Pvrig-KO 基因敲除小鼠

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产品名称

Pvrig-KO 基因敲除小鼠

产品编号

S-KO-00273

品系全称

C57BL/6JCya-Pvrigem1/Cya

品系背景

C57BL/6JCya

品系编号

KOCMP-102640920-Pvrig-B6J-VA

品系状态

使用本品系发表的文献需注明: Pvrig-KO 基因敲除小鼠 mice (Strain S-KO-00273) were purchased from Cyagen.
交付类型
周龄
性别
基因型
数量

基本信息

基因研究概述

质控标准

基因
基因全称
poliovirus receptor related immunoglobulin domain containing
基因别称
Gm36869
染色体号
Chr 5 (Mouse)
转录本 ID
NCBI: NM_001378438 | Ensembl: ENSMUST00000211088
修饰方式
全身性基因敲除
靶向范围
Exon 1~5
敲除长度
~3.0 kb
品系说明
该品系是基于策略设计时的数据库信息制作而成,建议您在购买前查询最新的数据库和相关文献,以获取最准确的表型信息。
表型提示
MGI:5596028Mice homozygous for a null allele exhibit increased CD8+ effector T cell function and growth inhibition of implanted tumor cells.
PVRIG(Polymeric Immunoglobulin Receptor-related protein I),也称为DNAM-1轴的抑制受体,是一种重要的免疫调节分子。PVRIG属于免疫球蛋白超家族,与DNAM-1、TIGIT等分子共同构成DNAM-1轴,参与调节T细胞的免疫应答。PVRIG在多种免疫细胞中表达,包括T细胞、NK细胞等,其表达水平与免疫细胞的活化和功能密切相关。

PVRIG通过与PVRL2(Polymeric Immunoglobulin Receptor-related protein II)结合,抑制CD8+ T细胞的活化和功能。PVRL2在肿瘤细胞中表达,PVRIG在T细胞中表达,两者结合后,PVRIG-PVRL2信号通路被激活,抑制T细胞的免疫应答。研究发现,PVRIG的表达与多种癌症的发生和发展密切相关,如卵巢癌、结直肠癌等。PVRIG的表达水平与肿瘤的浸润程度和患者预后相关。此外,PVRIG的表达还与多种疾病相关,如脓毒症、糖尿病等。

在脓毒症中,PVRIG的表达水平升高,可能与脓毒症的病理生理过程有关。在糖尿病中,PVRIG的表达水平与糖尿病相关动脉粥样硬化的发生和发展相关。此外,PVRIG的表达还与多发性骨髓瘤、肝细胞癌等疾病相关。

研究表明,PVRIG的表达水平与肿瘤的免疫微环境密切相关。在肝细胞癌中,PVRIG的表达水平与肿瘤的免疫微环境相关,PVRIG的表达水平越高,肿瘤的免疫微环境越活跃。在多发性骨髓瘤中,PVRIG的表达水平与肿瘤的免疫微环境相关,PVRIG的表达水平越高,肿瘤的免疫微环境越活跃。

PVRIG的表达水平还与肿瘤的免疫治疗相关。研究发现,PVRIG的表达水平与肿瘤对免疫治疗的反应相关。在肝细胞癌中,PVRIG的表达水平与肿瘤对免疫治疗的反应相关,PVRIG的表达水平越高,肿瘤对免疫治疗的反应越好。在多发性骨髓瘤中,PVRIG的表达水平与肿瘤对免疫治疗的反应相关,PVRIG的表达水平越高,肿瘤对免疫治疗的反应越好。

综上所述,PVRIG是一种重要的免疫调节分子,参与调节T细胞的免疫应答。PVRIG在多种免疫细胞中表达,其表达水平与免疫细胞的活化和功能密切相关。PVRIG的表达水平与多种癌症的发生和发展密切相关,如卵巢癌、结直肠癌等。PVRIG的表达水平还与多种疾病相关,如脓毒症、糖尿病等。PVRIG的表达水平与肿瘤的免疫微环境密切相关,PVRIG的表达水平还与肿瘤的免疫治疗相关。因此,PVRIG在免疫治疗和疾病治疗中具有重要的研究价值和应用前景[1][2][3][4][5][6][7][8][9][10]。

