Unlocking Cellular Complexity: The Role of Multi-Omics in Single-Cell Analysis
Complex organisms consist of diverse and heterogeneous cells. In the last decade, single-cell sequencing technology has gained traction in studying cellular heterogeneity. However, researchers are now moving beyond single-level information, embracing multi-omics strategies to integrate genomic, transcriptomic, proteomic, and spatial gene expression data. This holistic approach overcomes the limitations of analyzing single-modal data from disparate experiments and unveils crucial molecular features within individual cells.