Lombardo Tina, Dotti Silvia, Villa Riccardo, Cinotti Stefano, Ferrari Maura
Cell Culture Centre, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna (IZSLER), Brescia, Italy.
Methods Mol Biol. 2015;1247:43-60. doi: 10.1007/978-1-4939-2004-4_4.
Biobanking is an essential tool for ensuring easy availability of high-quality biomaterial collections that combine essential samples and epidemiological, clinical, and research data for the scientific community. Specimen collection is an integral part of clinical research. Indeed, every year throughout the world, millions of biological samples are stored for diagnostics and research, but in many fields the lack of biological material and models is a major hindrance for ongoing research. A biobank facility provides suitable samples for large-scale screening studies and database repositories. Software dedicated to biological banks simplify sample registration and identification, the cataloging of sample properties (type of sample/specimen, associated diseases and/or therapeutic protocols, environmental information, etc.), sample tracking, quality assurance, and specimen availability characterized by well-defined features. Biobank facilities must adopt good laboratory practices (GLPs) and a stringent quality control system and also comply with ethical issues, when required. The creation of a veterinary network can be useful under different aspects: the first one is related to the importance of animal sciences itself to improve research and strategies in the different branches of the veterinary area, and the second aspect is related to the possibility of data management harmonization to improve scientific cooperation.
生物样本库是确保高质量生物材料库易于获取的重要工具,这些生物材料库将基本样本与流行病学、临床和研究数据相结合,供科学界使用。样本采集是临床研究不可或缺的一部分。事实上,全世界每年都有数以百万计的生物样本被储存用于诊断和研究,但在许多领域,生物材料和模型的缺乏是当前研究的主要障碍。生物样本库设施为大规模筛查研究和数据库存储库提供合适的样本。专门用于生物样本库的软件简化了样本登记和识别、样本属性编目(样本/标本类型、相关疾病和/或治疗方案、环境信息等)、样本跟踪、质量保证以及具有明确特征的标本可用性。生物样本库设施必须采用良好实验室规范(GLP)和严格的质量控制系统,并在需要时遵守伦理问题。建立兽医网络在不同方面可能会很有用:第一个方面与动物科学本身对改进兽医领域不同分支的研究和策略的重要性有关,第二个方面与数据管理协调以改善科学合作的可能性有关。