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Programmable Synthetic Protein Circuits for the Identification and Suppression of Hepatocellular Carcinoma

Authors :
Jun Weng
Qing Peng
Kaiyu Liu
Fanhong Zeng
Jiong Yang
Li Shen
Yi Gao
Yue Zhang
Shigang Ding
Xu Han
Source :
Molecular Therapy Oncolytics, Molecular Therapy: Oncolytics, Vol 17, Iss, Pp 70-82 (2020)
Publication Year :
2020
Publisher :
American Society of Gene & Cell Therapy, 2020.

Abstract

Precisely identifying and killing tumor cells are diligent pursuits in oncotherapy. Synthesized gene circuits have emerged as an intelligent weapon to solve these problems. Gene circuits based on post-transcriptional regulation enable a faster response than systems based on transcriptional regulation, which requires transcription and translation, showing superior safety. In this study, synthetic-promoter-free gene circuits possessing two control layers were constructed to improve the specific recognition of tumor cells. Using split-TEV, we designed and verified the basic control layer of protein-protein interaction (PPI) sensing. Another orthogonal control layer was built to sense specific proteins. Two layers were integrated to generate gene circuits sensing both PPI and specific proteins, forming 10 logic gates. To demonstrate the utility of this system, the circuit was engineered to sense alpha-fetoprotein (AFP) expression and the PPI between YAP and 14-3-3σ, the matching profile of hepatocellular carcinoma (HCC). Gene-circuit-loaded cells distinguished HCC from other cells and released therapeutic antibodies, exhibiting in vitro and in vivo therapeutic effects.<br />Graphical Abstract<br />This research used split TEV to design synthetic-promoter-free gene circuits for PPI sensing and specific protein sensing. Ten logic gates were formed to integrate the two sensing units. The circuit was utilized to distinguish HCC and release therapeutic antibodies in vitro and in vivo through sensing AFP expression and YAP/14-3-3σ interaction.

Details

Language :
English
ISSN :
23727705
Volume :
17
Database :
OpenAIRE
Journal :
Molecular Therapy Oncolytics
Accession number :
edsair.doi.dedup.....28cf37c385e14917698f71885a037498