Gu Qiang, Yu Li-Rong
Division of Systems Biology, National Center for Toxicological Research, Food and Drug Administration, USA.
Division of Systems Biology, National Center for Toxicological Research, Food and Drug Administration, USA.
J Proteomics. 2014 Jan 16;96:353-9. doi: 10.1016/j.jprot.2013.11.024. Epub 2013 Dec 4.
Proteomics has emerged as a rapidly expanding field dealing with large-scale protein analyses. It is anticipated that proteomics data will be increasingly submitted to the U.S. Food and Drug Administration (FDA) for biomarker qualification or in conjunction with applications for the approval of drugs, medical devices, and other FDA-regulated consumer products. To date, however, no established guideline has been available regarding the generation, submission and assessment of the quality of proteomics data that will be reviewed by regulatory agencies for decision making. Therefore, this commentary is aimed at provoking some thoughts and debates towards developing a framework which can guide future proteomics data submission. The ultimate goal is to establish quality control standards for proteomics data generation and evaluation, and to prepare government agencies such as the FDA to meet future obligations utilizing proteomics data to support regulatory decision.
蛋白质组学已成为一个迅速发展的领域,致力于大规模蛋白质分析。预计蛋白质组学数据将越来越多地提交给美国食品药品监督管理局(FDA),用于生物标志物鉴定,或与药物、医疗器械及其他受FDA监管的消费品的审批申请一并提交。然而,迄今为止,对于监管机构在决策时将审查的蛋白质组学数据的生成、提交和质量评估,尚无既定的指导方针。因此,本评论旨在引发一些思考和讨论,以制定一个能够指导未来蛋白质组学数据提交的框架。最终目标是建立蛋白质组学数据生成和评估的质量控制标准,并使FDA等政府机构做好准备,利用蛋白质组学数据履行未来支持监管决策的义务。