The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology
- PMID: 35924446
- PMCID: PMC9485002
- DOI: 10.1152/ajprenal.00091.2022
The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology
Abstract
Research on kidney diseases is being transformed by the rapid expansion and innovations in omics technologies. The analysis, integration, and interpretation of big data, however, have been an impediment to the growing interest in applying these technologies to understand kidney function and failure. Targeting this urgent need, the University of Michigan O'Brien Kidney Translational Core Center (MKTC) and its Administrative Core established the Applied Systems Biology Core. The Core provides need-based support for the global kidney community centered on enabling incorporation of systems biology approaches by creating web-based, user-friendly analytic and visualization tools, like Nephroseq and Nephrocell, guiding with experimental design, and processing, analysis, and integration of large data sets. The enrichment core supports systems biology education and dissemination through workshops, seminars, and individualized training sessions. Meanwhile, the Pilot and Feasibility Program of the MKTC provides pilot funding to both early-career and established investigators new to the field, to integrate a systems biology approach into their research projects. The relevance and value of the portfolio of training and services offered by MKTC are reflected in the expanding community of young investigators, collaborators, and users accessing resources and engaging in systems biology-based kidney research, thereby motivating MKTC to persevere in its mission to serve the kidney research community by enabling access to state-of-the-art data sets, tools, technologies, expertise, and learning opportunities for transformative basic, translational, and clinical studies that will usher in solutions to improve the lives of people impacted by kidney disease.
Keywords: acute kidney injury; chronic kidney disease; diabetic kidney disease; metabolomics; systems biology.
Conflict of interest statement
M.K. reports grants and contracts outside the submitted work through the University of Michigan with NIH, Chan Zuckerberg Initiative, JDRF, AstraZeneca, NovoNordisk, Eli Lilly, Gilead, Goldfinch Bio, Janssen, Boehringer-Ingelheim, Moderna, European Union Innovative Medicine Initiative, Certa, Chinook, amfAR, Angion, RenalytixAI, Travere, Regeneron, and IONIS; consulting fees through the University of Michigan from Astellas, Poxel, Janssen, and UCB; and a patent, PCT/EP2014/073413 “Biomarkers and methods for progression prediction for chronic kidney disease,” licensed. D.S.G. reports grants outside of this work from Travere Therapeutics, Reata, Goldfinch Bio, Novartis, and Boehringer Ingelheim and serves on advisory or consultancy through the University of Michigan with Roche, Genentech, Astra-Zeneca, and Vertex. None of the other authors has any conflicts of interest, financial or otherwise, to disclose.
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