Fbxl13-flox 基因敲除小鼠

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产品名称

Fbxl13-flox 基因敲除小鼠

产品编号

S-CKO-10390

品系全称

C57BL/6JCya-Fbxl13em1flox/Cya

品系背景

C57BL/6JCya

品系编号

CKOCMP-320118-Fbxl13-B6J-VA

品系状态

使用本品系发表的文献需注明: Fbxl13-flox 基因敲除小鼠 mice (Strain S-CKO-10390) 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
F-box and leucine-rich repeat protein 13
基因别称
4921539K22Rik
染色体号
Chr 5 (Mouse)
转录本 ID
NCBI: NM_177076 | Ensembl: ENSMUST00000051358
修饰方式
条件性基因敲除
靶向范围
Exon 5
敲除长度
~0.7 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
FBXL13,也称为F-box and leucine-rich repeat protein 13,是一种包含F-box结构域和富含亮氨酸重复序列的蛋白。F-box蛋白是SCF(SKP1-CUL1-F-box)家族E3泛素连接酶的结合决定因子,SCF复合物负责识别和标记底物蛋白,使其通过蛋白酶体途径进行降解。FBXL13通过其F-box结构域与SCF复合物结合,进而调控多种细胞过程,包括细胞周期、细胞迁移、细胞凋亡和DNA损伤修复等[1,2,3,4,5,6,7,8,9,10]。

FBXL13在多种疾病中发挥重要作用,包括肿瘤、高血压、骨质疏松和阿尔茨海默病等。在肿瘤中,FBXL13通过调控中心体蛋白CEP192的降解,影响中心体的稳定性和细胞迁移,从而促进肿瘤的发生和发展[1]。在高血压中,FBXL13的表达与睡眠健康评分相关,可能影响血压的调节[5]。在骨质疏松中,FBXL13的表达与骨密度相关,可能影响骨代谢和骨重建[4]。在阿尔茨海默病中,FBXL13的表达与疾病的发生和发展相关,可能影响神经元的存活和功能[8]。

此外,FBXL13还与男性不育相关。研究表明,FBXL13在精子发生过程中发挥重要作用,其突变可能导致精子形态和运动异常,从而引起男性不育[2]。FBXL13还与免疫细胞浸润相关。在缺氧诱导的肺高压中,FBXL13的表达上调,可能与免疫细胞浸润有关[3]。

综上所述,FBXL13是一种重要的F-box蛋白,参与调控多种细胞过程,包括细胞周期、细胞迁移、细胞凋亡和DNA损伤修复等。FBXL13在多种疾病中发挥重要作用,包括肿瘤、高血压、骨质疏松和阿尔茨海默病等。此外,FBXL13还与男性不育和免疫细胞浸润相关。FBXL13的研究有助于深入理解F-box蛋白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. Fung, Ella, Richter, Carmen, Yang, Hong-Bin, Bassermann, Florian, D'Angiolella, Vincenzo. 2018. FBXL13 directs the proteolysis of CEP192 to regulate centrosome homeostasis and cell migration. In EMBO reports, 19, . doi:10.15252/embr.201744799. https://pubmed.ncbi.nlm.nih.gov/29348145/
2. Olszewska, Marta, Malcher, Agnieszka, Stokowy, Tomasz, Yatsenko, Alexander N, Kurpisz, Maciej. 2024. Effects of Tcte1 knockout on energy chain transportation and spermatogenesis: implications for male infertility. In Human reproduction open, 2024, hoae020. doi:10.1093/hropen/hoae020. https://pubmed.ncbi.nlm.nih.gov/38650655/
3. Li, Chengwei, Xia, Jingwen, Yiminniyaze, Ruzetuoheti, Dong, Liang, Li, Shengqing. . Hub Genes and Immune Cell Infiltration in Hypoxia-Induced Pulmonary Hypertension: Bioinformatics Analysis and In Vivo Validation. In Combinatorial chemistry & high throughput screening, 26, 2085-2097. doi:10.2174/1386207326666230130093325. https://pubmed.ncbi.nlm.nih.gov/36718060/
4. Shao, Jian-Li, Li, Heng, Zhang, Xiao-Rong, Jiao, Gen-Long, Sun, Guo-Dong. 2021. Identification of Serum Exosomal MicroRNA Expression Profiling in Menopausal Females with Osteoporosis by High-throughput Sequencing. In Current medical science, 40, 1161-1169. doi:10.1007/s11596-020-2306-x. https://pubmed.ncbi.nlm.nih.gov/33428145/
5. Yao, Yao, Jia, Yumeng, Wen, Yan, Wang, Sen, Zhang, Feng. 2022. Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort. In Nature and science of sleep, 14, 1-12. doi:10.2147/NSS.S326818. https://pubmed.ncbi.nlm.nih.gov/35023977/
6. Curtiss, Nicole P, Bonifas, Jeannette M, Lauchle, Jennifer O, Le Beau, Michelle M, Shannon, Kevin M. . Isolation and analysis of candidate myeloid tumor suppressor genes from a commonly deleted segment of 7q22. In Genomics, 85, 600-7. doi:. https://pubmed.ncbi.nlm.nih.gov/15820312/
7. Yatsenko, Svetlana A, Mittal, Priya, Wood-Trageser, Michelle A, Sood, Anil K, Rajkovic, Aleksandar. 2016. Highly heterogeneous genomic landscape of uterine leiomyomas by whole exome sequencing and genome-wide arrays. In Fertility and sterility, 107, 457-466.e9. doi:10.1016/j.fertnstert.2016.10.035. https://pubmed.ncbi.nlm.nih.gov/27889101/
8. Floudas, Charalampos S, Um, Nara, Kamboh, M Ilyas, Barmada, Michael M, Visweswaran, Shyam. 2014. Identifying genetic interactions associated with late-onset Alzheimer's disease. In BioData mining, 7, 35. doi:10.1186/s13040-014-0035-z. https://pubmed.ncbi.nlm.nih.gov/25649863/
9. Xie, Zengyan, Yang, Xianyan, Deng, Xiaoya, Ma, Mingyue, Shu, Kunxian. 2017. A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder. In International journal of molecular sciences, 18, . doi:10.3390/ijms18122763. https://pubmed.ncbi.nlm.nih.gov/29257106/
10. He, Jiang, Kelly, Tanika N, Zhao, Qi, Hixson, James E, Gu, Dongfeng. 2013. Genome-wide association study identifies 8 novel loci associated with blood pressure responses to interventions in Han Chinese. In Circulation. Cardiovascular genetics, 6, 598-607. doi:10.1161/CIRCGENETICS.113.000307. https://pubmed.ncbi.nlm.nih.gov/24165912/