Characterization and optimization of variability in a human colonic epithelium culture model
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Controlling cell passage number in human intestinal models reduces variability, enhancing their predictive power for drug efficacy and toxicity. This optimization allows for the detection of biological differences across human donors.
Area Of Science
- Gastrointestinal (GI) research
- Drug development
- Cell culture models
Background
- Animal models poorly predict human GI drug efficacy and toxicity.
- Human stem and primary cell-derived cultures offer improved preclinical relevance.
- Variability in stem cell differentiation hinders reproducible assay development.
Purpose Of The Study
- Characterize and reduce variability in the RepliGut® Planar intestinal model.
- Assess impact of donor, cell lot, and passage number on model consistency.
- Evaluate model's utility for predicting drug responses and pharmacokinetics.
Main Methods
- Utilized RepliGut® Planar, a complex stem cell-derived intestinal epithelium model.
- Assessed barrier formation/integrity, gene expression, and cytokine responses.
- Analyzed data across multiple human donors, cell lots, and passage numbers.
Main Results
- Controlling cell passage number significantly reduced model variability.
- Optimized passage number maximized physiological relevance.
- Distinct cytokine responses were observed among different human donors, indicating biological variability detection.
Conclusions
- Cell passage number is a critical factor for reducing variability in stem cell-derived intestinal models.
- The RepliGut® Planar platform demonstrates utility for robust, human-predictive drug-response assays.
- Findings provide considerations for designing assays in other primary cell-derived systems.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.