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Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions

INTRODUCTION: Little is known how inflammatory processes quantitatively affect chondrocyte morphology and how single cell morphometric data could be used as a biological fingerprint of phenotype. METHODS: We investigated whether trainable high-throughput quantitative single cell morphology profiling...

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Autores principales: Selig, Mischa, Azizi, Saman, Walz, Kathrin, Lauer, Jasmin C., Rolauffs, Bernd, Hart, Melanie L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968733/
https://www.ncbi.nlm.nih.gov/pubmed/36860844
http://dx.doi.org/10.3389/fimmu.2023.1102912
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author Selig, Mischa
Azizi, Saman
Walz, Kathrin
Lauer, Jasmin C.
Rolauffs, Bernd
Hart, Melanie L.
author_facet Selig, Mischa
Azizi, Saman
Walz, Kathrin
Lauer, Jasmin C.
Rolauffs, Bernd
Hart, Melanie L.
author_sort Selig, Mischa
collection PubMed
description INTRODUCTION: Little is known how inflammatory processes quantitatively affect chondrocyte morphology and how single cell morphometric data could be used as a biological fingerprint of phenotype. METHODS: We investigated whether trainable high-throughput quantitative single cell morphology profiling combined with population-based gene expression analysis can be used to identify biological fingerprints that are discriminatory of control vs. inflammatory phenotypes. The shape of a large number of chondrocytes isolated from bovine healthy and human osteoarthritic (OA) cartilages was quantified under control and inflammatory (IL-1β) conditions using a trainable image analysis technique measuring a panel of cell shape descriptors (area, length, width, circularity, aspect ratio, roundness, solidity). The expression profiles of phenotypically relevant markers were quantified by ddPCR. Statistical analysis, multivariate data exploration, and projection-based modelling were used for identifying specific morphological fingerprints indicative of phenotype. RESULTS: Cell morphology was sensitive to both cell density and IL-1β. In both cell types, all shape descriptors correlated with expression of extracellular matrix (ECM)- and inflammatory-regulating genes. A hierarchical clustered image map revealed that individual samples sometimes responded differently in control or IL-1β conditions than the overall population. Despite these variances, discriminative projection-based modeling revealed distinct morphological fingerprints that discriminated between control and inflammatory chondrocyte phenotypes: the most essential morphological characteristics attributable to non-treated control cells was a higher cell aspect ratio in healthy bovine chondrocytes and roundness in OA human chondrocytes. In contrast, a higher circularity and width in healthy bovine chondrocytes and length and area in OA human chondrocytes indicated an inflammatory (IL-1β) phenotype. When comparing the two species/health conditions, bovine healthy and human OA chondrocytes exhibited comparable IL-1β-induced morphologies in roundness, a widely recognized marker of chondrocyte phenotype, and aspect ratio. DISCUSSION: Overall, cell morphology can be used as a biological fingerprint for describing chondrocyte phenotype. Quantitative single cell morphometry in conjunction with advanced methods for multivariate data analysis allows identifying morphological fingerprints that can discriminate between control and inflammatory chondrocyte phenotypes. This approach could be used to assess how culture conditions, inflammatory mediators, and therapeutic modulators regulate cell phenotype and function.
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spelling pubmed-99687332023-02-28 Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions Selig, Mischa Azizi, Saman Walz, Kathrin Lauer, Jasmin C. Rolauffs, Bernd Hart, Melanie L. Front Immunol Immunology INTRODUCTION: Little is known how inflammatory processes quantitatively affect chondrocyte morphology and how single cell morphometric data could be used as a biological fingerprint of phenotype. METHODS: We investigated whether trainable high-throughput quantitative single cell morphology profiling combined with population-based gene expression analysis can be used to identify biological fingerprints that are discriminatory of control vs. inflammatory phenotypes. The shape of a large number of chondrocytes isolated from bovine healthy and human osteoarthritic (OA) cartilages was quantified under control and inflammatory (IL-1β) conditions using a trainable image analysis technique measuring a panel of cell shape descriptors (area, length, width, circularity, aspect ratio, roundness, solidity). The expression profiles of phenotypically relevant markers were quantified by ddPCR. Statistical analysis, multivariate data exploration, and projection-based modelling were used for identifying specific morphological fingerprints indicative of phenotype. RESULTS: Cell morphology was sensitive to both cell density and IL-1β. In both cell types, all shape descriptors correlated with expression of extracellular matrix (ECM)- and inflammatory-regulating genes. A hierarchical clustered image map revealed that individual samples sometimes responded differently in control or IL-1β conditions than the overall population. Despite these variances, discriminative projection-based modeling revealed distinct morphological fingerprints that discriminated between control and inflammatory chondrocyte phenotypes: the most essential morphological characteristics attributable to non-treated control cells was a higher cell aspect ratio in healthy bovine chondrocytes and roundness in OA human chondrocytes. In contrast, a higher circularity and width in healthy bovine chondrocytes and length and area in OA human chondrocytes indicated an inflammatory (IL-1β) phenotype. When comparing the two species/health conditions, bovine healthy and human OA chondrocytes exhibited comparable IL-1β-induced morphologies in roundness, a widely recognized marker of chondrocyte phenotype, and aspect ratio. DISCUSSION: Overall, cell morphology can be used as a biological fingerprint for describing chondrocyte phenotype. Quantitative single cell morphometry in conjunction with advanced methods for multivariate data analysis allows identifying morphological fingerprints that can discriminate between control and inflammatory chondrocyte phenotypes. This approach could be used to assess how culture conditions, inflammatory mediators, and therapeutic modulators regulate cell phenotype and function. Frontiers Media S.A. 2023-02-13 /pmc/articles/PMC9968733/ /pubmed/36860844 http://dx.doi.org/10.3389/fimmu.2023.1102912 Text en Copyright © 2023 Selig, Azizi, Walz, Lauer, Rolauffs and Hart https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Selig, Mischa
Azizi, Saman
Walz, Kathrin
Lauer, Jasmin C.
Rolauffs, Bernd
Hart, Melanie L.
Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title_full Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title_fullStr Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title_full_unstemmed Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title_short Cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
title_sort cell morphology as a biological fingerprint of chondrocyte phenotype in control and inflammatory conditions
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968733/
https://www.ncbi.nlm.nih.gov/pubmed/36860844
http://dx.doi.org/10.3389/fimmu.2023.1102912
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