切换至 "中华医学电子期刊资源库"

中华临床实验室管理电子杂志 ›› 2017, Vol. 05 ›› Issue (01) : 24 -29. doi: 10.3877/cma.j.issn.2095-5820.2017.01.007

所属专题: 文献

专题笔谈

生物样本库的信息化管理与信息应用
王伟业1,(), 周君梅2, 蔡珍珍1   
  1. 1. 200090 上海交通大学医学院附属新华医院环境与儿童健康上海市和教育部重点实验室
    2. 200040 上海市儿童医院中心实验室和生物样本库
  • 收稿日期:2017-02-10 出版日期:2017-02-28
  • 通信作者: 王伟业
  • 基金资助:
    科技部多中心临床研究信息共享平台中加合作研发项目课题(2014DFG31460); 上海市卫计委重点课题(201540389)

Biobank information management and sample annotation for usability

Weiye Wang1,(), Junmei Zhou2, Zhenzhen Cai1   

  1. 1. The Ministry of Education-Shanghai Key Laboratory of Children′s Environmental Health, Biobank and Biospecimen Research, Xinhua Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai 200090, China
    2. Shanghai Children′s Hospital, Central Laboratory and Biobank, Shanghai 200040, China
  • Received:2017-02-10 Published:2017-02-28
  • Corresponding author: Weiye Wang
  • About author:
    Corresponding author: Wang Weiye, Email:
引用本文:

王伟业, 周君梅, 蔡珍珍. 生物样本库的信息化管理与信息应用[J]. 中华临床实验室管理电子杂志, 2017, 05(01): 24-29.

Weiye Wang, Junmei Zhou, Zhenzhen Cai. Biobank information management and sample annotation for usability[J]. Chinese Journal of Clinical Laboratory Management(Electronic Edition), 2017, 05(01): 24-29.

生物样本库的信息化管理与信息应用是生物样本库建设阶段中必不可少的两大元素,其重要作用也必将贯穿生物样本库发展与应用的全过程。中国生物样本库建设与发展是从认识改变到改变现实的发展历程,随着生物样本量的快速积累,由于缺乏对生物样本的认识,使样本应用成为一大难题。因此,了解生物样本性能和特征,才能解决是否适合科研需要和如何应用样本这两个关键问题,而保证生物样本质量、信息注释和样本应用三者相辅相成的关键点是信息化管理生物样本库。

How to apply information management system to track and manage entire workflow-driven procedure of sample collection, processing, storage and distribution, and how to characterize biological samples with associated information, are two imperative components of best operation and management in a biobank. Moving from concept to practice, biobanking in China has survived several challenges when researchers first realized the quality of stored samples could have great impact on the quality of research, followed by facing the challenge that banked samples have limited usability. That is the third issue since samples lack annotation with associated information from clinical and other resources. This issue challenges scientists to determine if samples are appropriate for answering a given scientific questions. It turns out to be a waste of time and money by banking large accumulation of samples if the issues are not solved. Sample holds little value itself without associated clinical and other information. It is only a transit form before the biological data reflecting health or disease status can be extracted throughout multiple ways. By following the biomarkers and related indicators in samples, scientists can discover the dynamic changing set from health to disease, followed by recovery after treatment or medical intervention. It is an important role and aim of a biobank to maximize the value of biological samples. To do so, it is essential to fully utilize banked samples appropriately to extract the value it holds. It is a must to know samples in term of biological sense. Therefore, quality, annotation and usability become three key elements in term of effective and efficient values of a biobank. In summary, information management and sample annotation would be the key to the quality and valuable resources for research.

