Automated Decellularization of Musculoskeletal Tissues with High Extracellular Matrix Retention.

Manual tissue decellularization is an onerous process that requires the application of many sequential treatments by an operator and can be prone to user error and result variability. While automated decellularization devices have been previously reported, with advances being made in recent years toward open-source platforms, previous automated decellularization devices have been reliant on hardware or software components that are closed-source and proprietary. The aim of the current work was to develop and validate a full open-source automated decellularization system to be available for others to adopt. The open-source decellularization apparatus is a low-cost (<$2000) device that may easily be adapted to an array of decellularization protocols, with an example parts' list provided herein. The automated decellularization device was used to decellularize hyaline cartilage, knee meniscus, and tendon tissues. Cartilage, meniscus, and tendon tissue demonstrated 97%, 99%, and 96% reduction in DNA content after decellularization, respectively, and with effective decellularization confirmed visually via histology. High retentions of glycosaminoglycans (GAGs), collagen, and other proteins were observed in meniscus and tendon following decellularization. Results with manual decellularization with meniscus tissue were consistent with the automated decellularization process. Decellularized cartilage (DCC) demonstrated a 34% decrease in GAG content, while the protein and collagen content did not significantly change. The current study demonstrated that native-like decellularized tissues were produced reproducibly using the reported open-source automated decellularization platform, providing an adoptable platform for production of decellularized tissues by others. Impact statement Decellularized extracellular matrix (ECM)-based materials are appealing for tissue engineering, but production of these materials is historically time-intensive, tedious, and prone to user error. Adoption of an automated system may be a barrier for many research groups due to cost and complexity. In this article, a low-cost open-source platform for automated decellularization is presented. This method is validated by decellularizing porcine musculoskeletal tissues and demonstrating the native-like compositional properties of these decellularized tissues. The ability to produce decellularized tissue in an automated manner is useful for further research of ECM-based materials and potential clinical applications.