Arhgap32-flox 基因敲除小鼠

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产品名称

Arhgap32-flox 基因敲除小鼠

产品编号

S-CKO-10715

品系全称

C57BL/6JCya-Arhgap32em1flox/Cya

品系背景

C57BL/6JCya

品系编号

CKOCMP-330914-Arhgap32-B6J-VA

品系状态

使用本品系发表的文献需注明: Arhgap32-flox 基因敲除小鼠 mice (Strain S-CKO-10715) 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
Rho GTPase activating protein 32
基因别称
3426406O18Rik,Gc-gap,Grit,Px-rics,Rics,mKIAA0712,p200Rhogap,p250Gap
染色体号
Chr 9 (Mouse)
转录本 ID
NCBI: NM_001195632.2 | Ensembl: ENSMUST00000174641
修饰方式
条件性基因敲除
靶向范围
Exon 14
敲除长度
~525 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:2450166Mice homozygous for a null mutation are fertile but display abnormal neurite growth.
Arhgap32,也称为Rho GTPase激活蛋白32,是一种重要的Rho GTPase激活蛋白。Rho GTPase是一类信号转导分子,参与调控细胞骨架的重组、细胞迁移、细胞增殖和细胞凋亡等生物学过程。Arhgap32通过抑制Rho GTPase的活性,参与调节这些生物学过程。

Arhgap32在多种疾病中发挥重要作用,包括自闭症谱系障碍(ASD)、阿尔茨海默病(AD)、颅内动脉瘤(IA)、胃癌(GC)、抑郁症和Alexithymia等。在ASD中,Arhgap32的基因突变与疾病的发生和发展有关[1]。在AD中,Arhgap32的表达与疾病的发生和发展有关[2]。在IA中,Arhgap32的基因多态性与疾病的易感性有关[3,4,7]。在GC中,Arhgap32的表达与疾病的预后和免疫浸润有关[5]。在抑郁症中,Arhgap32的表达与疾病的发生和发展有关[6,8]。在Alexithymia中,Arhgap32的基因变异与疾病的发生和发展有关[9]。

Arhgap32的研究有助于深入理解Rho GTPase信号通路的生物学功能和疾病发生机制,为疾病的治疗和预防提供新的思路和策略。

参考文献:
1. Wang, Tianyun, Guo, Hui, Xiong, Bo, Xia, Kun, Eichler, Evan E. 2016. De novo genic mutations among a Chinese autism spectrum disorder cohort. In Nature communications, 7, 13316. doi:10.1038/ncomms13316. https://pubmed.ncbi.nlm.nih.gov/27824329/
2. George, Benu, D Gokhale, Sheetal, Yaswanth, P M, Devika, S, Suchithra, T V. 2021. Identification of Alzheimer associated differentially expressed gene through microarray data and transfer learning-based image analysis. In Neuroscience letters, 766, 136357. doi:10.1016/j.neulet.2021.136357. https://pubmed.ncbi.nlm.nih.gov/34808269/
3. Hernández-Díaz, Yazmín, Genis-Mendoza, Alma Delia, González-Castro, Thelma Beatriz, Juárez-Rojop, Isela Esther, Nicolini, Humberto. 2024. Exploring Candidate Gene Studies and Alexithymia: A Systematic Review. In Genes, 15, . doi:10.3390/genes15081025. https://pubmed.ncbi.nlm.nih.gov/39202385/
4. Hong, Eun Pyo, Youn, Dong Hyuk, Kim, Bong Jun, Jeon, Hong Jun, Jeon, Jin Pyeong. 2022. Fine-mapping of intracranial aneurysm susceptibility based on a genome-wide association study. In Scientific reports, 12, 2717. doi:10.1038/s41598-022-06755-x. https://pubmed.ncbi.nlm.nih.gov/35177760/
5. Chen, Qingchuan, Tan, Yuen, Zhang, Chao, An, Wen, Xu, Huimian. 2021. A Weighted Gene Co-Expression Network Analysis-Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer. In Frontiers in oncology, 11, 554779. doi:10.3389/fonc.2021.554779. https://pubmed.ncbi.nlm.nih.gov/33718128/
6. Akshoomoff, Natacha, Mattson, Sarah N, Grossfeld, Paul D. 2014. Evidence for autism spectrum disorder in Jacobsen syndrome: identification of a candidate gene in distal 11q. In Genetics in medicine : official journal of the American College of Medical Genetics, 17, 143-8. doi:10.1038/gim.2014.86. https://pubmed.ncbi.nlm.nih.gov/25058499/
7. Hong, Eun Pyo, Kim, Bong Jun, Cho, Steve S, Kang, Suk Hyung, Jeon, Jin Pyeong. 2019. Genomic Variations in Susceptibility to Intracranial Aneurysm in the Korean Population. In Journal of clinical medicine, 8, . doi:10.3390/jcm8020275. https://pubmed.ncbi.nlm.nih.gov/30823506/
8. Qi, Shile, Yang, Xiao, Zhao, Liansheng, Sui, Jing, Ma, Xiaohong. . MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder. In Brain : a journal of neurology, 141, 916-926. doi:10.1093/brain/awx366. https://pubmed.ncbi.nlm.nih.gov/29408968/
9. Mezzavilla, Massimo, Ulivi, Sheila, Bianca, Martina La, Gasparini, Paolo, Robino, Antonietta. 2015. Analysis of functional variants reveals new candidate genes associated with alexithymia. In Psychiatry research, 227, 363-5. doi:10.1016/j.psychres.2015.03.018. https://pubmed.ncbi.nlm.nih.gov/25882097/