Nat Rev GenetJClub
Decoding epithelial-mesenchymal transitions with multi-omics.
Nature Reviews Genetics · · Review
Narwade, Nieto
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Multi-omics and computational methods have enabled detailed decoding of the complex and heterogeneous epithelial-mesenchymal transition (EMT) process.
- Why it matters: Understanding EMT is crucial because it plays vital roles in development, tissue repair, aging, and diseases like cancer and fibrosis, but its complexity has hindered systematic study.
- What they did: The authors review how recent high-throughput single-cell and spatial omics technologies, combined with machine learning and network modeling, have advanced the analysis of EMT across multiple regulatory layers.
- The result: These integrated approaches have improved biological insights, paving the way for biomarker discovery and translational applications, despite ongoing challenges and future opportunities.
The findingWhy it mattersWhat they didThe result