Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools DOI Open Access

Johanna B. Brüggenthies,

Jakob Dittmer,

Eva M. Garrido-Martín

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12330 - 12330

Published: Nov. 17, 2024

Macrophage polarization critically contributes to a multitude of human pathologies. Hence, modulating macrophage is promising approach with enormous therapeutic potential. Macrophages are characterized by remarkable functional and phenotypic plasticity, pro-inflammatory (M1) anti-inflammatory (M2) states at the extremes multidimensional spectrum. Cell morphology major indicator for activation, describing M1(-like) (rounded) M2(-like) (elongated) different cell shapes. Here, we introduced painting macrophages better reflect their multifaceted plasticity associated phenotypes beyond rigid dichotomous M1/M2 classification. Using high-content imaging, established deep learning- feature-based image analysis tools elucidate cellular fingerprints that inform about subtle blood monocyte-derived iPSC-derived as screening surrogate. Moreover, show feature profiling suitable identifying inter-donor variance describe relevance 'cell roundness' dissect distinct signatures after stimulation known biological or small-molecule modulators (re-)polarization. Our novel AI-fueled provide resource high-content-based drug candidate profiling, which set stage (re-)polarization in health disease.

Language: Английский

Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools DOI Open Access

Johanna B. Brüggenthies,

Jakob Dittmer,

Eva M. Garrido-Martín

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12330 - 12330

Published: Nov. 17, 2024

Macrophage polarization critically contributes to a multitude of human pathologies. Hence, modulating macrophage is promising approach with enormous therapeutic potential. Macrophages are characterized by remarkable functional and phenotypic plasticity, pro-inflammatory (M1) anti-inflammatory (M2) states at the extremes multidimensional spectrum. Cell morphology major indicator for activation, describing M1(-like) (rounded) M2(-like) (elongated) different cell shapes. Here, we introduced painting macrophages better reflect their multifaceted plasticity associated phenotypes beyond rigid dichotomous M1/M2 classification. Using high-content imaging, established deep learning- feature-based image analysis tools elucidate cellular fingerprints that inform about subtle blood monocyte-derived iPSC-derived as screening surrogate. Moreover, show feature profiling suitable identifying inter-donor variance describe relevance 'cell roundness' dissect distinct signatures after stimulation known biological or small-molecule modulators (re-)polarization. Our novel AI-fueled provide resource high-content-based drug candidate profiling, which set stage (re-)polarization in health disease.

Language: Английский

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