桥接(联网)
数据科学
转化式学习
边疆
计算机科学
转化研究
适应(眼睛)
药物发现
新兴技术
工程类
生物技术
数据集成
管理科学
纳米技术
生化工程
钥匙(锁)
组学
人类健康
人类疾病
范围(计算机科学)
系统生物学
范式转换
作者
Zhaoming Cheng,Chuanjun Zhang,Xuwen Li,Yanxue Wei,Zhewei Zhang,Mohan Li,Qi Yu,Yuxin Fang,Di Zhang
摘要
Organ-on-a-Chip (OOC) technology offers a powerful platform for replicating human tissue-specific microenvironments, thereby narrowing the translational gap between conventional biomedical models and actual human physiology. Concurrently, omics technologies deliver comprehensive molecular-level insights into biological systems. This review highlights the transformative potential of integrating OOC platforms with high-throughput omics methodologies. We systematically examine the classification, structural configurations, and engineering principles underlying OOC systems, alongside the defining attributes of key omics domains-genomics, transcriptomics, proteomics, and metabolomics. The convergence of dynamic OOC models with advanced omics technologies enables high-resolution, multi-dimensional analyses across numerous biomedical applications, including drug metabolism, disease mechanisms, environmental toxicity assessments, and host-microbiome interactions. This interdisciplinary integration is driving a paradigm shift in precision and translational medicine. However, several challenges remain to be addressed, such as the development of whole-organ mimetics, adaptation of sample collection techniques, and real-time artificial intelligence-based integration of biosensor data with multi-omics datasets. Addressing these hurdles will be vital for unlocking the full potential of this technological synergy in biomedical science.
科研通智能强力驱动
Strongly Powered by AbleSci AI