RESUMEN
Animal models have historically been poor preclinical predictors of gastrointestinal (GI) directed therapeutic efficacy and drug-induced GI toxicity. Human stem and primary cell-derived culture systems are a major focus of efforts to create biologically relevant models that enhance preclinical predictive value of intestinal efficacy and toxicity. The inherent variability in stem cell-based cultures makes development of useful models a challenge; the stochastic nature of stem cell differentiation interferes with the ability to build and validate reproducible assays that query drug responses and pharmacokinetics. In this study, we aimed to characterize and reduce sources of variability in a complex stem cell-derived intestinal epithelium model, termed RepliGut® Planar, across cells from multiple human donors, cell lots, and passage numbers. Assessment criteria included barrier formation and integrity, gene expression, and cytokine responses. Gene expression and culture metric analyses revealed that controlling cell passage number reduces variability and maximizes physiological relevance of the model. In a case study where passage number was optimized, distinct cytokine responses were observed among four human donors, indicating that biological variability can be detected in cell cultures originating from diverse human sources. These findings highlight key considerations for designing assays that can be applied to additional primary cell-derived systems, as well as establish utility of the RepliGut® Planar platform for robust development of human-predictive drug-response assays.
Animal models are frequently used as tools for studying gastrointestinal (GI) disease, but they inadequately replicate the complexities of the human gut, making them poor predictors of how humans respond to new drugs. Models using human stem cells are closer to human GI physiology, but their responses are not uniform owing to variability in the stem cells. We looked for the sources of this variability in the primary stem-cell derived RepliGut® Planar model. We found that limiting how long the cells were kept in culture reduced their variability and improved the physiological relevance of the model. These findings highlight key assay design considerations that also can be applied to other primary cell-derived systems. Reliable and physiologically relevant cell-based models can reduce animal testing, improve research accuracy, and ensure new treatments are more relevant and effective for patients.
Asunto(s)
Mucosa Intestinal , Humanos , Mucosa Intestinal/citología , Colon/citología , Alternativas a las Pruebas en Animales , Técnicas de Cultivo de Célula/métodos , Células Cultivadas , Diferenciación Celular , Modelos Biológicos , Citocinas/metabolismo , Células MadreRESUMEN
Oncoviruses cause tremendous global cancer burden. For several DNA tumor viruses, human genome integration is consistently associated with cancer development. However, genomic features associated with tumor viral integration are poorly understood. We sought to define genomic determinants for 1897 loci prone to hosting human papillomavirus (HPV), hepatitis B virus (HBV) or Merkel cell polyomavirus (MCPyV). These were compared to HIV, whose enzyme-mediated integration is well understood. A comprehensive catalog of integration sites was constructed from the literature and experimentally-determined HPV integration sites. Features were scored in eight categories (genes, expression, open chromatin, histone modifications, methylation, protein binding, chromatin segmentation and repeats) and compared to random loci. Random forest models determined loci classification and feature selection. HPV and HBV integrants were not fragile site associated. MCPyV preferred integration near sensory perception genes. Unique signatures of integration-associated predictive genomic features were detected. Importantly, repeats, actively-transcribed regions and histone modifications were common tumor viral integration signatures.