UCSF

Hypoxia plays a crucial role in cell physiology. Defining the oxygen level that induces cell death within 3D tissues is vital for understanding tissue hypoxia; however, obtaining accurate measurements has been technically challenging. In this study, we introduce a non-invasive, high-throughput methodology to quantify critical survival partial oxygen pressure (pO₂) with high spatial resolution within spheroids by employing a combination of controlled hypoxic conditions, semi-automated live/dead cell imaging, and computational oxygen modeling. The oxygen-permeable, micro-pyramid patterned culture plates created a precisely controlled oxygen condition around the individual spheroid. Live/dead cell imaging provided the geometric information of the live/dead boundary within spheroids. Finally, computational oxygen modeling calculated the pO₂ at the live/dead boundary within spheroids. As proof of concept, we determined the critical survival pO₂ in two types of spheroids: isolated primary pancreatic islets and tumor-derived pseudo-islets (2.43 ± 0.08 vs. 0.84 ± 0.04 mmHg), indicating higher hypoxia tolerance in pseudo-islets due to their tumorigenic origin. We also applied this method for evaluating graft survival in cell transplantations for diabetes therapy, where hypoxia is a critical barrier to successful transplantation outcomes; thus, designing oxygenation strategies is required. Based on the elucidated critical survival pO₂, 100% viability could be maintained in a typically sized primary islet under the tissue pO₂ above 14.5 mmHg. This work presents a valuable tool that is potentially instrumental for fundamental hypoxia research. It offers insights into physiological responses to hypoxia among different cell types and may refine translational research in cell therapies.