Rhoq-flox 基因敲除小鼠

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产品名称

Rhoq-flox 基因敲除小鼠

产品编号

S-CKO-00375

品系全称

C57BL/6JCya-Rhoqem1flox/Cya

品系背景

C57BL/6JCya

品系编号

CKOCMP-104215-Rhoq-B6J-VA

品系状态

使用本品系发表的文献需注明: Rhoq-flox 基因敲除小鼠 mice (Strain S-CKO-00375) were purchased from Cyagen.
交付类型
周龄
性别
基因型
数量
cKO小鼠库模型

基本信息

基因研究概述

质控标准

基因
基因全称
ras homolog family member Q
基因别称
Arhq,TC10A,Tc10
染色体号
Chr 17 (Mouse)
转录本 ID
NCBI: NM_145491.2 | Ensembl: ENSMUST00000024956
修饰方式
条件性基因敲除
靶向范围
Exon 2
敲除长度
~559 bp
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:1931553Mice homozygous for a null allele exhibit normal brain development but show reduced axon regeneration after injury in both the peripheral and central nervous systems. Cultured hippocampal neurons display reduced axon elongation without affecting polarization.
RhoQ,也称为Ras同源家族成员Q,是Rho GTPase家族的一员,具有与Cdc42和RhoJ相似的序列和结构特征。Rho GTPases是一类重要的信号转导分子,参与调控细胞的形态、运动和细胞骨架的重组。RhoQ在神经系统的动态中发挥重要作用,同时在其他细胞类型中也具有多种功能,包括参与膜转运和胰岛素刺激的葡萄糖摄取等。

根据研究,RhoQ在结直肠癌(CRC)中具有促进肿瘤侵袭的作用。研究发现,在CRC肿瘤组织中,RhoQ的RNA编辑水平升高,导致天冬酰胺残基被丝氨酸替代,这种氨基酸替代增加了RhoQ蛋白的活性,进而促进了细胞骨架的重排和肿瘤细胞的侵袭能力[1]。此外,RhoQ的表达水平与CRC患者的预后相关,低RhoQ表达与不良预后相关[2]。

在肺癌中,RhoQ的表达水平与转化生长因子β(TGF-β)诱导的上皮间质转化(EMT)过程相关。研究发现,抑制RhoQ的表达可以促进TGF-β诱导的EMT和肿瘤细胞的侵袭能力。RhoQ的表达水平与肺癌患者的总体生存率相关,低RhoQ表达与不良预后相关[3]。

除了在癌症中的作用外,RhoQ还与其他疾病相关。研究发现,在非瓣膜性房颤(NVAF)患者中,RhoQ的表达水平显著降低,而其他Rho GTPase蛋白的表达水平没有明显变化[4]。此外,在阿尔茨海默病(AD)中,RhoQ的表达水平升高,与疾病的严重程度和免疫细胞浸润相关[5]。还有研究发现,RhoQ的抑制可以增强M1病毒对癌细胞的杀伤作用[6]。

综上所述,RhoQ是一种重要的Rho GTPase家族成员,参与调控细胞的形态、运动和细胞骨架的重组。RhoQ在结直肠癌和肺癌中发挥促进肿瘤侵袭的作用,其表达水平与患者的预后相关。此外,RhoQ还与其他疾病相关,如非瓣膜性房颤和阿尔茨海默病。深入研究RhoQ的功能和机制,有助于更好地理解其与疾病发生发展的关系,为疾病的治疗和预防提供新的思路和策略。

参考文献:
1. Han, Sae-Won, Kim, Hwang-Phill, Shin, Jong-Yeon, Kim, Jong-Il, Kim, Tae-You. 2014. RNA editing in RHOQ promotes invasion potential in colorectal cancer. In The Journal of experimental medicine, 211, 613-21. doi:10.1084/jem.20132209. https://pubmed.ncbi.nlm.nih.gov/24663214/
2. Satoh, Kotone, Sakai, Satoshi, Nishizuka, Makoto. 2022. Knockdown of RhoQ, a member of Rho GTPase, accelerates TGF-β-induced EMT in human lung adenocarcinoma. In Biochemistry and biophysics reports, 32, 101346. doi:10.1016/j.bbrep.2022.101346. https://pubmed.ncbi.nlm.nih.gov/36120491/
3. Düzen, Irfan V, Yavuz, Fethi, Vuruskan, Ertan, Sucu, Murat, Demiryürek, Abdullah T. 2019. Investigation of leukocyte RHO/ROCK gene expressions in patients with non-valvular atrial fibrillation. In Experimental and therapeutic medicine, 18, 2777-2782. doi:10.3892/etm.2019.7929. https://pubmed.ncbi.nlm.nih.gov/31572525/
4. Lian, Piaopiao, Cai, Xing, Yang, Xiaoman, Cao, Xuebing, Xu, Yan. 2024. Analysis and experimental validation of necroptosis-related molecular classification, immune signature and feature genes in Alzheimer's disease. In Apoptosis : an international journal on programmed cell death, 29, 726-742. doi:10.1007/s10495-024-01943-8. https://pubmed.ncbi.nlm.nih.gov/38478169/
5. Hill, Mason A, Gammie, Stephen C. 2022. Alzheimer's disease large-scale gene expression portrait identifies exercise as the top theoretical treatment. In Scientific reports, 12, 17189. doi:10.1038/s41598-022-22179-z. https://pubmed.ncbi.nlm.nih.gov/36229643/
6. Sundararaman, Ananthalakshmy, Fukushima, Yoko, Norman, Jim C, Uemura, Akiyoshi, Mellor, Harry. 2020. RhoJ Regulates α5β1 Integrin Trafficking to Control Fibronectin Remodeling during Angiogenesis. In Current biology : CB, 30, 2146-2155.e5. doi:10.1016/j.cub.2020.03.042. https://pubmed.ncbi.nlm.nih.gov/32302585/
7. Wu, D J, Chen, K, Wei, X Z, Zhu, X D, Li, M. 2014. Analysis of intervertebral disc-related genes. In Genetics and molecular research : GMR, 13, 2032-8. doi:10.4238/2014.March.24.7. https://pubmed.ncbi.nlm.nih.gov/24737428/
8. Wang, Fang, Liang, Ying, Wang, Qin-Wen. 2024. Interpretable machine learning-driven biomarker identification and validation for Alzheimer's disease. In Scientific reports, 14, 30770. doi:10.1038/s41598-024-80401-6. https://pubmed.ncbi.nlm.nih.gov/39730451/
9. Liang, Jiankai, Guo, Li, Li, Kai, Lin, Yuan, Yan, Guangmei. 2018. Inhibition of the mevalonate pathway enhances cancer cell oncolysis mediated by M1 virus. In Nature communications, 9, 1524. doi:10.1038/s41467-018-03913-6. https://pubmed.ncbi.nlm.nih.gov/29670091/
10. Gu, Xinyi, Guo, Hao, Zeng, Canjun, Liu, Yijun. 2022. Identification and validation of MicroRNA-mRNA Networks in Dorsal Root Ganglia after Peripheral Nerve Injury. In International journal of medical sciences, 19, 1275-1289. doi:10.7150/ijms.73113. https://pubmed.ncbi.nlm.nih.gov/35928719/