Expression data from colorectal carcinoma HCT-15 treated with oncolytic virus M1 and U0126
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE134487 | GEO | 2019/07/19
REPOSITORIES: GEO
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Project description:Virus infection is a kind of immune stimulation, except anti-viral factors, virus also induce tumor cells to secret cytokines which act on neighboring cells. Figuring out the exact cytokines upregulated by M1 virus is of great significance. We used microarry data to detail the expression of cytokines, chemokines and Inflammasomes regulated by oncolytic virus M1.
2016-12-27 | GSE92918 | GEO
Project description:Expression data from colorectal carcinoma HCT-15 treated with oncolytic virus M1 and U0126
| PRJNA555317 | ENA
Project description:Although promising, dendritic cell (DC) vaccines still provide limited clinical benefits, mainly due to the immunosuppressive tumor microenvironment (TME) and the lack of tumor-associated antigens (TAAs). Oncolytic viruses are considered to be an ideal strategy to overcome immunosuppression and expose TAAs, therefore they may work synergistically with DC vaccines. In this study, we demonstrated that oncolytic virus M1 (OVM) can enhance the antitumor effects of DC vaccine in a variety of syngeneic tumor mouse models by increasing the infiltration of CD8+ effector T cells in the TME. Mechanically, we identified that tumor cells offset the function of DC vaccines through the myeloid immune checkpoint SIRPα-CD47, while OVM can downregulate the expression of SIRPα and CD47 in DCs and tumor cells, respectively. Based on the fact that OVM upregulates the expression of PD-L1 in DCs, PD-L1 blockade was introduced with the combination of DC vaccines and OVM, resulting in a further potentiation of antitumor activity. Overall, we revealed that OVM can strengthen the antitumor efficacy of DC vaccines by targeting the immune checkpoint SIRPα-CD47 axis, which exerts dominant immunosuppressive effects on DC vaccines.
2023-09-01 | GSE222080 | GEO
Project description:The paper describes a model of oncolytic virotherapy.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
A mathematical model verifying potent oncolytic efficacy of M1 virus
Zizi Wang, Zhiming Guo, Huaqin Peng
Mathematical Biosciences 276 (2016) 19–27
Abstract:
Motivated by the latest findings in a recent medical experiment [19] which identify a naturally occurring alphavirus (M1) as a novel selective killer targeting zinc-finger antiviral protein (ZAP)-deficient cancer cells, we propose a mathematical model to illustrate the growth of normal cells, tumor cells and the M1 virus with limited nutrient. In order to better understand biological mechanisms, we discuss two cases of the model: without competition and with competition. In the first part, the explicit threshold condi- tions for the persistence of normal cells (or tumor cells) is obtained accompanying with the biological explanations. The second part indicates that when competing with tumor cells, the normal cells will ex- tinct if M1 virus is ignored; Whereas, when M1 virus is considered, the growth trend of normal cells is similar to the one without competition. And by using uniformly strong repeller theorem, the minimum effective dosage of medication is explicitly found which is not reported in [19]. Furthermore, numerical simulations and corresponding biological interpretations are given to support our results.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-06 | BIOMD0000000780 | BioModels
Project description:The paper describes a basic model of oncolytic virotherapy.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
A mathematical model verifying potent oncolytic efficacy of M1 virus
Zizi Wang, Zhiming Guo, Huaqin Peng
Mathematical Biosciences 276 (2016) 19–27
Abstract:
Motivated by the latest findings in a recent medical experiment [19] which identify a naturally occurring alphavirus (M1) as a novel selective killer targeting zinc-finger antiviral protein (ZAP)-deficient cancer cells, we propose a mathematical model to illustrate the growth of normal cells, tumor cells and the M1 virus with limited nutrient. In order to better understand biological mechanisms, we discuss two cases of the model: without competition and with competition. In the first part, the explicit threshold condi- tions for the persistence of normal cells (or tumor cells) is obtained accompanying with the biological explanations. The second part indicates that when competing with tumor cells, the normal cells will ex- tinct if M1 virus is ignored; Whereas, when M1 virus is considered, the growth trend of normal cells is similar to the one without competition. And by using uniformly strong repeller theorem, the minimum effective dosage of medication is explicitly found which is not reported in [19]. Furthermore, numerical simulations and corresponding biological interpretations are given to support our results.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-06 | BIOMD0000000782 | BioModels
