ISSN: 1449-2288International Journal of Biological Sciences
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Int J Biol Sci 2020; 16(8):1441-1449. doi:10.7150/ijbs.42299 This issue Cite
Review
Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches
1. Key Laboratory of Medical Reprogramming Technology, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen 518035, China
2. Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen University School of Medicine, Shenzhen, 518035, China.
3. Carson International Cancer Center, Shenzhen University School of Medicine, Shenzhen, 518035, China.
4. Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, China.
*Hengji Zhan, Lulu Xiao and Aolin Li contributed equally to this work.
Citation:
Zhan H, Xiao L, Li A, Yao L, Cai Z, Liu Y. Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches. Int J Biol Sci 2020; 16(8):1441-1449. doi:10.7150/ijbs.42299. https://www.ijbs.com/v16p1441.htm
Other stylesAbstract
The discovery of the CRISPR systems has enriched the application of gene therapy and biotechnology. As a type of robust and simple toolbox, the CRISPR system has greatly promoted the development of cellular signal sensors at the genomic level. Although CRISPR systems have demonstrated that they can be used in eukaryotic and even mammalian cells after extraction from prokaryotic cells, controlling their gene-editing activity remains a challenge. Here we summarize the advantages and disadvantages of building a CRIRPR-based signal sensor through sgRNA reconstruction, as well as possible ways to reprogram the signal network of cells. We also propose how to further improve the design of the current signal sensors based on sgRNA-riboswitch. We believe that the development of these technologies and the construction of platforms can further promote the development of environment detection, disease diagnosis, and gene therapy by means of synthetic biology.
Keywords: CRISPR, signal sensor, riboswitch, sgRNA, synthetic biology
Citation styles
APA
Zhan, H., Xiao, L., Li, A., Yao, L., Cai, Z., Liu, Y. (2020). Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches. International Journal of Biological Sciences, 16(8), 1441-1449. https://doi.org/10.7150/ijbs.42299.
ACS
Zhan, H.; Xiao, L.; Li, A.; Yao, L.; Cai, Z.; Liu, Y. Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches. Int. J. Biol. Sci. 2020, 16 (8), 1441-1449. DOI: 10.7150/ijbs.42299.
NLM
Zhan H, Xiao L, Li A, Yao L, Cai Z, Liu Y. Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches. Int J Biol Sci 2020; 16(8):1441-1449. doi:10.7150/ijbs.42299. https://www.ijbs.com/v16p1441.htm
CSE
Zhan H, Xiao L, Li A, Yao L, Cai Z, Liu Y. 2020. Engineering Cellular Signal Sensors based on CRISPR-sgRNA Reconstruction Approaches. Int J Biol Sci. 16(8):1441-1449.
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