表1 生物样本库信息化管理的基本概念与职责
图1 生物样本库信息化管理工作流程图
图2 生物样本信息注释工作流程图
1
Quinlan PR, Martin G, Jordan LB, et al. The informatics challenges facing biobanks: a perspective from a United Kingdom Biobanking Network[J]. Biopreserv Biobank, 2015,13(5):363-370.
2
Quinlan PR, Mistry G, Bullbeck H, et al. A data standard for sourcing fit-for-purpose biological samples in an integrated virtual network of biobanks[J]. Biopreserv Bioban, 2014,12(3):184-191.
3
Reed W, Jor S, Bjugn R, et al. How can clinical biobanks and patient information be adapted for research - establishing a hospital based data warehouse solution[J]. Norsk Epidemiologi, 2012,21(2):191-194.
4
Adamusiak T, Shimoyama M. EHR-based phenome wide association study in pancreatic cancer[J]. AMIA Jt Summits TranslSci Proc, 2014,2014:9-15.
5
Sweet K, Sturm AC, Schmidlen T, et al. EMR documentation of physician-patient communication following genomic counseling for actionable complex disease and pharmacogenomic results[J]. Clin Genet, 2016 [Epud ahead of print].
6
Felmeister AS, Masino AJ, Rivera TJ, et al. The biorepository portal toolkit: an honest brokered, modular service oriented software tool set for biospecimen-driven translational research[J]. BMC Genomics, 2016,17suppl 4:434.
7
Hayman GT, Laulederkind SJF, Smith JR, et al. The Disease Portals, disease–gene annotation and the RGD disease ontology at the Rat Genome Database[J]. Database(Oxfoed), 2016,2016.pii:baw034
8
Gostev M, Fernandez-Banet J, Rung J, et al. SAIL--a software system for sample and phenotype availability across biobanks and cohorts[J]. Bioinformatics, 2011,27(4):589-591.
9
吴美琴,吴宇航,赵丽, 等. 多中心间的协同性决定队列生物样本的一致性[J]. 中国医药生物技术, 2015,10:489-493.
10
周光迪,吴美琴,赵丽, 等. 中国和加拿大合作出生队列研究数据统一及共享方法[J]. 中国医药生物技术, 2015,10:494-497.
11
王伟业. 浅谈临床电子化信息应用于临床研究的可行性[J/CD]. 中华临床实验室管理电子杂志, 2015,3:193-197.
[1] 王丽萍, 吕芳, 李雪丽, 潘宇, 吕晓芹, 何笑, 王力, 张晓梅. 多囊卵巢综合征患者卵泡液长链非编码RNA基因表达谱研究[J]. 中华妇幼临床医学杂志(电子版), 2018, 14(01): 77-84.
[2] 陈晓曼, 张海波, 薛曼婕, 魏波, 邵军, 韩晓燕. -80℃低温保藏对结直肠癌血浆miRNA标志物的影响[J]. 中华普通外科学文献(电子版), 2023, 17(01): 24-27.
[3] 薛曼婕, 魏波, 陈斯乐, 谢朗, 邹妞, 卫洪波, 韩晓燕. 胃肠肿瘤生物样本库信息共享平台数据元目录分类框架体系的构建[J]. 中华普通外科学文献(电子版), 2022, 16(01): 32-36.
[4] 王丽霞, 粱锌, 葛玉龙, 欧阳超珩. 肿瘤专科医院特需门诊信息化管理与患者就诊满意度相关性研究[J]. 中华结直肠疾病电子杂志, 2021, 10(04): 441-444.
[5] 余其澳, 宋欢, 汪晓东, 李立. 英国生物样本库(UK Biobank)在结直肠癌临床研究中的应用[J]. 中华结直肠疾病电子杂志, 2021, 10(04): 351-356.
[6] 王一, 吴小倩, 黄伟芳, 裴斌, 尚芳, 孔德松, 王小峰, 朱勇, 姚航, 刘飞, 樊志敏. 结直肠癌类器官生物样本库的建立和应用研究进展[J]. 中华结直肠疾病电子杂志, 2021, 10(03): 302-305.
[7] 于洋, 王贵玉. 标准化结直肠肿瘤生物样本库的建立、管理及质量控制的经验探讨[J]. 中华结直肠疾病电子杂志, 2018, 07(02): 167-171.
[8] 周世一, 程雅婷, 江真君, 文国学, 刘勇. 基于开源生物样本库信息管理平台的网络化建设[J]. 中华临床实验室管理电子杂志, 2020, 08(01): 48-53.
[9] 蒋雪莉, 李慧, 柳菁菁, 张琳娜, 李文秀, 姚洁, 程颖. 恶性肿瘤生物样本信息数据库的构建及应用[J]. 中华临床实验室管理电子杂志, 2019, 07(03): 184-189.
[10] 王丽萍, 居益君, 唐万, 崔有文, 毛睿, 鲁军, 金鑫, 潘云龙. 运用PDCA循环 强化生物样本库信息管理的探讨[J]. 中华临床实验室管理电子杂志, 2017, 05(04): 232-235.
[11] 戴涵清, 俞磊, 李艺, 陆胜, 职庭帆, 杨光, 周学迅, 王雪琦. 自动化存储管理系统在生物样本库领域的应用及展望[J]. 中华临床实验室管理电子杂志, 2017, 05(01): 46-50.
[12] 郭丹, 王安琪, 孙健, 徐英春. 浅谈生物样本的质量保证与质量控制[J]. 中华临床实验室管理电子杂志, 2017, 05(01): 36-45.
[13] 史晓红, 郭健. 国际生物样本库的发展现状[J]. 中华临床实验室管理电子杂志, 2017, 05(01): 19-23.
[14] 翟培军, 李军燕, 胡冬梅, 周亚莉, 白倞怿, 张小燕, 郜恒骏. 生物样本库国际认可和标准化发展与前景[J]. 中华临床实验室管理电子杂志, 2017, 05(01): 6-8.
[15] 杨宁琍, 花红霞, 林睿, 梁辉. 基于生态瞬时评估的减重代谢术后患者信息化体重管理模式构建及应用[J]. 中华肥胖与代谢病电子杂志, 2023, 09(01): 17-21.
阅读次数
全文


摘要