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Charrasse S, Racine V, Saint-Omer C, Poquillon T, Lionnard L, Ledru M, Gonindard C, Delaunois S, Kissa K, Frye RE, Pastore M, Reynes C, Frechet M, Chajra H, Aouacheria A. Quantitative imaging and semiotic phenotyping of mitochondrial network morphology in live human cells. PLoS One 2024; 19:e0301372. [PMID: 38547143 PMCID: PMC10977735 DOI: 10.1371/journal.pone.0301372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/11/2024] [Indexed: 04/02/2024] Open
Abstract
The importance of mitochondria in tissue homeostasis, stress responses and human diseases, combined to their ability to transition between various structural and functional states, makes them excellent organelles for monitoring cell health. There is therefore a need for technologies to accurately analyze and quantify changes in mitochondrial organization in a variety of cells and cellular contexts. Here we present an innovative computerized method that enables accurate, multiscale, fast and cost-effective analysis of mitochondrial shape and network architecture from confocal fluorescence images by providing more than thirty features. In order to facilitate interpretation of the quantitative results, we introduced two innovations: the use of Kiviat-graphs (herein named MitoSpider plots) to present highly multidimensional data and visualization of the various mito-cellular configurations in the form of morphospace diagrams (called MitoSigils). We tested our fully automated image analysis tool on rich datasets gathered from live normal human skin cells cultured under basal conditions or exposed to specific stress including UVB irradiation and pesticide exposure. We demonstrated the ability of our proprietary software (named MitoTouch) to sensitively discriminate between control and stressed dermal fibroblasts, and between normal fibroblasts and other cell types (including cancer tissue-derived fibroblasts and primary keratinocytes), showing that our automated analysis captures subtle differences in morphology. Based on this novel algorithm, we report the identification of a protective natural ingredient that mitigates the deleterious impact of hydrogen peroxide (H2O2) on mitochondrial organization. Hence we conceived a novel wet-plus-dry pipeline combining cell cultures, quantitative imaging and semiotic analysis for exhaustive analysis of mitochondrial morphology in living adherent cells. Our tool has potential for broader applications in other research areas such as cell biology and medicine, high-throughput drug screening as well as predictive and environmental toxicology.
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Affiliation(s)
- Sophie Charrasse
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
| | - Victor Racine
- QuantaCell SAS, Institute for Regenerative Medicine and Biotherapy (IRMB), Saint Eloi Hospital, Montpellier University Hospital, Montpellier, France
| | - Charlotte Saint-Omer
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
| | - Titouan Poquillon
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
- QuantaCell SAS, Institute for Regenerative Medicine and Biotherapy (IRMB), Saint Eloi Hospital, Montpellier University Hospital, Montpellier, France
| | - Loïc Lionnard
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
| | - Marine Ledru
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
| | | | | | - Karima Kissa
- VBIC, INSERM U1047, Université de Montpellier, Montpellier, France
| | - Richard E. Frye
- Autism Discovery and Treatment Foundation, Phoenix, AZ, United States America
| | - Manuela Pastore
- STATABIO BioCampus, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | - Christelle Reynes
- STATABIO BioCampus, Université de Montpellier, CNRS, INSERM, Montpellier, France
- Institut de Génomique Fonctionnelle (IGF), Université de Montpellier, CNRS, INSERM, Montpellier, France
| | | | | | - Abdel Aouacheria
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
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