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Transcriptomics and micronutrient research

机译:转录组学和微量营养素研究

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摘要

This review examines the extent to which transcriptomic methods have lived up to their promise in the context of nutrition research, placing particular emphasis on examples from micronutrient research. A case is made that the high quality platform technologies now available, together with established standards and systems for data storage and exchange and powerful new methods of data analysis, mean that microarrays have reached a level of technical maturity at which they can be exploited to their full potential. In the context of nutrition and micronutrient research, transcriptomic methods have already been widely applied, albeit primarily in studies using cell lines and animal models. Using this type of approach, a multitude of genes regulated at the mRNA level by dietary components has been identified and this, in turn, has provided new insights into the biological processes affected by nutritional parameters. Evidence from the very limited number of published transcriptomics-based nutritional studies performed in human volunteers suggests that, with appropriate study design, it is feasible to apply transcriptomic methods successfully in dietary intervention trials. On the other hand, gene expression-based biomarker development still poses a major challenge. Here the use of expression profile 'signatures', rather than single genes, may provide a solution. Approaches designed to identify such 'signatures' are being developed and tested widely, primarily in the context of medical research. The applicability and power of such approaches should also be evaluated in the context of nutrition.
机译:这篇综述研究了转录组学方法在营养学研究中实现其承诺的程度,特别强调了微量营养素研究的实例。有一个案例表明,现在可以使用的高质量平台技术,以及用于数据存储和交换的既定标准和系统,以及功能强大的数据分析新方法,意味着微阵列已经达到了一定的技术成熟度,可以对其进行开发。充分发挥潜力。在营养和微量营养素研究的背景下,转录组学方法已被广泛应用,尽管主要是在使用细胞系和动物模型进行的研究中。使用这种方法,已经确定了饮食成分在mRNA水平上调控的多种基因,这反过来又为受营养参数影响的生物学过程提供了新的见识。在人类志愿者中进行的基于转录组学的营养研究数量非常有限的证据表明,通过适当的研究设计,在饮食干预试验中成功应用转录组学方法是可行的。另一方面,基于基因表达的生物标志物的开发仍然提出了重大挑战。在这里,使用表达谱“签名”而不是单个基因可以提供解决方案。主要在医学研究的背景下,旨在识别此类“签名”的方法正在得到广泛的开发和测试。此类方法的适用性和功效也应在营养方面进行评估。

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