Metabolic homeostasis serves as the physiological foundation, determining cell fate and facilitating functional maintenance. Conversely, disruptions in metabolic regulation play a pivotal role in the pathogenesis and progression of numerous significant diseases, offering a promising avenue for discovering drug targets. Given the complexity of metabolic networks and the dynamic nature of their regulation, metabolomics and the integration of multiple omics technologies have emerged as crucial tools for comprehending disease-related metabolic regulation at a systemic level.
We are dedicated to developing cutting-edge, ultra-sensitive, single-cell metabolomics technology, as well as artificial intelligence (AI)-assisted strategies for integrating multi-omics data. Through these advancements, our goal is to characterize patterns of metabolic remodeling in diseases, explore their functions, and elucidate the underlying regulatory mechanisms. We have successfully developed high-sensitivity, broad-spectrum targeted metabolomics and metabolic flux analysis techniques, as well as AI-empowered multi-omics integration methods. These state-of-the-art advancements enable precise multidimensional omics analysis spanning from extremely small biological samples (such as 100-1000 cells) to large clinical sample cohorts.
By leveraging these technologies, we have unveiled the patterns of metabolic remodeling during processes like development, metastasis, and drug resistance in diseases such as tumors. We have revealed the functions and molecular regulatory mechanisms associated with aberrations in central carbon-related metabolic pathways. Our research offers potential strategies or targets for diagnosis and treatment of these diseases.
