Rnf103-KO Mouse
Common Name
Rnf103-KO
제품 ID
S-KO-18605
Backgroud
C57BL/6JCya
품종 계통계통 ID
KOCMP-22644-Rnf103-B6J-VB
상태
이 마우스 계통을 논문에서 사용할 경우, “Rnf103-KO Mouse (카탈로그 번호 S-KO-18605)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
Rnf103-KO
품종 계통계통 ID
KOCMP-22644-Rnf103-B6J-VB
유전자명
제품 ID
S-KO-18605
유전자 별칭
kf-1, Zfp103
배경
C57BL/6JCya
NCBI ID
변형 내용
Conventional knockout
염색체
Chr 6
Phenotype
Datasheet
적용 분야
--
품종 계통 설명
Ensembl 전사체 ID
ENSMUST00000064637
NCBI 전사체 ID
NM_009543
타겟 영역
Exon 2
유효 영역 크기
~1.7 kb
유전자 연구 개요
Rnf103, or ring finger protein 103, encodes an E3 ubiquitin-protein ligase. E3 ubiquitin-protein ligases play a crucial role in the ubiquitination process, which is involved in many cellular pathways such as protein degradation, cell cycle regulation, and immune response [1,5].
In a study on Vibrio anguillarum infection in aquaculture, Rnf103 was identified as a key target in the immune evasion mechanism of this pathogen. It promotes immune escape by inhibiting Traf6. Additionally, a circular RNA (circRNA) called circRnf103, formed by reverse splicing of the Rnf103 gene, was discovered. circRnf103 encodes Rnf103-177aa, a protein that competes with Rnf103 and binds to Traf6, preventing its degradation. In zebrafish models, circRnf103 therapy effectively treated V. anguillarum infections, reducing organ burden [1].
In the context of diabetic foot ulcers, through machine-learning-driven analysis, RNF103-CHMP3 (a possible related entity) was identified as a key gene significantly associated with the disease, linked to extracellular interactions and potentially involved in cellular communication and tissue repair mechanisms for wound healing [2].
In a pan-cancer study, RNF103-CHMP3 was found among genes that co-occurred mutations with CD8A, implicating it in the regulation of cancer-related pathways [3].
In a study on Alzheimer's disease, Rnf103 was determined as one of six characteristic genes, enabling the precise prediction of AD progression [4].
In pigs, Rnf103 was considered as a genetic marker for growth traits [6].
In a study on lipid phenotypes, Rnf103 was associated with triglycerides [7].
In conclusion, Rnf103 is involved in multiple biological processes and disease conditions. Its role in immune evasion, wound healing, cancer-related pathways, Alzheimer's disease prediction, pig growth, and lipid metabolism has been demonstrated through various research models. These findings contribute to our understanding of the underlying mechanisms of these biological processes and diseases, potentially providing new directions for treatment and management.
References：
1. Zheng, Weiwei, Lv, Xing, Tao, Yaqi, Zhu, Tongtong, Xu, Tianjun. 2023. A circRNA therapy based on Rnf103 to inhibit Vibrio anguillarum infection. In Cell reports, 42, 113314. doi:10.1016/j.celrep.2023.113314. https://pubmed.ncbi.nlm.nih.gov/37874674/
2. Yu, Xin, Wu, Zhuo, Zhang, Nan. 2024. Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers. In Molecular medicine (Cambridge, Mass.), 30, 215. doi:10.1186/s10020-024-00955-z. https://pubmed.ncbi.nlm.nih.gov/39543487/
3. Niu, Decao, Chen, Yifeng, Mi, Hua, Mo, Zengnan, Pang, Guijian. 2022. The epiphany derived from T-cell-inflamed profiles: Pan-cancer characterization of CD8A as a biomarker spanning clinical relevance, cancer prognosis, immunosuppressive environment, and treatment responses. In Frontiers in genetics, 13, 974416. doi:10.3389/fgene.2022.974416. https://pubmed.ncbi.nlm.nih.gov/36035168/
4. Lai, Yongxing, Lin, Xueyan, Lin, Chunjin, Chen, Zhihan, Zhang, Li. 2022. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning. In Frontiers in pharmacology, 13, 975774. doi:10.3389/fphar.2022.975774. https://pubmed.ncbi.nlm.nih.gov/36059957/
5. Scheper, Johanna, Oliva, Baldo, Villà-Freixa, Jordi, Thomson, Timothy M. . Analysis of electrostatic contributions to the selectivity of interactions between RING-finger domains and ubiquitin-conjugating enzymes. In Proteins, 74, 92-103. doi:10.1002/prot.22120. https://pubmed.ncbi.nlm.nih.gov/18615712/
6. Li, Xiaoping, Kim, Sang-Wook, Do, Kyoung-Tag, Choi, Bong-Hwan, Kim, Kwan-Suk. 2010. Analyses of porcine public SNPs in coding-gene regions by re-sequencing and phenotypic association studies. In Molecular biology reports, 38, 3805-20. doi:10.1007/s11033-010-0496-1. https://pubmed.ncbi.nlm.nih.gov/21107721/
7. Li, Changwei, Bazzano, Lydia A L, Rao, Dabeeru C, Lu, Xiangfeng, Kelly, Tanika N. 2015. Genome-wide linkage and positional association analyses identify associations of novel AFF3 and NTM genes with triglycerides: the GenSalt study. In Journal of genetics and genomics = Yi chuan xue bao, 42, 107-17. doi:10.1016/j.jgg.2015.02.003. https://pubmed.ncbi.nlm.nih.gov/25819087/
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:
Cyagen문의하기
맞춤형 동물 모델 관련 상담을 위해 Cyagen 전문가와 연락해 보세요. 아래 양식을 작성하여 상담을 시작하거나 견적을 요청하시기 바랍니다.
Cyagen은 고객님의 개인정보를 소중히 여깁니다. 최신 제품, 서비스 및 인사이트를 안내드리고자 합니다. 고객님의 수신 설정은 다음과 같습니다:
해당 커뮤니케이션은 언제든지 수신 거부하실 수 있습니다. 수신 거부 방법 및 데이터 보호에 대한 자세한 내용은 개인정보처리방침을 참고해 주시기 바랍니다.
아래 버튼을 클릭함으로써, 요청하신 콘텐츠 제공을 위해 본 양식을 통해 제출된 개인정보를 Cyagen이 저장 및 처리하는 데 동의하게 됩니다.