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Deciphering Drug Targets and Actions with Single-Cell and Spatial Resolution
Zhengyuan Pang1, Benjamin F Cravatt2, Li Ye1,3
1Department of Neuroscience, The Scripps Research Institute, La Jolla, California, USA;
Annual Review of Pharmacology and Toxicology
|September 18, 2023
Summary
New methods link drug-target interactions with cellular and spatial tissue heterogeneity. Integrating single-cell and spatial omics with drug imaging will advance understanding of in vivo drug mechanisms.
Area of Science:
- Chemical biology
- Genomics
- Molecular biology
- Biotechnology
Background:
- Advances in chemical, molecular, and genetic methods enable whole-proteome and genome drug-target interaction identification.
- Single-cell and spatial omics technologies are transforming the understanding of biological systems' molecular architecture.
- A gap exists in aligning traditional drug action understanding (molecular affinities) with in vivo cellular and spatial tissue heterogeneity.
Purpose of the Study:
- To review state-of-the-art methods for profiling drug-target interactions.
- To discuss emerging multiomics tools for delineating tissue heterogeneity at single-cell resolution.
- To highlight advances in in situ small-molecule drug imaging.
Main Methods:
- Review of current drug-target interaction profiling techniques.
- Exploration of single-cell and spatial omics for tissue heterogeneity analysis.
- Focus on clearing-assisted tissue click chemistry (CATCH) for multiplexable in situ drug imaging.
Main Results:
- Identification of methods to profile drug-target interactions across proteome and genome.
- Characterization of tissue heterogeneity using single-cell and spatial omics.
- Demonstration of high-resolution, multiplexable in situ small-molecule drug imaging via CATCH.
Conclusions:
- Integration of single-cell and spatial omics platforms is crucial for future drug discovery.
- Bridging the gap between molecular affinities and in vivo heterogeneity is key to understanding drug mechanisms.
- The future framework for defining in vivo drug-target interactions will incorporate multiomics data and advanced imaging techniques.

