Non-Invasive Longitudinal Bioluminescence Imaging of Human Mesoangioblasts in Bioengineered Esophagi

Esophageal engineering aims to create replacement solutions by generating hollow organs using a combination of cells, scaffolds, and regeneration-stimulating factors. Currently, the fate of cells on tissue-engineered grafts is generally determined retrospectively by histological analyses. Unfortunately, quality-controlled cell seeding protocols for application in human patients are not standard practice. As such, the field requires simple, fast, and reliable techniques for non-invasive, highly specific cell tracking. Here, we show that bioluminescence imaging (BLI) is a suitable method to track human mesoangioblast seeding of an esophageal tubular construct at every stage of the preclinical bioengineering pipeline. In particular, validation of BLI as longitudinal quantitative assessment of cell density, proliferation, seeding efficiency, bioreactor culture, and cell survival upon implantation in vivo was performed against standard methods in 2D cultures and in 3D decellularized esophageal scaffolds. The technique is simple, non-invasive, and provides information on mesoangioblast distribution over entire scaffolds. Bioluminescence is an invaluable tool in the development of complex bioartificial organs and can assist in the development of standardized cell seeding protocols, with the ability to track cells from bioreactor through to implantation. IMPACT STATEMENT: Methodologies for incorporation of cells into tissue-engineered grafts, particularly at the later preclinical stages, are suboptimal and non-validated, and monitoring cell fate within scaffolds cultured in bioreactors and in vivo is challenging. In this study, we demonstrate how bioluminescence imaging (BLI) can overcome these difficulties and allow quantitative cell tracking at multiple stages of the bioengineering preclinical pipeline. Our robust bioluminescence-based approach allowed reproducible longitudinal monitoring of mesoangioblast localization and survival in 2D/3D tissue culture, in organ-scale bioreactors, and in vivo. Our findings will encourage the use of BLI in tissue engineering studies, improving the overall quality of cell–scaffold interaction research.