Project description:The paper describes a model of oncolytic virotherapy.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
A mathematical model verifying potent oncolytic efficacy of M1 virus
Zizi Wang, Zhiming Guo, Huaqin Peng
Mathematical Biosciences 276 (2016) 19–27
Abstract:
Motivated by the latest findings in a recent medical experiment [19] which identify a naturally occurring alphavirus (M1) as a novel selective killer targeting zinc-finger antiviral protein (ZAP)-deficient cancer cells, we propose a mathematical model to illustrate the growth of normal cells, tumor cells and the M1 virus with limited nutrient. In order to better understand biological mechanisms, we discuss two cases of the model: without competition and with competition. In the first part, the explicit threshold condi- tions for the persistence of normal cells (or tumor cells) is obtained accompanying with the biological explanations. The second part indicates that when competing with tumor cells, the normal cells will ex- tinct if M1 virus is ignored; Whereas, when M1 virus is considered, the growth trend of normal cells is similar to the one without competition. And by using uniformly strong repeller theorem, the minimum effective dosage of medication is explicitly found which is not reported in [19]. Furthermore, numerical simulations and corresponding biological interpretations are given to support our results.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-06 | BIOMD0000000781 | BioModels
Project description:The goal of the study was to determine whether photodynamic oncolytic virus therapy of glioblastoma and malignant meningioma xenografts in mice alters transciptomics associated with efficacy. RNA sequencing was used from tumors treated with PBS, laser, G47delta-KillerRed, and G47delta-KillerRed and laser, which is photodynamic oncolytic virus therapy.
2023-01-18 | GSE222895 | GEO
Project description:The goal of the study was to determine whether low dose HDACi sensitizes human malignant meningioma cells to the cytotoxic capacity of oncolytic herpes simplex virus G47delta. RNA sequencing was used to examine transcriptomic changes mediated by HDACi preexposure before oncolytic virus infection.
2022-08-02 | GSE210178 | GEO
Project description:Gene set enhancement analysis (GSEA) revealed that M1 treatment upregulates glycolysis and hypoxia pathway in hallmark gene sets. GSEA revealed that Lonidamine strongly inhibited the IFN-α and IFN-β response pathways after M1 virus infection. GSEA showed that gene sets in unfolded protein response, response to endoplasmic reticulum stress, intrinsic apoptotic signaling pathway were significantly upregulated by Lonidamine plus M1 treatment.
2020-11-16 | GSE152876 | GEO
Project description:Oncolytic viruses are complex biological agents that interact at multiple levels with both tumor and normal tissues. Anti-viral pathways induced by interferon are known to play a critical role in determining tumor cell sensitivity and normal cell resistance to infection with oncolytic viruses. Here we pursue a synthetic biology approach to identify methods that enhance anti-tumor activity of oncolytic viruses through suppression of IFN signaling. Based on the mathematical analysis of multiple strategies, we hypothesize that a positive feedback loop, established by virus-mediated expression of a soluble interferon-binding decoy receptor, increases tumor cytotoxicity without compromising normal cells. Oncolytic rhabodviruses engineered to express a secreted interferon antagonist have improved oncolytic potential in cellular cancer models, and display improved therapeutic potential in tumor-bearing mice. Our results demonstrate the potential of this methodology in evaluating potential caveats of viral immune evasion strategies and improving the design of oncolytic viruses. The following series of microarray experiments was utilized to assess the impact of cloning an IFN decoy receptor isolated from vaccinia virus termed B19R on the transcriptional response against an IFN sensitive maraba virus strain termed MG1. RNA extraction was performed 24h post infection in 786-0 cells. Duplicate samples were pooled, and hybridized on Affymetrix human gene 1.0 ST arrays according to manufacturer instructions. Data analysis was performed using AltAnalyze. Briefly, probeset filtering implemented a DABG threshold of 70 & pV<0.05 and utilized exclusively constitutively expressed exons to assess levels of gene expression.
2013-06-01 | E-MTAB-1636 | biostudies-arrayexpress