Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

Sequential orthogonal assays for longitudinal and endpoint characterization of three-dimensional spheroids

An Author Correction to this article was published on 09 June 2025

This article has been updated

Abstract

Spheroids are reaggregated multicellular three-dimensional structures generated from cells or cell cultures of healthy as well as pathological tissue. Basic and translational spheroid application across academia and industry have led to the development of multiple setups and analysis methods, which mostly lack the modularity to maximally phenotype spheroids. Here we present the self-assembly of single-cell suspensions into spheroids by the liquid overlay method, followed by a modular framework for a multifaceted phenotyping of spheroids. Cell seeding, supernatant handling and compound administration are elaborated by both manual and automated procedures. The phenotyping modules contain a suite of orthogonal assays to analyze spheroids longitudinally and/or at an endpoint. Longitudinal analyses include morphometry with or without spheroid or cell state specific information and supernatant evaluation (nutrient consumption and metabolite/cytokine production). Spheroids can also be used as a starting point to monitor single and collective cell migration and invasion. At an endpoint, spheroids are lysed, fixed or dissociated into single cells. Endpoint analyses allow the investigation of molecular content, single-cell composition and state and architecture with spatial cell and subcellular specific information. Each module addresses time requirements and quality control indicators to support reproducibility. The presented complementary techniques can be readily adopted by researchers experienced in cell culture and basic molecular biology. We anticipate that this modular protocol will advance the application of three-dimensional biology by providing scalable and complementary methods.

Key points

  • This protocol describes the self-assembly of single-cell suspensions into spheroids by the liquid overlay method, alongside a modular framework of orthogonal assays to phenotype spheroids both longitudinally and at an endpoint.

  • This method ensures production and long-term culture of spheroids with defined size, morphology and composition. In addition, the workflow addresses a comprehensive number of spheroid metrics including supernatant analysis.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Overview of the protocol.
Fig. 2: Spheroid setup.
Fig. 3: Supernatant analysis.
Fig. 4: Morphometric analysis with or without spheroid/cell specific information.
Fig. 5: Functional assays.
Fig. 6: Analysis of molecular content.
Fig. 7: Analysis of single-cell composition and state.
Fig. 8: Architecture with spatial cell information: histology and IHC.
Fig. 9: Architecture with spatial cell and subcellular information: LSFM and TEM.

Similar content being viewed by others

Data availability

Any additional data required for research purposes are available from the corresponding author upon request. Source data are provided with this paper.

Change history

References

  1. Peirsman, A. et al. MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity. Nat. Methods 18, 1294–1303 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Pampaloni, F., Reynaud, E. G. & Stelzer, E. H. K. The third dimension bridges the gap between cell culture and live tissue. Nat. Rev. Mol. Cell Biol. 8, 839–845 (2007).

    Article  CAS  PubMed  Google Scholar 

  3. Abbott, A. Cell culture: biology’s new dimension. Nature 424, 870–872 (2003).

    Article  CAS  PubMed  Google Scholar 

  4. Lagies, S. et al. Cells grown in three-dimensional spheroids mirror in vivo metabolic response of epithelial cells. Commun. Biol. 3, 246 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Han, K. et al. CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities. Nature 580, 136–141 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Downing, T. L. Towards spheroid-omics. Nat. Methods 18, 1283–1285 (2021).

    Article  CAS  PubMed  Google Scholar 

  7. Ascheid, D. et al. A vascularized breast cancer spheroid platform for the ranked evaluation of tumor microenvironment-targeted drugs by light sheet fluorescence microscopy. Nat. Commun. 15, 3599 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Sutherland, R. M., McCredie, J. A. & Inch, W. R. Growth of multicell spheroids in tissue culture as a model of nodular carcinomas. J. Natl. Cancer Inst. 46, 113–120 (1971).

    CAS  PubMed  Google Scholar 

  9. Ec, C., de Melo-Diogo D, Af, M., Mp, C. & Ij, C. Spheroids formation on non-adhesive surfaces by liquid overlay technique: considerations and practical approaches. Biotechnol. J. 13, (2018).

