Performance in omics analyses of blood samples in long-term storage: opportunities for the exploitation of existing biobanks in environmental health research.

Performance in omics analyses of blood samples in long-term storage: opportunities for the exploitation of existing biobanks in environmental health research.
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DOI:
10.1289/ehp.1205657
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发表时间:
2013-04
影响因子:
10.4
通讯作者:
EnviroGenomarkers Project Consortium
EnviroGenomarkers Project Consortium
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Hebels DG;Georgiadis P;Keun HC;Athersuch TJ;Vineis P;Vermeulen R;Portengen L;Bergdahl IA;Hallmans G;Palli D;Bendinelli B;Krogh V;Tumino R;Sacerdote C;Panico S;Kleinjans JC;de Kok TM;Smith MT;Kyrtopoulos SA;EnviroGenomarkers Project Consortium

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背景:对过去几十年收集的、目前储存在生物库中的生物样品进行组学分析的适用性尚不清楚。目的:我们评估了血液来源生物样本的处理和储存条件对转录组学、表观基因组学(CpG甲基化)、血浆代谢组学[UPLC-ToFMS(超高效液相色谱-飞行时间质谱)]和宽靶蛋白质组学图谱的影响。研究方法:我们采集了肝素、EDTA或柠檬酸盐中不含RNA防腐剂的新鲜血液样本,并将其在室温下保存≤ 24小时,然后将其分离为血沉棕黄层、红细胞和血浆,并将这些组分在-80 ° C或液氮中冷冻。我们开发了从血沉棕黄层中分离RNA的方法并进行了组学分析。最后,我们分析了来自EPIC-意大利和北方瑞典健康和疾病研究生物库的类似样本。结果如下:通过在RNA防腐剂中解冻样本,可以从血液采集后8小时内冷冻的血沉棕黄层(包括大多数生物样本库样本)中分离出微阵列质量的RNA。不同的抗凝剂影响代谢组学,蛋白质组学,并在较小程度上转录谱。转录谱受血液分离前延迟(少至2小时)的影响最大,而储存温度的影响最小。在采集后≥ 8 h处理的样本中观察到对代谢组学和蛋白质组学特征的影响,但储存温度未引起影响。所检查的变量均未显著影响表观基因组图谱。在储存13-17年的样品中未观察到储存时间的系统性影响。结论:目前储存在生物库中的大多数样本都适合进行有意义的组学分析,前提是它们满足本研究中定义的收集和储存标准。
Background: The suitability for omic analysis of biosamples collected in previous decades and currently stored in biobanks is unknown. Objectives: We evaluated the influence of handling and storage conditions of blood-derived biosamples on transcriptomic, epigenomic (CpG methylation), plasma metabolomic [UPLC-ToFMS (ultra performance liquid chromatography–time-of-flight mass spectrometry)], and wide-target proteomic profiles. Methods: We collected fresh blood samples without RNA preservative in heparin, EDTA, or citrate and held them at room temperature for ≤ 24 hr before fractionating them into buffy coat, erythrocytes, and plasma and freezing the fractions at –80oC or in liquid nitrogen. We developed methodology for isolating RNA from the buffy coats and conducted omic analyses. Finally, we analyzed analogous samples from the EPIC-Italy and Northern Sweden Health and Disease Study biobanks. Results: Microarray-quality RNA could be isolated from buffy coats (including most biobank samples) that had been frozen within 8 hr of blood collection by thawing the samples in RNA preservative. Different anticoagulants influenced the metabolomic, proteomic, and to a lesser extent transcriptomic profiles. Transcriptomic profiles were most affected by the delay (as little as 2 hr) before blood fractionation, whereas storage temperature had minimal impact. Effects on metabolomic and proteomic profiles were noted in samples processed ≥ 8 hr after collection, but no effects were due to storage temperature. None of the variables examined significantly influenced the epigenomic profiles. No systematic influence of time-in-storage was observed in samples stored over a period of 13–17 years. Conclusions: Most samples currently stored in biobanks are amenable to meaningful omics analysis, provided that they satisfy collection and storage criteria defined in this study.
DOI: 10.1186/1471-2199-7-3
发表时间: 2006-01-31
影响因子: --
作者:
Schroeder A;Mueller O;Stocker S;Salowsky R;Leiber M;Gassmann M;Lightfoot S;Menzel W;Granzow M;Ragg T
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DOI: 10.1289/ehp.7199
发表时间: 2004-12
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DOI: 10.1016/j.vascn.2008.10.003
发表时间: 2009-01-01
影响因子: 1.9
作者:
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通讯作者: Heubach, Juergen F.
DOI: 10.1021/ac8019366
发表时间: 2009-02-15
影响因子: 7.4
作者:
Zelena, Eva;Dunn, Warwick B.;Kellt, Douglas B.
通讯作者: Kellt, Douglas B.
DOI: 10.1186/1471-2105-10-354
发表时间: 2009-10-27
期刊: BMC bioinformatics
影响因子: 3
作者:
Chatziioannou A;Moulos P;Kolisis FN
通讯作者: Kolisis FN