质编码基因的基因表达进行定量测量。每种方法的灵敏度取决于各自技术的内在特性以及要测量的每个mRNA分子的绝对数量。由于这些原因，技术平台之间测量值的相关性可能会有所不同。由于转录组的复杂性，基因表达研究的目的决定了方法的选择，因为每种方法都有其优缺点。为了克服以前的局限性，已经实施了诸如对小样本进行全局mRNA扩增等策略。然而，当输入水平极低时，随机事件将限制任何工具的定量测量。由于微阵列技术的通用性，尽管该技术可能会有新的进展，但这种方法可能仍会作为一种高度应用的工具，用于查询非编码转录本的水平，这是基因表达分析领域的一个新扩展。