  10. Grimm, D. et al. The fight against cancer by microgravity: the multicellular spheroid as a metastasis model. Int. J. Mol. Sci. 23, 3073 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Zinn, D. A., Mehner, C. & Patel, T. Protocol for generation of multicellular spheroids through reduced gravity. STAR Protoc. 4, 102264 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Tung, Y.-C. et al. High-throughput 3D spheroid culture and drug testing using a 384 hanging drop array. Analyst 136, 473–478 (2011).

    Article  CAS  PubMed  Google Scholar 

  13. Leung, B. M., Lesher-Perez, S. C., Matsuoka, T., Moraes, C. & Takayama, S. Media additives to promote spheroid circularity and compactness in hanging drop platform. Biomater. Sci. 3, 336–344 (2015).

    Article  CAS  PubMed  Google Scholar 

  14. Andolfi, L. et al. Planar AFM macro-probes to study the biomechanical properties of large cells and 3D cell spheroids. Acta Biomater. 94, 505–513 (2019).

    Article  CAS  PubMed  Google Scholar 

  15. Ferraro, R., Guido, S., Caserta, S. & Tassieri, M. i-Rheo-optical assay: measuring the viscoelastic properties of multicellular spheroids. Mater. Today Bio 26, 101066 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Jaiswal, D., Moscato, Z., Tomizawa, Y., Claffey, K. P. & Hoshino, K. Elastography of multicellular spheroids using 3D light microscopy. Biomed. Opt. Express 10, 2409–2418 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Boot, R. C. et al. High-throughput mechanophenotyping of multicellular spheroids using a microfluidic micropipette aspiration chip. Lab. Chip 23, 1768–1778 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. De Wever, O. et al. Modeling and quantification of cancer cell invasion through collagen type I matrices. Int. J. Dev. Biol. 54, 887–896 (2010).

    Article  PubMed  Google Scholar 

  19. Bell, E. M., Graves, M. L., Dean, P. M., Goodman, T. O. & Roskelley, C. D. Modeling collective invasion and single-cell mesenchymal invasion in three-dimensional Matrigel-collagen i cultures. Methods Mol. Biol. Clifton NJ 2508, 79–99 (2022).

    Google Scholar 

  20. Ojalill, M. et al. Interaction between prostate cancer cells and prostate fibroblasts promotes accumulation and proteolytic processing of basement membrane proteins. Prostate 80, 715–726 (2020).

    Article  CAS  PubMed  Google Scholar 

  21. Siljamäki, E. et al. H-Ras activation and fibroblast-induced TGF-β signaling promote laminin-332 accumulation and invasion in cutaneous squamous cell carcinoma. Matrix Biol. J. Int. Soc. Matrix Biol. 87, 26–47 (2020).

    Article  Google Scholar 

  22. Meçe, O. et al. Lipid droplet degradation by autophagy connects mitochondria metabolism to Prox1-driven expression of lymphatic genes and lymphangiogenesis. Nat. Commun. 13, 2760 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Bauleth-Ramos, T. et al. Colorectal cancer triple co-culture spheroid model to assess the biocompatibility and anticancer properties of polymeric nanoparticles. J. Control. Release Off. J. Control. Release Soc. 323, 398–411 (2020).

    Article  CAS  Google Scholar 

  24. De Jaeghere, E. et al. Heterocellular 3D scaffolds as biomimetic to recapitulate the tumor microenvironment of peritoneal metastases in vitro and in vivo. Biomaterials 158, 95–105 (2018).

