Ap3s2-flox 基因敲除小鼠

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产品名称

Ap3s2-flox 基因敲除小鼠

产品编号

S-CKO-01238

品系全称

C57BL/6JCya-Ap3s2em1flox/Cya

品系背景

C57BL/6JCya

品系编号

CKOCMP-11778-Ap3s2-B6J-VA

品系状态

使用本品系发表的文献需注明: Ap3s2-flox 基因敲除小鼠 mice (Strain S-CKO-01238) 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
adaptor-related protein complex 3, sigma 2 subunit
基因别称
[s]3B
染色体号
Chr 7 (Mouse)
转录本 ID
NCBI: NM_009682.3 | Ensembl: ENSMUST00000075657
修饰方式
条件性基因敲除
靶向范围
Exon 2
敲除长度
~592 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
Ap3s2,也称为适配器相关蛋白复合物3亚基σ2,是一种重要的蛋白质,参与细胞内蛋白质的分选和运输。适配器相关蛋白复合物3(AP-3)是一种由多个亚基组成的复合物,负责将蛋白质从高尔基体运输到细胞内的特定位置,如溶酶体和分泌囊泡。AP-3复合物的功能异常与多种疾病的发生和发展有关,包括神经退行性疾病、癌症和代谢性疾病。

Ap3s2基因的表达和功能与多种生物学过程和疾病相关。在神经退行性疾病中,Ap3s2基因的表达下调与阿尔茨海默病和帕金森病的发生发展有关。Ap3s2基因的突变或表达下调可能导致细胞内蛋白质分选和运输的异常,进而影响神经细胞的存活和功能。在癌症中,Ap3s2基因的表达上调与多种癌症的发生发展有关,包括肺癌、结直肠癌和乳腺癌。Ap3s2基因的表达上调可能导致细胞内蛋白质分选和运输的异常,进而影响细胞增殖、分化和凋亡等过程,促进癌症的发生和发展。在代谢性疾病中,Ap3s2基因的表达和功能与肥胖和2型糖尿病的发生发展有关。Ap3s2基因的表达上调可能导致细胞内蛋白质分选和运输的异常,进而影响脂肪细胞和胰岛β细胞的代谢和功能,促进肥胖和2型糖尿病的发生和发展[1][2][3][4][5][6][7][8][9][10]。

综上所述,Ap3s2基因在多种生物学过程和疾病中发挥重要作用。Ap3s2基因的表达和功能异常可能导致细胞内蛋白质分选和运输的异常,进而影响细胞增殖、分化和凋亡等过程,促进多种疾病的发生和发展。深入研究Ap3s2基因的功能和调控机制有助于揭示相关疾病的发病机制,为疾病的治疗和预防提供新的思路和策略。

参考文献:
1. Kazakova, Elena V, Zghuang, Tianwei, Li, Tingting, Han, Jun, Qiao, Hong. 2017. The Gas6 gene rs8191974 and Ap3s2 gene rs2028299 are associated with type 2 diabetes in the northern Chinese Han population. In Acta biochimica Polonica, 64, 227-231. doi:10.18388/abp.2016_1299. https://pubmed.ncbi.nlm.nih.gov/28399188/
2. Ye, Wei, Sun, Lin, Fu, Cong, Dong, Huajie, Zhou, Tong. 2024. A Novel Lysosome-Related Gene Signature Predicts Lung Cancer Prognosis: A Bioinformatics-Driven Study. In Health science reports, 7, e70236. doi:10.1002/hsr2.70236. https://pubmed.ncbi.nlm.nih.gov/39633837/
3. Zhu, Xiaobo, Zou, Yixin, Jia, Linna, Yang, Sheng, Huang, Peng. 2023. Using multi-tissue transcriptome-wide association study to identify candidate susceptibility genes for respiratory infectious diseases. In Frontiers in genetics, 14, 1164274. doi:10.3389/fgene.2023.1164274. https://pubmed.ncbi.nlm.nih.gov/37020999/
4. Shahid, Saleem Ullah, Hasnain, Shahida. 2018. Use of a gene score of multiple low-modest effect size variants can predict the risk of obesity better than the individual SNPs. In Lipids in health and disease, 17, 155. doi:10.1186/s12944-018-0806-5. https://pubmed.ncbi.nlm.nih.gov/30021629/
5. Kanthimathi, Sekar, Chidambaram, Manickam, Bodhini, Dhanasekaran, Mohan, Viswanathan, Radha, Venkatesan. 2017. Association of recently identified type 2 diabetes gene variants with Gestational Diabetes in Asian Indian population. In Molecular genetics and genomics : MGG, 292, 585-591. doi:10.1007/s00438-017-1292-6. https://pubmed.ncbi.nlm.nih.gov/28190082/
6. Xiu, Xuehao, Zhang, Haoyang, Xue, Angli, Yang, Yuanhao, Zhao, Huiying. 2022. Genetic evidence for a causal relationship between type 2 diabetes and peripheral artery disease in both Europeans and East Asians. In BMC medicine, 20, 300. doi:10.1186/s12916-022-02476-0. https://pubmed.ncbi.nlm.nih.gov/36042491/
7. Zhang, Ruiqi, Yao, Fusheng, Cheng, Xue, Yang, Mengyuan, Ning, Zhonghua. 2023. Identification of candidate genomic regions for egg yolk moisture content based on a genome-wide association study. In BMC genomics, 24, 110. doi:10.1186/s12864-023-09221-8. https://pubmed.ncbi.nlm.nih.gov/36918797/
8. Kooner, Jaspal S, Saleheen, Danish, Sim, Xueling, Tai, E Shyong, Chambers, John C. 2011. Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci. In Nature genetics, 43, 984-9. doi:10.1038/ng.921. https://pubmed.ncbi.nlm.nih.gov/21874001/
9. Ullah Shahid, Saleem, Wah Li, Ka, Acharya, Jayshree, Hasnain, Shahida, Humphries, Stephen E. 2015. Effect of six type II diabetes susceptibility loci and an FTO variant on obesity in Pakistani subjects. In European journal of human genetics : EJHG, 24, 903-10. doi:10.1038/ejhg.2015.212. https://pubmed.ncbi.nlm.nih.gov/26395551/
10. Fadason, Tayaza, Ekblad, Cameron, Ingram, John R, Schierding, William S, O'Sullivan, Justin M. 2017. Physical Interactions and Expression Quantitative Traits Loci Identify Regulatory Connections for Obesity and Type 2 Diabetes Associated SNPs. In Frontiers in genetics, 8, 150. doi:10.3389/fgene.2017.00150. https://pubmed.ncbi.nlm.nih.gov/29081791/