Non-destructive monitoring of 3D cell cultures: new technologies and applications

Cortesi, Marilisa; Giordano, Emanuele

doi:10.7717/peerj.13338

Cited by 8 publications

(6 citation statements)

References 201 publications

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“…Computational modelling has acquired great relevance in biomedical and cancer research, both as a tool for fundamental research [52][53][54] and as an aid for clinical decision making [55]. As such, an in-depth analysis of the calibration and validation procedures is necessary to maximise the utility and accuracy of these models.…”

Section: Discussionmentioning

confidence: 99%

Model Parameter identification using 2D vs 3D experimental data: a comparative analysis

Cortesi

Liu

Yee

et al. 2023

Preprint

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Computational models are becoming an increasingly valuable tool in biomedical research. They enable the quantification of variables difficult to measure experimentally, an increase in the spatio-temporal resolution of the experiments and the testing of hypotheses. Parameter estimation from in-vitro data, remains a challenge, due to the limited availability of experimental datasets acquired in directly comparable conditions. While the use of computational models to supplement laboratory results contributes to this issue, a more extensive analysis of the effect of incomplete or inaccurate data on the parameter optimization process and its results is warranted. To this end, we compared the results obtained from the same in-silico model of ovarian cancer cell growth and metastasis, calibrated with datasets acquired from two different experimental settings: a traditional 2D monolayer, and 3D cell culture models. The differential behaviour of these models will inform the role and importance of experimental data in the calibration of computational models' calibration. This work will also provide a set of general guidelines for the comparative testing and selection of experimental models and protocols to be used for parameter optimization in computational models.

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Section: Discussionmentioning

confidence: 99%

Model Parameter identification using 2D vs 3D experimental data: a comparative analysis

Cortesi

Liu

Yee

et al. 2023

Preprint

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“…As highlighted in a recent review [46], non-destructive techniques for monitoring 3D cell cultures need to be developed. Aptly, we tested our in-house-built OPT-EIT imaging technique for monitoring the spheroids during culture.…”

Section: Discussionmentioning

confidence: 99%

Improvements in Maturity and Stability of 3D iPSC-Derived Hepatocyte-like Cell Cultures

Suominen,

Hyypijev,

Venäläinen

et al. 2023

Cells

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Induced pluripotent stem cell (iPSC) technology enables differentiation of human hepatocytes or hepatocyte-like cells (iPSC-HLCs). Advances in 3D culturing platforms enable the development of more in vivo-like liver models that recapitulate the complex liver architecture and functionality better than traditional 2D monocultures. Moreover, within the liver, non-parenchymal cells (NPCs) are critically involved in the regulation and maintenance of hepatocyte metabolic function. Thus, models combining 3D culture and co-culturing of various cell types potentially create more functional in vitro liver models than 2D monocultures. Here, we report the establishment of 3D cultures of iPSC-HLCs alone and in co-culture with human umbilical vein endothelial cells (HUVECs) and adipose tissue-derived mesenchymal stem/stromal cells (hASCs). The 3D cultures were performed as spheroids or on microfluidic chips utilizing various biomaterials. Our results show that both 3D spheroid and on-chip culture enhance the expression of mature liver marker genes and proteins compared to 2D. Among the spheroid models, we saw the best functionality in iPSC-HLC monoculture spheroids. On the contrary, in the chip system, the multilineage model outperformed the monoculture chip model. Additionally, the optical projection tomography (OPT) and electrical impedance tomography (EIT) system revealed changes in spheroid size and electrical conductivity during spheroid culture, suggesting changes in cell–cell connections. Altogether, the present study demonstrates that iPSC-HLCs can successfully be cultured in 3D as spheroids and on microfluidic chips, and co-culturing iPSC-HLCs with NPCs enhances their functionality. These 3D in vitro liver systems are promising human-derived platforms usable in various liver-related studies, specifically when using patient-specific iPSCs.

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“…Refs. [ [1] , [2] , [3] ]) and innovative non-destructive assays for the quantification of relevant features [ [4] , [5] , [6] , [7] , [8] ].…”

Section: Introductionmentioning

confidence: 99%

Driving cell response through deep learning, a study in simulated 3D cell cultures

Cortesi,

Giordano

2024

Heliyon

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Non-destructive monitoring of 3D cell cultures: new technologies and applications

Cited by 8 publications

References 201 publications

Model Parameter identification using 2D vs 3D experimental data: a comparative analysis

Model Parameter identification using 2D vs 3D experimental data: a comparative analysis

Improvements in Maturity and Stability of 3D iPSC-Derived Hepatocyte-like Cell Cultures

Driving cell response through deep learning, a study in simulated 3D cell cultures

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