Regenerative Medicine Manufacturing Society (RMMS) is partnering with STEM CELLS Translational Medicine to build a freely accessible collection of shared resources across three areas: models; cell therapies; and technologies. These resources will bring together the scientific community and highlight how the field of regenerative medicine is uniquely positioned to fight the COVID-19 pandemic.


Featured Articles - May 10, 2021


Protecting islet functional viability using mesenchymal stromal cells
Ella L. Hubber, et al., STEM CELLS Translational Medicine


Understanding how mesenchymal stromal cells respond to and protect islets damaged by transplantation‐related stressors will facilitate the development of mesenchymal stromal cell secretome‐based, cell‐free approaches to supporting islet graft function during transplantation therapy for type 1 diabetes by protecting or repairing β cells.



Engineering‐inspired approaches to study β‐cell function and diabetes
Phillip L. Lewis, et al., STEM CELLS


While superficially a disease of insulin secretion and sugar metabolism, the deeper complexities of diabetes necessitate advanced engineered strategies to uncover new treatment approaches. In vitro models of β‐cells and insulin secretion in a human‐specific context have therefore emerged as powerful tools to study diabetes. This article reports several advances including different sources of insulin‐secreting cells, organ‐on‐a‐chip models, and high throughput strategies designed to deepen our understanding of β‐cell biology and to better treat disease.


Article Scans

iNCC-derived mesenchymal progenitor cells may represent an exciting alternative to bone marrow-derived mesenchymal stem cells as a component of cranial bone repair strategies

New findings deepen our understanding of olfactory stem cell niche signaling that may improve autologous olfactory stem cell transplantation approaches

New research highlights a crucial role for local cues from distinct blood vessels in the spatial organization of definitive myeloid differentiation