High-plex expression profiling reveals that implants drive spatiotemporal protein production and innate immune...

Surprisingly little clarity exists concerning effects of biomaterial properties on spatially localized protein expression, which drives implant success. Wound healing and tissue regeneration must be optimally supported by the implant, adsorbed proteins, immune cells, and fibroblasts; cells determine repair and functional recovery through protein production and regulation. However, not yet fully understood is how implants differentially drive spatial quantities of individual proteins both within the implant interior and the tissue surrounding it. Here we apply GeoMx^Ⓡ digital spatial profiling to site-specifically investigate protein production in porous implants. Data is collected on the location and quantity of 40+ proteins from formalin-fixed, paraffin-embedded tissue slides of anisotropic tissue scaffolds (n = 18) with differing pore sizes (35 µm, 53 µm) and implantation durations (2, 14, 28 days); matching bulk gene expression data (700+ genes) is measured for identical implants. Notably, we discover fundamental spatial relationships in protein localization that in both the implant interior and the exterior are either uniquely independent or dependent of implant microstructure: dendritic cell marker CD11c and fibronectin significantly dominate the scaffold interior, while cell-to-cell adhesion marker CD34 and anti-inflammatory M2 polarization marker CD163 localize in the exterior. Lastly, collating spatial and bulk information, unique spatiotemporal expression patterns are identified for markers such as fibronectin, which are only uncoverable through spatial profiling and are otherwise hidden in bulk expression results. Together, these discoveries illustrate the critical importance of quantifying spatial expression patterns for implants, facilitating a paradigm shift in the iterative design, mechanistic understanding, and rapid assessment of biomaterials. STATEMENT OF SIGNIFICANCE: Spatial localization and expression of proteins, which determine implant success, are not fully understood because quantitative high-plex profiling is challenging. Applying GeoMx^Ⓡ digital spatial profiling to site-specifically investigate protein production in porous implants, data is collected on the location and quantity of 40+ protein targets from tissue scaffolds with differing pore sizes (35 µm, 53 µm) and implantation durations (2, 14, 28 days). Collecting in parallel matched bulk gene expression data (700+ genes) for identical implants, we discover significant spatiotemporal expression patterns that remain otherwise hidden in differential bulk results. This new approach for the rapid assessment of biomaterials offers an enhanced mechanistic understanding and enables the tailoring of implants for superior regenerative outcomes.