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本文引用的文献

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Evaluation of serum microRNA biomarkers for gastric cancer based on blood and tissue pools profiling: the importance of miR-21 and miR-331.基于血液和组织样本分析评估胃癌血清微小RNA生物标志物:miR-21和miR-331的重要性
Br J Cancer. 2017 Jul 11;117(2):266-273. doi: 10.1038/bjc.2017.190. Epub 2017 Jun 22.
2
Circulating miRNA-21-5p as a diagnostic biomarker for pancreatic cancer: evidence from comprehensive miRNA expression profiling analysis and clinical validation.循环 miRNA-21-5p 作为胰腺癌的诊断生物标志物:来自综合 miRNA 表达谱分析和临床验证的证据。
Sci Rep. 2017 May 10;7(1):1692. doi: 10.1038/s41598-017-01904-z.
3
A novel serum microRNA-based identification and classification biomarker of human glioma.一种基于血清微小RNA的新型人脑胶质瘤鉴定与分类生物标志物。
Tumour Biol. 2017 May;39(5):1010428317705339. doi: 10.1177/1010428317705339.
4
miRNA Regulation in Gliomas: Usual Suspects in Glial Tumorigenesis and Evolving Clinical Applications.胶质瘤中的miRNA调控:胶质肿瘤发生中的常见因素及不断发展的临床应用
J Neuropathol Exp Neurol. 2017 Apr 1;76(4):246-254. doi: 10.1093/jnen/nlx005.
5
Toward the promise of microRNAs - Enhancing reproducibility and rigor in microRNA research.迈向微小RNA的前景——提高微小RNA研究的可重复性和严谨性。
RNA Biol. 2016 Nov;13(11):1103-1116. doi: 10.1080/15476286.2016.1236172. Epub 2016 Sep 19.
6
Specific miRNA Disease Biomarkers in Blood, Serum and Plasma: Challenges and Prospects.血液、血清和血浆中的特定miRNA疾病生物标志物:挑战与前景
Mol Diagn Ther. 2016 Dec;20(6):509-518. doi: 10.1007/s40291-016-0221-4.
7
miEAA: microRNA enrichment analysis and annotation.miEAA:微小RNA富集分析与注释
Nucleic Acids Res. 2016 Jul 8;44(W1):W110-6. doi: 10.1093/nar/gkw345. Epub 2016 Apr 29.
8
Cohort Profile: The Janus Serum Bank Cohort in Norway.队列简介:挪威的雅努斯血清银行队列。
Int J Epidemiol. 2017 Apr 1;46(2):403-404g. doi: 10.1093/ije/dyw027.
9
MicroRNA-144 is unlikely to play a role in bronchiolitis obliterans syndrome.微小RNA-144不太可能在闭塞性细支气管炎综合征中发挥作用。
J Heart Lung Transplant. 2016 Apr;35(4):543-4. doi: 10.1016/j.healun.2016.01.022. Epub 2016 Mar 3.
10
Distribution of miRNA expression across human tissues.微小RNA在人体组织中的表达分布。
Nucleic Acids Res. 2016 May 5;44(8):3865-77. doi: 10.1093/nar/gkw116. Epub 2016 Feb 25.

循环 miRNA 特征变异性的来源。

Sources to variability in circulating human miRNA signatures.

机构信息

a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.

b Cancer Registry of Norway , Institute of Population-based Cancer Research , Oslo , Norway.

出版信息

RNA Biol. 2017 Dec 2;14(12):1791-1798. doi: 10.1080/15476286.2017.1367888. Epub 2017 Sep 13.

DOI:10.1080/15476286.2017.1367888
PMID:28820329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5731815/
Abstract

An increasing number of studies propose circulating microRNAs (miRNAs) as biomarkers for a large number of human diseases including cancer, cardiovascular diseases, neurologic pathologies and others. To further validate miRNA as biomarkers it is indispensable to understand the variability of circulating miRNAs in healthy individuals. We determined the longitudinal miRNomes of 90 serum samples from the Janus Serum Bank in Norway, which have been stored between 23 and 40 y at -25 °Celsius. We profiled 3 serum samples with microarrays for 30 individuals, each. For each individual the samples were collected with a time interval of approximately 5 y. This design allowed insights into inter-individual variability, age dependent miRNA variability and the impact of storage length and pre-processing. A significant proportion of the miRNome was affected by the age of the blood donor and a not negligible, albeit small, part of the miRNome by the storage time. A substantial part of miRNAs was differentially abundant between individuals, independent of the time when samples were collected. Stepwise filtering of the 529 miRNAs that were detected in the serum samples showed 168 miRNAs with differential abundance depending on the time point analyzed, 56 miRNAs differentially abundant between individuals, and 169 miRNAs with an abundance depending on the sampling procedure. While these groups of miRNAs contain generally interesting and biologically important miRNAs, the remaining 135 miRNAs constitute very promising biomarker candidates as they show an overall low variability between healthy individuals, a likewise overall low variability across a longer life span, and a high independence of the sampling process and the storage length.

摘要

越来越多的研究提出循环 microRNAs(miRNAs)可作为包括癌症、心血管疾病、神经病理学等在内的多种人类疾病的生物标志物。为了进一步验证 miRNA 作为生物标志物的可行性,了解健康个体中循环 miRNAs 的变异性是必不可少的。我们确定了来自挪威 Janus 血清库的 90 份血清样本的纵向 miRNomes,这些样本在-25°C 下储存了 23 到 40 年。我们使用微阵列对 30 个人中的 3 个血清样本进行了分析。对于每个人,样本的采集时间间隔约为 5 年。这种设计使我们能够深入了解个体间的变异性、年龄相关的 miRNA 变异性以及储存时间和预处理的影响。miRNome 的很大一部分受献血者年龄的影响,而 miRNome 的一小部分(虽然微不足道)则受储存时间的影响。相当一部分 miRNA 在个体之间存在差异丰度,而与样本采集时间无关。对在血清样本中检测到的 529 个 miRNA 进行逐步过滤,显示出 168 个 miRNA 随分析的时间点而存在差异丰度,56 个 miRNA 在个体之间存在差异丰度,169 个 miRNA 的丰度取决于采样程序。虽然这些 miRNA 组包含一般有趣且具有生物学意义的 miRNA,但其余 135 个 miRNA 构成了非常有前途的生物标志物候选物,因为它们在健康个体之间表现出总体较低的变异性,在更长的寿命跨度内也表现出总体较低的变异性,并且采样过程和储存长度的独立性很高。