Mapping transcriptional responses to cellular perturbations with RNA fingerprinting.

RNA fingerprinting accurately assigns single-cell transcriptional responses to perturbations, resolving combinatorial effects and scaling to genome-wide screens.

• Why it matters: Understanding how cells respond to genetic and chemical perturbations is crucial for interpreting observational data and uncovering causal mechanisms in biology.
• What they did: The authors developed RNA fingerprinting, a statistical framework that learns perturbation "fingerprints" from single-cell data and probabilistically maps new responses onto reference dictionaries, benchmarking shows high accuracy and scalability.
• The result: This approach enables identification of context-specific regulators, dose-dependent drug mechanisms, and cellular heterogeneity, establishing RNA fingerprinting as a versatile tool for linking cellular states to perturbations.