Current Technologies of Synthetic Biosensors for Disease Detection:Design,Classification and Future Perspectives

作     者：Xue Chen Yi Lv Rongqian Wu 

作者机构：National-Local Joint Engineering Research Center for Precision Surgery&Regenerative MedicineShaanxi Provincial Center for Regenerative Medicine and Surgical EngineeringInstitute of Advanced Surgical Technology and Engineeringthe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710061China 

出 版 物：《Chinese Medical Sciences Journal》 (中国医学科学杂志（英文版）)

年 卷 期：2018年第33卷第4期

页      面：240-251页

核心收录：

学科分类：10[医学] 

基　　金：Fund supported by the National Natural Science Foundation of China (81770491) and the Ministry of Education Innovation TeamDevelopment Program of China (IRT16R57) 

主　　题：synthetic biosensor gene circuit disease detection 

摘      要：Synthetic biology aims to endow living cells with new functions by incorporating functional gene networks into *** overexpressing,blocking and rewiring native gene pathways,synthetic biologists have harnessed this promising technology to reprogram cells to perform diverse tasks such as drug discovery,biopharmaceutical manufacturing,gene therapy and tissue engineering,*** this review,we focus on current technologies of synthetic biosensors for disease *** start with the design principle of synthetic *** we move towards the characteristics of simple synthetic biosensors,which can respond to a single input signal,and complex synthetic biosensors including Boolean gate biosensors,cascade biosensors,time-delay biosensors,oscillator biosensors and hysteretic biosensors,which can respond to more than two input signals and perform complex *** biosensor has showed great potential in disease detection,but it is still in its infancy *** efforts should be made in identifying and constructing clinically relevant regulation *** tools are also needed in the design process in order to guarantee the precision of the synthetic *** ultimate goal of a synthetic biosensor is to act as a therapeutic sensor-effector device that connects diagnostic input with therapeutic output and therefore provides all-in-one diagnostic and therapeutic solutions for future gene-and cell-based therapies.