A Microfluidic Chip-Based Automated System for Whole-Course Monitoring the Drug Responses of Organoids.
Kexin ZhangJiyu XiYadong WangJianchao XueBowen LiZhicheng HuangZhibo ZhengNaixin LiangZewen WeiPublished in: Analytical chemistry (2024)
Tumor patients-derived organoids, as a promising preclinical prediction model, have been utilized to evaluate ex vivo drug responses for formulating optimal therapeutic strategies. Detecting adenosine triphosphate (ATP) has been widely used in existing organoid-based drug response tests. However, all commercial ATP detection kits containing the cell lysis procedure can only be applied for single time point ATP detection, resulting in the neglect of dynamic ATP variations in living cells. Meanwhile, due to the limited number of viable organoids from a single patient, it is impractical to exhaustively test all potential time points in search of optimal ones. In this work, a multifunctional microfluidic chip was developed to perform all procedures of organoid-based drug response tests, including establishment, culturing, drug treatment, and ATP monitoring of organoids. An ATP sensor was developed to facilitate the first successful attempt on whole-course monitoring the growth status of fragile organoids. To realize a clinically applicable automatic system for the drug testing of lung cancer, a microfluidic chip based automated system was developed to perform entire organoid-based drug response test, bridging the gap between laboratorial manipulation and clinical practices, as it outperformed previous methods by improving data repeatability, eliminating human error/sample loss, and more importantly, providing a more accurate and comprehensive evaluation of drug effects.
Keyphrases
- high throughput
- circulating tumor cells
- single cell
- adverse drug
- deep learning
- healthcare
- machine learning
- end stage renal disease
- primary care
- endothelial cells
- induced pluripotent stem cells
- high resolution
- drug delivery
- cell therapy
- mesenchymal stem cells
- peritoneal dialysis
- fluorescent probe
- data analysis
- patient reported outcomes