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.
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.