Do DNA microarrays tell the story of gene expression?

Simon Rosenfeld
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引用次数: 13

Abstract

Poor reproducibility of microarray measurements is a major obstacle to their application as an instrument for clinical diagnostics. In this paper, several aspects of poor reproducibility are analyzed. All of them belong to the category of interpretive weaknesses of DNA microarray technology. First, the attention is drawn to the fact that absence of the information regarding post-transcriptional mRNA stability makes it impossible to evaluate the level of gene activity from the relative mRNA abundances, the quantities available from microarray measurements. Second, irreducible intracellular variability with persistent patterns of stochasticity and burstiness put natural limits to reproducibility. Third, strong interactions within intracellular biomolecular networks make it highly problematic to build a bridge between transcription rates of individual genes and structural fidelity of their genetic codes. For these reasons, the microarray measurements of relative mRNA abundances are more appropriate in laboratory settings as a tool for scientific research, hypotheses generating and producing the leads for subsequent validation through more sophisticated technologies. As to clinical settings, where firm conclusive diagnoses, not the leads for further experimentation, are required, microarrays still have a long way to go until they become a reliable instrument in patient-related decision making.

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DNA微阵列能讲述基因表达的故事吗?
微阵列测量的可重复性差是其作为临床诊断仪器应用的主要障碍。本文对再现性差的几个方面进行了分析。这些都属于DNA微阵列技术的解释弱点范畴。首先,需要注意的是,由于缺乏关于转录后mRNA稳定性的信息,因此不可能从相对mRNA丰度(从微阵列测量可获得的数量)来评估基因活性水平。其次,不可还原的细胞内变异性与持续的随机性和突发性模式自然限制了可重复性。第三,细胞内生物分子网络之间的强烈相互作用使得在单个基因的转录率与其遗传密码的结构保真度之间建立桥梁变得非常困难。由于这些原因,相对mRNA丰度的微阵列测量更适合在实验室环境中作为科学研究的工具,通过更复杂的技术产生假设和产生后续验证的线索。至于临床环境,需要的是确凿的结论性诊断,而不是进一步实验的线索,微阵列在成为患者相关决策的可靠工具之前还有很长的路要走。
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