Phenomics Demonstrates Cytokines Additive Induction of Epithelial to Mesenchymal Transition

Epithelial to mesenchymal transition (EMT) is highly plastic with a programme where cells lose adhesion and become more motile. EMT heterogeneity is one of the factors for disease progression and chemoresistance in cancer. Omics characterisations are costly and challenging to use. We developed single cell phenomics with easy to use wide-field fluorescence microscopy. We analyse over 70,000 cells and combined 53 features. Our simplistic pipeline allows efficient tracking of EMT plasticity, with a single statistical metric. We discriminate four high EMT plasticity cancer cell lines along the EMT spectrum. We test two cytokines, inducing EMT in all cell lines, alone or in combination. The single cell EMT metrics demonstrate the additive effect of cytokines combination on EMT independently of cell line EMT spectrum. The effects of cytokines are also observed at the front of migration during wound healing assay. Single cell phenomics is uniquely suited to characterise the cellular heterogeneity in response to complex microenvironment and show potential for drug testing assays.

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Publication Details

Journal
Journal of Cellular Physiology
Published
2024-11-20
DOI
https://doi.org/10.1002/jcp.31491
Citations
3
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.85

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article

Phenomics Demonstrates Cytokines Additive Induction of Epithelial to Mesenchymal Transition

Sabrina Kellouche, Franck Carreiras, Ambroise Lambert, Mathieu Morel et al.
3 citations
Journal of Cellular Physiology
Cancer Cells and Metastasis
0.85
article

Phenomics Demonstrates Cytokines Additive Induction of Epithelial to Mesenchymal Transition

Sabrina Kellouche, Franck Carreiras, Ambroise Lambert, Mathieu Morel, Alexandra Landras, Alphonse Boché
article en
3 citations

Abstract

Epithelial to mesenchymal transition (EMT) is highly plastic with a programme where cells lose adhesion and become more motile. EMT heterogeneity is one of the factors for disease progression and chemoresistance in cancer. Omics characterisations are costly and challenging to use. We developed single cell phenomics with easy to use wide-field fluorescence microscopy. We analyse over 70,000 cells and combined 53 features. Our simplistic pipeline allows efficient tracking of EMT plasticity, with a single statistical metric. We discriminate four high EMT plasticity cancer cell lines along the EMT spectrum. We test two cytokines, inducing EMT in all cell lines, alone or in combination. The single cell EMT metrics demonstrate the additive effect of cytokines combination on EMT independently of cell line EMT spectrum. The effects of cytokines are also observed at the front of migration during wound healing assay. Single cell phenomics is uniquely suited to characterise the cellular heterogeneity in response to complex microenvironment and show potential for drug testing assays.

Journal of Cellular PhysiologyVol. 240(1)
Centre National de la Recherche Scientifique (FR), Université Paris Sciences et Lettres (FR), École Normale Supérieure - PSL (FR), Sorbonne Université (FR), CY Cergy Paris Université (FR)
Agence Nationale de la Recherche, Ministerio de Economía y Competitividad
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Cancer Cells and Metastasis
0.85
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