Large scale biobanking of blood - The importance of high density sample processing procedures
Large scale biobanking of blood - The importance of high density sample processing procedures
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DOI：
10.1016/j.jprot.2012.05.003
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发表时间：
2012-12-05
影响因子：
3.3
通讯作者：
Marko-Varga, Gyorgy
中科院分区：
文献类型：
--
作者：
Malm, Johan;Vegvari, Akos;Marko-Varga, Gyorgy
目的：本研究的目的是为未来的蛋白质组学和临床研究提供一种新的自动化样品处理概念，从各种疾病领域的血液成分中进行患者研究。另一个目的是小样本量的生物库存储，其中每个样本等分试样可用于一个专门的临床分析和终点测量，以保持样品的完整性和价值随着时间的推移，Methods：96和384格式的样品存储管系统被用于保存和存档的临床患者样本。使用机器人液体处理仪器实现自动化样品处理和等分，然后进行生物标志物测定定量。Nautilus LIMS记录和跟踪样品工作流程。结果：通过重复处理和分析进行的验证证实了自动化高密度384格式等分的可靠性。这种高密度缩放允许70 μ L血液体积的可重复等分。含有EDTA、肝素锂和柠檬酸盐作为抗凝剂的血浆，与血沉棕黄层（白细胞）和红细胞组分一起沿着分离。对11，000份样本进行大规模处理，结果实现了99.8%的流程完成率。结论：我们的结果表明，通过对全球日常医疗保健中使用的23种常见标志物进行定量，可以从自动化样本处理策略（分离血浆、血沉棕黄层、红细胞、血清和全血）中生成稳健的结果。综合omics (C)2012爱思唯尔有限公司版权所有。
Objective: The aim of this study is a novel automated sample-processing concept for future proteomics and clinical research, performing patient studies from resulting blood fractions in various disease areas. Another aim is biobank storage of small sample volumes, where each sample aliquot can be used for a dedicated clinical analysis and end-point measurement in order to preserve sample integrity and value over time.Methods: 96 and 384 format sample storage tube systems were utilized for preservation and archiving of clinical patient samples. Automated sample processing and aliquoting were achieved using robotic liquid handling instrumentation, followed by biomarker assay quantitations. Sample workflow was documented and tracked by Nautilus LIMS.Results: Validation by repetitive processing and analysis confirmed the reliability of automated high density 384 format aliquoting. This high density scaling allows for reproducible aliquoting of 70-mu L volumes of blood. Plasma with EDTA, Li-heparin, and citrate, as anti-coagulants, fractioned along with the buffy coat (leukocytes) and the erythrocyte fraction. Large scale processing of 11,000 sample aliquots resulted in a 99.8% process fulfillment.Conclusion: Our results demonstrate that robust results can be generated from an automated sample processing strategy, isolating plasma, buffy coat, erythrocytes, serum and whole blood, proven by quantitation of 23 common markers used in everyday healthcare around the world.This article is part of a Special Issue entitled: Integrated omics. (C) 2012 Elsevier B.V. All rights reserved.