Gao Lab is a pioneering research group affiliated with Peking University, specializing in cutting-edge spatial omics technology. Founded with a mission to advance the understanding of cell functionality in relation to their microenvironments, Gao Lab focuses on innovative methods for cross-platform and multimodal spatial omics comparison and integration. Their latest advancement, the Spatial-linked Alignment Tool (SLAT), introduced in their recent publication in Nature Communications, addresses the challenges of aligning heterogeneous spatial slices, providing a robust solution for accurate cross-omics data analysis.

SLAT employs graph neural networks to model spatial relationships among cells, enabling precise alignment even across various technologies and resolutions. This breakthrough is especially applicable in complex biological processes, such as embryonic development, where the lab has demonstrated remarkable success in tracking dynamic changes across different stages. Gao Lab supports open collaboration by sharing all SLAT implementation codes on GitHub, fostering further research and discovery in life sciences. Their work is bolstered by significant funding from prestigious research institutions and highlighted by contributions from a dedicated team of researchers.