
Drug responses can vary substantially from cell to cell, even within the same tissue or tumor. Population-averaged measurements can therefore provide an incomplete picture of drug efficacy, making single-cell analysis desirable for drug-response testing. However, a practical single-cell platform must combine strong sensitivity with high throughput and rich biochemical information, while remaining affordable, straightforward to operate and robust against batch effects.
VIBRANT, or vibrational painting, addresses these requirements by integrating three infrared-active metabolic probes, mid-infrared imaging and an optimized analysis pipeline. The probes report protein synthesis, saturated fatty-acid metabolism, and unsaturated fatty-acid metabolism, while automated segmentation and machine learning convert each cell's spectrum into a multidimensional drug-response profile. Across more than 20,000 cells and 23 drug treatments, VIBRANT sensitively distinguished mechanisms of action with minimal batch effects, identified compounds with potentially new mechanisms and evaluated drug combinations. This combination of content, scale and accessibility establishes a versatile platform for phenotypic screening and drug discovery.
- X. Liu, L. Shi, Z. Zhao, J. Shu and W. Min. “VIBRANT: spectral profiling for single-cell drug responses,” Nature Methods 21, 501–511 (2024).
