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血源性生物样本分析前变异性对组学研究的影响:迈向精准生物库?

Impact of Preanalytical Variations in Blood-Derived Biospecimens on Omics Studies: Toward Precision Biobanking?

机构信息

Division of Biobank for Health Sciences, Center for Genome Science, Korea National Institute of Health , Korea Centers for Disease Control and Prevention, Cheongju-si, Korea.

出版信息

OMICS. 2017 Sep;21(9):499-508. doi: 10.1089/omi.2017.0109. Epub 2017 Sep 5.

Abstract

Research data and outcomes do vary across populations and persons, but this is not always due to experimental or true biological variation. Preanalytical components of experiments, be they biospecimen acquisition, preparation, storage, or transportation to the laboratory, may all contribute to apparent variability in research data, outcomes, and interpretation. The present review article and biobanking innovation analysis offer new insights with a summary of such preanalytical variables, for example, the type of blood collection tube, centrifugation conditions, long-term sample storage temperature, and duration, on output of omics analyses of blood-derived biospecimens: whole blood, serum, plasma, buffy coat, and peripheral blood mononuclear cells. Furthermore, we draw parallels from the field of precision medicine in this study, with a view to the future of "precision biobanking" wherein such preanalytical variations are carefully taken into consideration so as to minimize their influence on outcomes of omics data, analyses, and sensemaking, particularly in clinical omics applications. We underscore the need for using broadly framed, critical, independent, social and political science, and humanities research so as to understand the multiple possible future trajectories of, and the motivations and values embedded in, precision biobanking that is increasingly relevant in the current age of Big Data.

摘要

研究数据和结果在不同人群和个体之间确实存在差异,但这并不总是由于实验或真实的生物学变异所致。实验的分析前成分,无论是生物样本的获取、准备、储存还是运输到实验室,都可能导致研究数据、结果和解释的明显变异性。本综述文章和生物库创新分析提供了新的见解,总结了分析前变量,例如血液采集管的类型、离心条件、长期样本储存温度和时间,对血液衍生生物样本的组学分析结果的影响:全血、血清、血浆、白细胞层和外周血单核细胞。此外,我们在本研究中从精准医学领域汲取了经验,展望了“精准生物库”的未来,其中将仔细考虑这些分析前的变化,以尽量减少它们对组学数据、分析和解释的影响,特别是在临床组学应用中。我们强调需要使用广泛的、批判性的、独立的、社会和政治科学以及人文学科研究,以了解精准生物库的多种可能未来轨迹,以及其中所蕴含的动机和价值观,这在大数据时代变得越来越重要。

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