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Updated: Apr 5, 2026

Mouse Kidney Transplantation: Models of Allograft Rejection
Published on: October 11, 2014
Computational Biology: Modeling Chronic Renal Allograft Injury
Mark D Stegall1, Richard Borrows2
1Department of Surgery, von Liebig Transplant Center, Mayo Clinic , Rochester, MN , USA.
Abstract:
New approaches are needed to develop more effective interventions to prevent long-term rejection of organ allografts. Computational biology provides a powerful tool to assess the large amount of complex data that is generated in longitudinal studies in this area. This manuscript outlines how our two groups are using mathematical modeling to analyze predictors of graft loss using both clinical and experimental data and how we plan to expand this approach to investigate specific mechanisms of chronic renal allograft injury.
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Kidney Transplant I: Introduction
Kidney Transplant II: Surgical Procedure
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