Single-cell and spatial proteomics are rapidly evolving, enabling high-resolution analysis of proteins within individual cells and their native tissue environments. These complementary approaches provide deep insights into cellular heterogeneity, tissue architecture, and molecular function.
Recent advances from high-throughput sample preparation to ultra-sensitive mass spectrometry and AI-driven analysis are driving progress in both fields and fostering increasing integration, with single-cell proteomics achieving greater proteome depth and throughput at the individual cell level, and spatial proteomics approaching single-cell and even subcellular resolution. Together, they support precise mapping of protein expression, localization, and interaction networks across diverse biological contexts, including development, cancer, and neuroscience.
As these technologies become increasingly accessible and scalable, they are transforming how we study biological systems in situ, offering a proteomic counterpart to the success of single-cell and spatial transcriptomics in resolving the complexity of life at cellular and tissue scales.