Crip3-KO Mouse
Common Name
Crip3-KO
제품 ID
S-KO-19459
Backgroud
C57BL/6JCya
품종 계통계통 ID
KOCMP-114570-Crip3-B6J-VB
상태
이 마우스 계통을 논문에서 사용할 경우, “Crip3-KO Mouse (카탈로그 번호 S-KO-19459)은 Cyagen에서 구입하였습니다.”라고 명시해 주시기 바랍니다.
구매 가능한 제품 종류
연령
Genotype
성별
수량
표준 제공 조건은 최소 3마리의 이형접합(heterozygous) 보균자를 보장합니다. 동형접합(homozygous) 보균자 및/또는 특정 성별에 대한 브리딩 서비스도 제공됩니다.
기본 정보
품종 계통
Crip3-KO
품종 계통계통 ID
KOCMP-114570-Crip3-B6J-VB
유전자명
제품 ID
S-KO-19459
유전자 별칭
TLP, Tlmp, TLP-A, TLP-B
배경
C57BL/6JCya
NCBI ID
변형 내용
Conventional knockout
염색체
Chr 17
Phenotype
Datasheet
적용 분야
--
품종 계통 설명
Ensembl 전사체 ID
ENSMUST00000113465
NCBI 전사체 ID
NM_053250
타겟 영역
Exon 3~4
유효 영역 크기
~0.9 kb
유전자 연구 개요
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/
품질 관리 기준
정자 검사
동결 보존 전: 정자 농도 측정 및 정자 생존율 평가.
동결 보존 후: 각 배치에서 동결 보존된 정자 바이알 1개를 선택하여 체외수정(in vitro fertilization)에 사용합니다.
Environmental Standards:
SPFAvailable Region:
GlobalSource:
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