ArticlePloS one2017
A computational modelling framework to quantify the effects of passaging cell lines.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A Mathematical Model for Determining Probabilistic Design Space in Mesenchymal Stem Cell Passage Culture.Biotechnology and bioengineering · 2025Article
- A Truncated Mutation of TP53 Promotes Chemoresistance in Tongue Squamous Cell Carcinoma.International journal of molecular sciences · 2025Article
- Review
- A Personalized Glomerulus Chip Engineered from Stem Cell-Derived Epithelium and Vascular Endothelium.Micromachines · 2021Article
- Magnesium ions regulate mesenchymal stem cells population and osteogenic differentiation: A fuzzy agent-based modeling approach.Computational and structural biotechnology journal · 2021Article
- The effect of repeated passaging on the susceptibility of human proximal tubular HK-2 cells to toxic compounds.Physiological research · 2020Article
- An Experimental Investigation of Ultraweak Photon Emission from Adult Murine Neural Stem Cells.Scientific reports · 2020Article
- Renogenic characterization and in vitro differentiation of rat amniotic fluid stem cells into renal proximal tubular- and juxtaglomerular-like cells.In vitro cellular & developmental biology. Animal · 2019Article
- The Tumorgenicity of Glioblastoma Cell Line U87MG Decreased During Serial In Vitro Passage.Cellular and molecular neurobiology · 2018Article
- Evaluation of NCI-7 Cell Line Panel as a Reference Material for Clinical Proteomics.Journal of proteome research · 2018Article
- Modelling of the SDF-1/CXCR4 regulatedPeerJ · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vitro cell culture is routinely used to grow and supply a sufficiently large number of cells for various types of cell biology experiments. Previous experimental studies report that cell characteristics evolve as the passage number increases, and various cell lines can behave differently at high passage numbers. To provide insight into the putative mechanisms that might give rise to these differences, we perform in silico experiments using a random walk model to mimic the in vitro cell culture process. Our results show that it is possible for the average proliferation rate to either increase or decrease as the passaging process takes place, and this is due to a competition between the initial heterogeneity and the degree to which passaging damages the cells. We also simulate a suite of scratch assays with cells from near-homogeneous and heterogeneous cell lines, at both high and low passage numbers. Although it is common in the literature to report experimental results without disclosing the passage number, our results show that we obtain significantly different closure rates when performing in silico scratch assays using cells with different passage numbers. Therefore, we suggest that the passage number should always be reported to ensure that the experiment is as reproducible as possible. Furthermore, our modelling also suggests some avenues for further experimental examination that could be used to validate or refine our simulation results.
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