Crip3-KO Mouse
一般名
Crip3-KO
製品ID
S-KO-19459
背景情報
C57BL/6JCya
系統ID
KOCMP-114570-Crip3-B6J-VB
状況
このマウス系統を論文で使用する場合は、「Crip3-KO Mouse（カタログ番号S-KO-19459）はサイアジェンから購入しました。」と引用してください。
製品タイプ
年齢
遺伝子型
性別
数量
標準的な配送方法では、少なくとも3匹のヘテロ接合体キャリアを保証しています。ホモ接合体キャリアや指定された性別の個体の繁殖サービスも利用可能です。
基本情報
系統名
Crip3-KO
系統ID
KOCMP-114570-Crip3-B6J-VB
遺伝子名
製品ID
S-KO-19459
遺伝子別名
TLP, Tlmp, TLP-A, TLP-B
遺伝子別名
C57BL/6JCya
NCBI ID
修正
Conventional knockout
染色体
Chr 17
表現型
アプリケーション
--
さらに
系統詳細
EnsemblトランスクリプトID
ENSMUST00000113465
NCBIトランスクリプトID
NM_053250
ターゲット領域
Exon 3~4
有効領域の大きさ
~0.9 kb
遺伝子研究の概要
Crip3 is a member of the cysteine-rich intestinal protein (CRIP) family, which belongs to the highly conserved Lin-1, Isl1, Mec3/double zinc finger protein family [2]. The CRIP family plays important roles in cellular epithelial-mesenchymal transition, cell death, and tumor progression, and participates in multiple signaling pathways [2].
Analysis of RNA-seq data under oxidative stress conditions revealed that Crip3 was particularly downregulated, suggesting a relationship between oxidative stress and zinc homeostasis [3]. In a study on age-related hearing loss, an association was detected between a common variant in Crip3 and age-related hearing loss [1].
In prostate cancer research, a prognostic multigene methylation panel including CRIP3 in radical prostatectomy specimens was developed, and this panel could prognosticate late biochemical recurrence and the need for therapy after surgery [4]. Also, a 4-gene methylation classifier panel (including CRIP3) in urinary sediment DNA was able to predict disease progression in prostate cancer patients on active surveillance [9]. In addition, a 3-marker panel consisting of miR-24, miR-30c and CRIP3 methylation was significant for predicting reclassification of prostate cancer patients on active surveillance [8].
In the study of heart failure, CRIP3 was identified as a novel contributor to heart failure pathogenesis through combined histological and clinical analysis [5].
In squamous cell carcinoma of the head and neck, an 8-gene HPV-related prognostic model including CRIP3 was established, which might serve as a candidate biomarker and therapeutic target [6]. A genetic association study found an association between a variant near CRIP3 and pulse pressure [7].
In conclusion, Crip3 is involved in multiple biological processes and diseases. Its downregulation under oxidative stress implies its role in maintaining zinc homeostasis. In diseases such as age-related hearing loss, prostate cancer, heart failure, and squamous cell carcinoma of the head and neck, Crip3 shows potential as a biomarker or a factor in disease pathogenesis. The studies on Crip3 in these disease areas contribute to understanding the underlying molecular mechanisms and provide potential targets for diagnosis and treatment.
References：
1. Cornejo-Sanchez, Diana M, Li, Guangyou, Fabiha, Tabassum, DeWan, Andrew T, Leal, Suzanne M. 2023. Rare-variant association analysis reveals known and new age-related hearing loss genes. In European journal of human genetics : EJHG, 31, 638-647. doi:10.1038/s41431-023-01302-2. https://pubmed.ncbi.nlm.nih.gov/36788145/
2. Ye, Xilin, Song, Qianben, Zhang, Lumiao, Fu, Yu, Yan, Wei. 2025. Cysteine-rich intestinal protein family: structural overview, functional diversity, and roles in human disease. In Cell death discovery, 11, 114. doi:10.1038/s41420-025-02395-y. https://pubmed.ncbi.nlm.nih.gov/40118853/
3. Suzuki, Takayuki, Ono, Yoko, Bono, Hidemasa. 2021. Comparison of Oxidative and Hypoxic Stress Responsive Genes from Meta-Analysis of Public Transcriptomes. In Biomedicines, 9, . doi:10.3390/biomedicines9121830. https://pubmed.ncbi.nlm.nih.gov/34944646/
4. Savio, Andrea J, Kamdar, Shivani, Jeyapala, Renu, van der Kwast, Theodorus, Bapat, Bharati. 2019. Methylation Markers in Prostate Biopsies Are Prognosticators for Late Biochemical Recurrence and Therapy after Surgery in Prostate Cancer Patients. In The Journal of molecular diagnostics : JMD, 22, 30-39. doi:10.1016/j.jmoldx.2019.08.003. https://pubmed.ncbi.nlm.nih.gov/31605802/
5. Lee, Sang Eun, Joo, Jeong Ho, Hwang, Hee Sang, Lee, Jeong Seok, Torkamani, Ali. 2025. Spatial transcriptional landscape of human heart failure. In European heart journal, , . doi:10.1093/eurheartj/ehaf272. https://pubmed.ncbi.nlm.nih.gov/40335066/
6. Mei, Zhang, Zhengdong, Luo, Shupeng, Liu, Lei, Wang, Wang, Chuanxin. . Identification of an 8 HPV-related RNA signature as a novel prognostic biomarker for squamous cell carcinoma of the head and neck. In Medicine, 103, e36448. doi:10.1097/MD.0000000000036448. https://pubmed.ncbi.nlm.nih.gov/38335428/
7. Ganesh, Santhi K, Chasman, Daniel I, Larson, Martin G, Psaty, Bruce M, Chakravarti, Aravinda. 2014. Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. In American journal of human genetics, 95, 49-65. doi:10.1016/j.ajhg.2014.06.002. https://pubmed.ncbi.nlm.nih.gov/24975945/
8. Zhao, Fang, Vesprini, Danny, Liu, Richard S C, Liu, Stanley K, Bapat, Bharati. 2019. Combining urinary DNA methylation and cell-free microRNA biomarkers for improved monitoring of prostate cancer patients on active surveillance. In Urologic oncology, 37, 297.e9-297.e17. doi:10.1016/j.urolonc.2019.01.031. https://pubmed.ncbi.nlm.nih.gov/30777394/
9. Zhao, Fang, Olkhov-Mitsel, Ekaterina, van der Kwast, Theodorus, Vesprini, Danny, Bapat, Bharati. 2016. Urinary DNA Methylation Biomarkers for Noninvasive Prediction of Aggressive Disease in Patients with Prostate Cancer on Active Surveillance. In The Journal of urology, 197, 335-341. doi:10.1016/j.juro.2016.08.081. https://pubmed.ncbi.nlm.nih.gov/27545574/
品質管理基準
精子検査
凍結前の精子濃度を測定し、精子の生存能力の判定します。
凍結後の精子では、各バッチから1本の凍結保存された精子を選び出し、体外受精に使用します。
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