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迈向干细胞研究数据的智能整合与共享

Towards Intelligent Integration and Sharing of Stem Cell Research Data.

作者信息

Borziak Kirill, Qi Tianye, Evangelista John Erol, Clarke Daniel J B, Ma'ayan Avi, Finkelstein Joseph

机构信息

Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.

出版信息

Stud Health Technol Inform. 2020 Jun 26;272:334-337. doi: 10.3233/SHTI200563.

Abstract

Advancements in regenerative medicine have brought to the fore the need for increased standardization and sharing of stem cell product characterization to help drive these innovative interventions toward public availability. Although numerous attempts have been made to store this data, there is still a lack of a platform that incorporates heterogeneous stem cell information into a harmonized project-based framework. The aim of this project was to introduce and pilot-test an intelligent informatics solution which integrates diverse stem cell product characteristics with study subject and omics information. In the resulting platform, heterogeneous data is validated using predefined ontologies and stored in a NoSQL repository. Pilot-testing was performed on nine sponsored stem cell projects conducting preclinical and intervention evaluations. The pilot-testing demonstrated the robustness of the proposed platform, by seamlessly harmonizing diverse common data elements, and the potential of this platform for driving knowledge generation from the aggregation of this shared data.

摘要

再生医学的进步凸显了对提高干细胞产品特性标准化和共享的需求,以推动这些创新干预措施走向公众可及。尽管已经多次尝试存储这些数据,但仍然缺乏一个将异质性干细胞信息整合到基于项目的统一框架中的平台。本项目的目的是引入并试点测试一种智能信息学解决方案,该方案将不同的干细胞产品特性与研究对象和组学信息整合在一起。在生成的平台中,异质性数据使用预定义的本体进行验证,并存储在一个非关系型数据库中。对九个开展临床前和干预评估的赞助干细胞项目进行了试点测试。试点测试通过无缝协调各种通用数据元素,证明了所提议平台的稳健性,以及该平台从这些共享数据聚合中推动知识生成的潜力。

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