Advances in single-cell omics: Transformative applications in basic and clinical research

Recent advancements in single-cell RNA sequencing, spatial transcriptomics, and multi-omics integration have enabled researchers to dissect complex tissues and identify distinct cell populations with unique functional states. This review discusses the application of single-cell omics in diverse fields, including cancer research and developmental biology, showcasing how they reveal insights into cellular interactions, disease mechanisms, and therapeutic responses. Notable studies illustrate the potential of single-cell approaches to uncover novel biomarkers and therapeutic targets, particularly in heterogeneous diseases such as cancer and neurodevelopmental disorders. Furthermore, the review emphasizes the importance of integrating single-cell data with computational models to enhance our understanding of cellular dynamics and microenvironmental influences. Overall, this review underscores the critical role of single-cell omics in advancing our knowledge of biology and its applications in clinical settings, paving the way for personalized medicine.