    Article  PubMed  Google Scholar 

  25. Diosdi, A. et al. Cell lines and clearing approaches: a single-cell level 3D light-sheet fluorescence microscopy dataset of multicellular spheroids. Data Brief 36, 107090 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Diosdi, A. et al. A quantitative metric for the comparative evaluation of optical clearing protocols for 3D multicellular spheroids. Comput. Struct. Biotechnol. J. 19, 1233–1243 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Przybylla, R., Mullins, C. S., Krohn, M., Oswald, S. & Linnebacher, M. Establishment and characterization of novel human intestinal in vitro models for absorption and first-pass metabolism studies. Int. J. Mol. Sci. 23, 9861 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Maletzki, C. et al. Functional characterization and drug response of freshly established patient-derived tumor models with CpG island methylator phenotype. PloS One 10, e0143194 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  29. De Thaye, E. et al. Establishment and characterization of a cell line and patient-derived xenograft (PDX) from peritoneal metastasis of low-grade serous ovarian carcinoma. Sci. Rep. 10, 6688 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hendrix, A. et al. Effect of the secretory small GTPase Rab27B on breast cancer growth, invasion, and metastasis. J. Natl. Cancer Inst. 102, 866–880 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Ivanov, D. P. & Grabowska, A. M. In vitro tissue microarrays for quick and efficient spheroid characterization. SLAS Discov. Adv. Life Sci. R D 23, 211–217 (2018).

    Article  CAS  Google Scholar 

  32. Riedl, A. et al. Comparison of cancer cells in 2D vs 3D culture reveals differences in AKT-mTOR-S6K signaling and drug responses. J. Cell Sci. 130, 203–218 (2017).

    CAS  PubMed  Google Scholar 

  33. Thippabhotla, S., Zhong, C. & He, M. 3D cell culture stimulates the secretion of in vivo like extracellular vesicles. Sci. Rep. 9, 13012 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Piccinini, F. et al. Deep learning-based tool for morphotypic analysis of 3d multicellular spheroids. J. Mech. Med. Biol. 23, 2340034 (2023).

    Article  Google Scholar 

  35. Gysens, F. et al. Direct lysis of 3D cell cultures for RT–qPCR gene expression quantification. Sci. Rep. 13, 1520 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was partially supported by Concerted Research Actions from Ghent University, Foundation against Cancer, Stand up to Cancer, the Flemish Cancer Society and Fund for Scientific Research Flanders, by the Portuguese Science and Technology, by Sigrid Jusélius Foundation and by the Research Council of Finland. We thank R. Fernandes and S. Pacheco from the i3S scientific platform Histology and Electron Microscopy for the review of the TEM protocol. Mass spectrometry analyses were performed at the Turku Proteomics Facility, University of Turku, supported by Biocenter Finland.

Author information

Authors and Affiliations

Authors

Contributions

E.B. generated the spheroid cultures. E.B., S.E., F.D.V., A.D., C.P., D.E., P.R., R.B., L.C., V.G. and J.D. performed downstream analyses. E.B. performed the data analysis. E.B. and O.D.W. wrote the manuscript. All authors revised and approved the manuscript.

Corresponding author

Correspondence to Olivier De Wever.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Protocols thanks Simone Sidoli and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Key references

Peirsman, A. et al. Nat. Methods 18, 1294–1303 (2021): https://doi.org/10.1038/s41592-021-01291-4

De Wever, O. et al. Int. J. Dev. Biol. 54, 887–896 (2010): https://doi.org/10.1387/ijdb.092948ow

Siljamäki, E. et al. Matrix Biol. J. Int. Soc. Matrix Biol. 87, 26–47 (2020): https://doi.org/10.1016/j.matbio.2019.09.001

Diosdi, A. et al. Data Brief 36, 107090 (2021): https://doi.org/10.1016/j.dib.2021.107090

De Jaeghere, E. et al. Biomaterials 158, 95–105 (2018): https://doi.org/10.1016/j.biomaterials.2017.12.017

Extended data

Extended Data Fig. 1 Spheroid compaction.

a, Examples of cell lines that do not form compact spheroids spontaneously. Addition of viscosity enhancers or matrix components (e.g. collagen, methylcellulose) enable compact spheroid (individual cells are difficult to discriminate and there is absence of spaces or voids) formation. b, Longitudinal light microscopic monitoring of PANC1 and 4T1 spheroids over 3 d. Compact spheroids are formed 3 d after single-cell seeding for PANC1 while they are formed 1 d after single-cell seeding for 4T1. c, Normalized spheroid size curves of various cell lines (2,000 cells per well, DMEM HG) show differences in compaction phases and growth phases.

