scholarly journals Oncolytic adenovirus programmed by synthetic gene circuit for cancer immunotherapy

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Huiya Huang ◽  
Yiqi Liu ◽  
Weixi Liao ◽  
Yubing Cao ◽  
Qiang Liu ◽  
...  

Abstract Improving efficacy of oncolytic virotherapy remains challenging due to difficulty increasing specificity and immune responses against cancer and limited understanding of its population dynamics. Here, we construct programmable and modular synthetic gene circuits to control adenoviral replication and release of immune effectors selectively in hepatocellular carcinoma cells in response to multiple promoter and microRNA inputs. By performing mouse model experiments and computational simulations, we find that replicable adenovirus has a superior tumor-killing efficacy than non-replicable adenovirus. We observe a synergistic effect on promoting local lymphocyte cytotoxicity and systematic vaccination in immunocompetent mouse models by combining tumor lysis and secretion of immunomodulators. Furthermore, our computational simulations show that oncolytic virus which encodes immunomodulators can exert a more robust therapeutic efficacy than combinatorial treatment with oncolytic virus and immune effector. Our results provide an effective strategy to engineer oncolytic adenovirus, which may lead to innovative immunotherapies for a variety of cancers.

2021 ◽  
pp. 1-18
Author(s):  
Andrew Lezia ◽  
Arianna Miano ◽  
Jeff Hasty

Author(s):  
Barbara Jusiak ◽  
Ramiz Daniel ◽  
Fahim Farzadfard ◽  
Lior Nissim ◽  
Oliver Purcell ◽  
...  

2019 ◽  
Vol 6 (3) ◽  
pp. 190286
Author(s):  
Genghong Lin ◽  
Feng Jiao ◽  
Qiwen Sun ◽  
Moxun Tang ◽  
Jianshe Yu ◽  
...  

The transcription of inducible genes involves signalling pathways that induce DNA binding of the downstream transcription factors to form functional promoter states. How the transcription dynamics is linked to the temporal variations of activation signals is far from being fully understood. In this work, we develop a mathematical model with multiple promoter states to address this question. Each promoter state has its own activation and inactivation rates and is selected randomly with a probability that may change in time. Under the activation of constant signals, our analysis shows that if only the activation rates differ among the promoter states, then the mean transcription level m ( t ) displays only a monotone or monophasic growth pattern. In a sharp contrast, if the inactivation rates change with the promoter states, then m ( t ) may display multiphasic growth patterns. Upon the activation of signals that oscillate periodically, m ( t ) also oscillates later, almost periodically at the same frequency, but the magnitude decreases with frequency and is almost completely attenuated at high frequencies. This gives a surprising indication that multiple promoter states could filter out the signal oscillation and the noise in the random promoter state selection, as observed in the transcription of a gene activated by p53 in breast carcinoma cells. Our approach may help develop a theoretical framework to integrate coherently the genetic circuit with the promoter states to elucidate the linkage from the activation signal to the temporal profile of transcription outputs.


2017 ◽  
Vol 1 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Huijuan Wang ◽  
Maurice H.T. Ling ◽  
Tze Kwang Chua ◽  
Chueh Loo Poh

2007 ◽  
Vol 28 (12) ◽  
pp. 1996-2004 ◽  
Author(s):  
Qiu-wei PAN ◽  
Su-yang ZHONG ◽  
Bi-sheng LIU ◽  
Jin LIU ◽  
Rong CAI ◽  
...  

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