In drug discovery, understanding compound mechanisms requires more than a single readout. Combining transcriptomic and morphological profiles can help researchers distinguish compound responses, interpret pathway activity and assess how genetic context influences drug sensitivity.
Read this scientific poster from our preclinical services team to see how you can:
- Strengthen mechanism-of-action classification: Integrate MERCURIUS™ DRUG-seq and Cell Painting data to improve separation of mechanistically distinct compound classes.
- Connect phenotypes to pathway biology: Combine gene expression and morphological signatures to build a more interpretable picture of cellular responses.
- Resolve time-dependent effects: Compare early and later transcriptional responses to identify progressive pathway suppression and adaptive signalling.
- Account for genetic context: Distinguish genotype-selective responses, including the attenuated activity of KRAS G12C-selective inhibitors in KRAS G13D cells.
- Use complementary data to support more confident compound classification, mechanism investigation and prioritization in drug discovery.
Read the poster now.
For research use only. Not for use in diagnostic procedures.