Decoding epithelial-mesenchymal transitions with multi-omics.

Multi-omics and computational frameworks have significantly advanced understanding of epithelial-mesenchymal transition (EMT) by enabling comprehensive profiling of cellular states at unprecedented resolution.

• Why it matters: EMT's cellular heterogeneity and intermediate states have historically limited systematic investigation across regulatory layers, impeding biomarker discovery and translational applications.
• What they did: The review discusses recent high-throughput single-cell and spatial omics technologies combined with machine learning, network modeling, and integrative multi-omics approaches used to analyze EMT.
• The result: These advancements have facilitated biological insights into EMT, highlighting current challenges and future opportunities for biomarker discovery and translational research.