Parp8-KO Mouse
一般名
Parp8-KO
製品ID
S-KO-10328
背景情報
C57BL/6JCya
系統ID
KOCMP-52552-Parp8-B6J-VA
状況
このマウス系統を論文で使用する場合は、「Parp8-KO Mouse(カタログ番号S-KO-10328)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
Parp8-KO
系統ID
KOCMP-52552-Parp8-B6J-VA
遺伝子名
製品ID
S-KO-10328
遺伝子別名
ARTD16, D13Ertd275e, 2810430O08Rik
遺伝子別名
C57BL/6JCya
NCBI ID
修正
Conventional knockout
染色体
Chr 13
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
ENSMUST00000022239
NCBIトランスクリプトID
--
ターゲット領域
Exon 5~6
有効領域の大きさ
~2.0 kb
遺伝子研究の概要
PARP8, short for poly (ADP-ribose) polymerase family member 8, is involved in multiple biological processes. It may play a role in DNA repair, which is crucial for maintaining genomic stability [2,6,7]. Also, it is associated with immunogenic cell death, a process that can activate innate and adaptive immune responses [5].
In human studies, PARP8 has been linked to several conditions. High-scoring signals of positive selection were detected at PARP8 among innate immunity genes, and interactions with HIV-1 and SARS-CoV-2 were identified, suggesting its role in immunity [1]. In high myopia patients, a missense variant in PARP8 was found, indicating it as a new candidate disease-causing gene [3]. In prostate cancer, deletion of PARP8 correlated with progression-free survival, and a panel including PARP8 deletion had risk stratification potential [4]. In uveal melanoma, downregulation of PARP8 led to decreased cell proliferation and slower migration [5]. It was also identified as a hub gene in differentiating latent from active tuberculosis in children, potentially governing the transition through various pathways [6], and in ulcerative colitis, where it was part of a diagnostic model related to ferroptosis [7].
In summary, PARP8 is involved in DNA repair and immunogenic cell death. Studies in various human diseases such as immunity-related diseases, high myopia, prostate cancer, uveal melanoma, tuberculosis, and ulcerative colitis have revealed its potential importance in these disease conditions, highlighting its significance as a gene worthy of further research in understanding disease mechanisms.
References:
1. Urnikyte, Alina, Masiulyte, Abigaile, Pranckeniene, Laura, Kučinskas, Vaidutis. 2023. Disentangling archaic introgression and genomic signatures of selection at human immunity genes. In Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 116, 105528. doi:10.1016/j.meegid.2023.105528. https://pubmed.ncbi.nlm.nih.gov/37977419/
2. Dong, Kunzhe, Yao, Na, Pu, Yabin, Rao, Shaoqi, Ma, Yuehui. 2014. Genomic scan reveals loci under altitude adaptation in Tibetan and Dahe pigs. In PloS one, 9, e110520. doi:10.1371/journal.pone.0110520. https://pubmed.ncbi.nlm.nih.gov/25329542/
3. Liu, Yang, Zhang, Jin-Jin, Piao, Shun-Yu, Jin, Zi-Bing, Zhuang, Wen-Juan. 2021. Whole-Exome Sequencing in a Cohort of High Myopia Patients in Northwest China. In Frontiers in cell and developmental biology, 9, 645501. doi:10.3389/fcell.2021.645501. https://pubmed.ncbi.nlm.nih.gov/34222226/
4. Alfahed, Abdulaziz, Ebili, Henry Okuchukwu, Almoammar, Nasser Eissa, Abdulwahed, Abdulhadi M, Waggiallah, Hisham Ali. 2023. Prognostic Values of Gene Copy Number Alterations in Prostate Cancer. In Genes, 14, . doi:10.3390/genes14050956. https://pubmed.ncbi.nlm.nih.gov/37239316/
5. Li, Xiaoyan, Kang, Jing, Yue, Jing, Wang, Lin, Li, Guoyin. 2023. Identification and validation of immunogenic cell death-related score in uveal melanoma to improve prediction of prognosis and response to immunotherapy. In Aging, 15, 3442-3464. doi:10.18632/aging.204680. https://pubmed.ncbi.nlm.nih.gov/37142279/
6. Chen, Liang, Hua, Jie, Dai, Xiaoting, He, Xiaopu. . Assessment of ferroptosis-associated gene signatures as potential biomarkers for differentiating latent from active tuberculosis in children. In Microbial genomics, 9, . doi:10.1099/mgen.0.000997. https://pubmed.ncbi.nlm.nih.gov/37163321/
7. Qian, Rui, Tang, Min, Ouyang, Zichen, Cheng, Honghui, Xing, Sizhong. . Identification of ferroptosis-related genes in ulcerative colitis: a diagnostic model with machine learning. In Annals of translational medicine, 11, 177. doi:10.21037/atm-23-276. https://pubmed.ncbi.nlm.nih.gov/36923072/
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。
環境基準:
SPF対応地域:
グローバル由来:
Cyagenお問い合わせ
カスタムの動物モデルに関するご相談は、下記のフォームにご記入いただき、ご連絡いただくか見積もりをご依頼ください。
Cyagenはお客様のプライバシーを大変重視しています。当社の最新の製品や情報をお届けしたいと思っています。お客様の設定をご確認ください。
これらの配信はいつでも解除できます。配信停止方法およびデータ保護の詳細は プライバシーポリシー をご確認ください。
以下のボタンをクリックすることで、このフォームにご入力いただいた個人情報をCyagenが保存・処理し、ご要望のコンテンツを提供することに同意されたことになります。