参考文献:
1. Dong, Zehua, Xu, Mengli, Sun, Xu, Wang, Xiaosheng. 2023. Mendelian randomization and transcriptomic analysis reveal an inverse causal relationship between Alzheimer's disease and cancer. In Journal of translational medicine, 21, 527. doi:10.1186/s12967-023-04357-3. https://pubmed.ncbi.nlm.nih.gov/37542274/
2. Whelan, Sarah, Ophir, Eran, Kotturi, Maya F, Pardoll, Drew M, Liang, Spencer C. 2019. PVRIG and PVRL2 Are Induced in Cancer and Inhibit CD8+ T-cell Function. In Cancer immunology research, 7, 257-268. doi:10.1158/2326-6066.CIR-18-0442. https://pubmed.ncbi.nlm.nih.gov/30659054/
3. Lu, Junyu, Li, Qian, Wu, Zimeng, Feng, Jihua, Zhang, Jianfeng. 2020. Two gene set variation indexes as potential diagnostic tool for sepsis. In American journal of translational research, 12, 2749-2759. doi:. https://pubmed.ncbi.nlm.nih.gov/32655806/
4. Sato, Keiko, Miura, Kentaro, Tamori, Shoma, Akimoto, Kazunori. . Identification of a Gene Expression Signature to Predict the Risk of Early Recurrence and the Degree of Immune Cell Infiltration in Triple-negative Breast Cancer. In Cancer genomics & proteomics, 21, 316-326. doi:10.21873/cgp.20450. https://pubmed.ncbi.nlm.nih.gov/38670590/
5. Jayaraman, Arathi, Zhou, Tong, Jayaraman, Sundararajan. . Histone Modifier Differentially Regulates Gene Expression and Unravels Survival Role of MicroRNA-494 in Jurkat Leukemia. In MicroRNA (Shariqah, United Arab Emirates), 10, 39-50. doi:10.2174/2211536610666210412153322. https://pubmed.ncbi.nlm.nih.gov/33845753/
6. Lee, Nam Hee, Kim, Mikyung, Oh, Sung Yong, Kwon, Hyuk-Chan, Hwang, Tae-Ho. . Gene expression profiling of hematologic malignant cell lines resistant to oncolytic virus treatment. In Oncotarget, 8, 1213-1225. doi:10.18632/oncotarget.13598. https://pubmed.ncbi.nlm.nih.gov/27901484/
7. Frenkel, Masha, Alteber, Zoya, Xu, Ning, Berenson, James, Ophir, Eran. 2024. The inhibitory receptor PVRIG is dominantly expressed in the bone marrow of patients with multiple myeloma and its blockade enhances T-cell engager's immune activation. In Experimental hematology, 143, 104696. doi:10.1016/j.exphem.2024.104696. https://pubmed.ncbi.nlm.nih.gov/39694409/
8. Huang, Qi, Deng, Guoxiong, Wei, Rongguo, Zou, Donghua, Wei, Jinru. 2020. Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis. In Frontiers in cardiovascular medicine, 7, 580573. doi:10.3389/fcvm.2020.580573. https://pubmed.ncbi.nlm.nih.gov/33195466/
9. Qiao, Guo-Jie, Chen, Liang, Wu, Jin-Cai, Li, Zhou-Ri. 2019. Identification of an eight-gene signature for survival prediction for patients with hepatocellular carcinoma based on integrated bioinformatics analysis. In PeerJ, 7, e6548. doi:10.7717/peerj.6548. https://pubmed.ncbi.nlm.nih.gov/30918751/
10. Bertucci, François, Boudin, Laurys, Finetti, Pascal, Birnbaum, Daniel, Mamessier, Emilie. 2021. Immune landscape of inflammatory breast cancer suggests vulnerability to immune checkpoint inhibitors. In Oncoimmunology, 10, 1929724. doi:10.1080/2162402X.2021.1929724. https://pubmed.ncbi.nlm.nih.gov/34104544/