Source data

Extended Data Fig. 2 Imaging of spheroid invasion at different z-planes.

Light microscopic images at different z-planes (60 µm steps) illustrate the invasion of single cells and cell clusters into type I collagen in all directions. The z-projection (2D image construction of all z-planes) can be used to calculate area of invasion.

Extended Data Fig. 3 Examples of spheroid formation around foreign particles.

a, Confocal (hoechst (blue), propidium iodide (red)), b, epifluorescence (propidium iodide (red)), and c) light microscopic images of spheroids formed around a foreign particle (e.g. dust particle).

Extended Data Fig. 4 Manual spheroid collection.

Manual collection of the spheroid out of the well can be visually checked (arrow indicates the spheroid in the pipette tip).

Extended Data Fig. 5 Anticipated results.

Principal component analysis plots of a, gene expression profiles of A549, HCT116, SKOV3 and U87MG spheroids cultured in 6 different medium types (every dot is the average of 4 biological replicates)1, b, protein expression profiles of HEK293T, HROC383 and PANC1 spheroids cultured in DMEM HG (every dot (biological replicates) represents the protein profile of 16 pooled spheroids), and c, lipid content profiles of HROC383 and PANC1 spheroids (every dot (biological replicates) represents the lipid profile of 25 pooled spheroids). d, A549 and SKOV3 spheroid sizes correlating with increasing seeding cell numbers. Every dot indicates the mean, error bars indicate standard deviation (N=4, n=8). e, Epifluorescent (green (eGFP) indicating viable cells, red (propidium iodide) indicating dead cells), confocal (green (eGFP) indicating viable cells, red (propidium iodide) indicating dead cells, blue (Hoechst) indicating nuclei) and IHC (Ki67 indicating proliferating cells) images of MCF-7/AZ eGFP spheroids. f, Relative growth curves of MCF-7/AZ eGFP spheroids cultured in 5 different medium types. Every dot represent the mean, error bars indicate standard deviation (n=32). g, Sizes of HCT116 spheroids cultured in DMEM HG and DMEM LG before and after normalisation, biological replicates are indicated by different colours (N=4), every dot is one spheroid (n ≤ 8). Panel a and d adapted from ref. 1, Springer Nature Limited.

Source data

Supplementary information

Supplementary Information

Supplementary Fig. 1.

Supplementary Video 1

Robot-assisted spheroid seeding.

Supplementary Video 2

Robot-assisted supernatant collection.

Supplementary Video 3

Confocal microscopic overview of a part of the spheroid with optical sectioning. Optical sections (7.2 µm steps) of a part (144 µm total depth) of an HCT116 spheroid (stained with Hoechst (blue) and propidium iodide (red)) demonstrating the limited penetration depth at which high resolution confocal microscopic images can be acquired.

Supplementary Video 4

Light-sheet fluorescence microscopic overview of the whole spheroid (nuclei staining) with optical sectioning. Optical sections (3.7 µm steps) of a cleared T47D spheroid (stained with DRAQ5 to indicate the nuclei) demonstrating the high penetration depth at which high resolution LSFM images can be acquired.

Supplementary Video 5

Light-sheet fluorescence microscopic overview of the whole spheroid (actin staining) with optical sectioning. Optical sections (3.7 µm steps) of a cleared T47D spheroid (stained with Flash Phalloidin Green 488 to indicate actin) demonstrating the high penetration depth at which high resolution LSFM images can be acquired.

Source data

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Blondeel, E., Ernst, S., De Vuyst, F. et al. Sequential orthogonal assays for longitudinal and endpoint characterization of three-dimensional spheroids. Nat Protoc 20, 2899–2941 (2025). https://doi.org/10.1038/s41596-025-01150-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41596-025-01150-y

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer