Abstract
Recent regenerative medicine studies have emphasized the need for increased standardization, harmonization and sharing of information related to stem cell product characterization, to help drive these innovative interventions toward public availability and to increase collaboration in the scientific community. Although numerous attempts and numerous databases have been made to manage these data, a platform that incorporates all the heterogeneous data collected from stem cell projects into a harmonized project-based framework is still lacking. The aim of the database, which is described in this study, is to provide an intelligent informatics solution that integrates comprehensive characterization of diverse stem cell product characteristics with research subject and project outcome information. In the resulting platform, heterogeneous data are validated using predefined ontologies and stored in a relational database, to ensure data quality and ease of access. Testing was performed using 51 published, publically available induced pluripotent stem cell projects conducted in clinical, preclinical and in-vitro evaluations. Future aims of this project include further increasing the database size to include all published stem cell trials and develop additional data visualization tools to improve usability. Our 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 and harmonization of these diverse data.Database URL https://remedy.mssm.edu/
Highlights
Recent regenerative medicine studies have emphasized the need for increased standardization, harmonization and sharing of information related to stem cell product characterization, to help drive these innovative interventions toward public availability and to increase collaboration in the scientific community
Given the public availability of all data contained within ReMeDy, it is freely accessible with no password or registration required
ReMeDy provides common data elements (CDEs) characterizing the patients, animal models and cell lines under investigation in induced pluripotent stem cell (iPSC) studies and their research findings. This new data resource has the potential to provide a unique opportunity to generate novel insights into the current state of iPSC research. By accessing this wealth of information in a harmonized, structured database, we aim to enable other researchers to gain a better understanding of the current landscape of iPSC and regenerative medicine research, provide insight into the best practices for generating iPSC and differentiated cell lines and provide information to help foster collaboration
Summary
Recent regenerative medicine studies have emphasized the need for increased standardization, harmonization and sharing of information related to stem cell product characterization, to help drive these innovative interventions toward public availability and to increase collaboration in the scientific community. Testing was performed using 51 published, publically available induced pluripotent stem cell projects conducted in clinical, preclinical and in-vitro evaluations Future aims of this project include further increasing the database size to include all published stem cell trials and develop additional data visualization tools to improve usability. Regenerative medicine is a promising therapeutic field, nisms This innovative research includes stem cell therapies which aims at treatment, repair and replacement of injured advancements, such as induced pluripotent stem cell (iPSC). Based on the necessity for stem cell data to be homogenously organized, deposited and visualized, we created Regenerative Medicine Data Repository (ReMeDy) platform [2], which can be publically accessed at https://remedy.mssm.edu/. ReMeDy is a unique repository, which allows the systematical collection and sharing of in-vitro findings and pre-clinical and clinical trial outcomes by using multi-modal common data elements (CDEs) framework, designed to include an essential set of CDEs, allowing the detailed comparisons across studies
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