Single‐Cell and Spatial Multiomics: Applications for Diseases
Wentao Li, Chao Chen, Xin Zhu, Chenping Zhang · 2025
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Description
Wentao Li and co-authors review how reading single cells in their spatial context is changing disease research. Their 2025 review covers single-cell and spatial multiomics, methods that measure many molecular layers cell by cell while keeping each cell's address in the tissue. Together they reveal connections that bulk measurements blur away.
The authors first explain the tool families, then walk through uses in head and neck cancer, brain degeneration, and aging. Deep learning enters as the analyst that can digest these huge, layered datasets and trace cause chains through them. Clinically, the methods are starting to shape treatment plans and risk estimates for individual patients. The field is young and the data heavy, the authors concede. Their survey argues the payoff, a mechanistic view of disease in place, justifies the effort.
Catalog record
| CREATOR | Wentao Li, Chao Chen, Xin Zhu, Chenping Zhang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 107 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |