Year: 2026
Type: article
Abstract: Cell Painting is a popular high-content imaging assay that captures the shape and internal organization of 2D cell cultures at scale. While 3D cell cultures are more physiologically relevant models – especially for studying drug perturbations – they remain challenging to image because light scatters before it reaches the cultures’ interior. Here, we introduce a scalable method to adapt Cell Painting for 3D spheroids. We show that tissue-clearing, a technique that makes spheroids transparent, combined with a focusing routine that locates spheroids on the fly, enables Cell Painting at single-cell level inside intact spheroids. By profiling 52 clinically relevant drugs, we show that single-cell fingerprints clustered by biological pathway and resolved drug effects more robustly than those of flattened spheroid-wide views. Notably, the effect of two drugs, 5-fluorouracil and olaparib, nearly indistinguishable in 2D monolayers, diverged in spheroids. This finding was then corroborated by DNA-damage, cell-cycle, and gene-expression assays. The workflow runs on a spinning-disk confocal microscope in a standard 384-well plate format, making single-cell 3D profiling accessible to laboratories already performing Cell Painting.
Source: Nature Communications
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G2127498998, Reducing animal experiments by integrating Cell Painting into routine safety pharmacology, G3629116768, Autonomous phenotypic drug profiling, G4892977900, G561944777, G5705460587, Enabling Systematic Phenotypic Cell Profiling in Safety Pharmacology, ADONIS - Autonomous Drug Combination Screening using Chemical and Genetic Perturbations, G643302094, G7237132203, G7997460068, G8001301338, Chemical Biology Consortium Sweden, Partnership for the Assessment of Risks from Chemicals, G8358565257, SynMix: Improving mechanistic understanding of chemical mixtures using large-scale cell profiling in an automated laboratory, G920194793
OpenAlex ID: W7223114925
