A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types.

CCD-1137Sk CK14 HT-29 HaCaT Involucrin Ki-67 MDA-MB-231 cytokeratin-14

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2024
Historique:
received: 23 04 2024
accepted: 19 07 2024
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: epublish

Résumé

Spheroids have become principal three-dimensional models to study cancer, developmental processes, and drug efficacy. Single-cell analysis techniques have emerged as ideal tools to gauge the complexity of cellular responses in these models. However, the single-cell quantitative assessment based on 3D-microscopic data of the subcellular distribution of fluorescence markers, such as the nuclear/cytoplasm ratio of transcription factors, has largely remained elusive. For spheroid generation, ultra-low attachment plates are noteworthy due to their simplicity, compatibility with automation, and experimental and commercial accessibility. However, it is unknown whether and to what degree the plate type impacts spheroid formation and biology. This study developed a novel AI-based pipeline for the analysis of 3D-confocal data of optically cleared large spheroids at the wholemount, single-cell, and sub-cellular levels. To identify relevant samples for the pipeline, automated brightfield microscopy was employed to systematically compare the size and eccentricity of spheroids formed in six different plate types using four distinct human cell lines. This showed that all plate types exhibited similar spheroid-forming capabilities and the gross patterns of growth or shrinkage during 4 days after seeding were comparable. Yet, size and eccentricity varied systematically among specific cell lines and plate types. Based on this prescreen, spheroids of HaCaT keratinocytes and HT-29 cancer cells were further assessed. In HaCaT spheroids, the in-depth analysis revealed a correlation between spheroid size, cell proliferation, and the nuclear/cytoplasm ratio of the transcriptional coactivator, YAP1, as well as an inverse correlation with respect to cell differentiation. These findings, yielded with a spheroid model and at a single-cell level, corroborate earlier concepts of the role of YAP1 in cell proliferation and differentiation of keratinocytes in human skin. Further, the results show that the plate type may influence the outcome of experimental campaigns and that it is advisable to scan different plate types for the optimal configuration during a specific investigation.

Identifiants

pubmed: 39157442
doi: 10.3389/fbioe.2024.1422235
pii: 1422235
pmc: PMC11327450
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1422235

Informations de copyright

Copyright © 2024 Vitacolonna, Bruch, Agaçi, Nürnberg, Cesetti, Keller, Padovani, Sauer, Schmoller, Reischl, Hafner and Rudolf.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Mario Vitacolonna (M)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.

Roman Bruch (R)

Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Ane Agaçi (A)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.

Elina Nürnberg (E)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.
Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.

Tiziana Cesetti (T)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.

Florian Keller (F)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.

Francesco Padovani (F)

Institute of Functional Epigenetics (IFE), Molecular Targets and Therapeutics Center (MTTC), Helmholtz Center München, München-Neuherberg, Germany.

Simeon Sauer (S)

Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.

Kurt M Schmoller (KM)

Institute of Functional Epigenetics (IFE), Molecular Targets and Therapeutics Center (MTTC), Helmholtz Center München, München-Neuherberg, Germany.

Markus Reischl (M)

Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Mathias Hafner (M)

Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Medical Technology, Medical Faculty Mannheim of Heidelberg University and Mannheim University of Applied Sciences, Mannheim, Germany.

Rüdiger Rudolf (R)

CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany.
Institute of Medical Technology, Medical Faculty Mannheim of Heidelberg University and Mannheim University of Applied Sciences, Mannheim, Germany.

Classifications MeSH