Notch signaling

陷波信号
  • 文章类型: Journal Article
    液泡ATP酶(V-ATP酶)是一种质子泵,负责控制细胞的细胞内和细胞外pH值。V-ATPase的结构在所有真核细胞中高度保守,并且涉及物种之间的多种功能。V-ATP酶以其内体和溶酶体的酸化而闻名,并且对于特化细胞的腔酸化也很重要。一些报道表明V-ATPase参与维持碱性细胞内和酸性细胞外pH,从而分别有助于癌细胞的增殖和转移。在癌症中,V-ATPase的表达增加和向质膜的迁移有助于调节关键的致瘤细胞过程,如自噬,Warburg效应,免疫治疗,耐药性和最重要的癌细胞信号。在这次审查中,我们讨论了V-ATPase在酸化和信号通路的间接调节中的直接作用,特别是陷波信号。
    The Vacuolar ATPase (V-ATPase) is a proton pump responsible for controlling the intracellular and extracellular pH of cells. The structure of V-ATPase has been highly conserved among all eukaryotic cells and is involved in diverse functions across species. V-ATPase is best known for its acidification of endosomes and lysosomes and is also important for luminal acidification of specialized cells. Several reports have suggested the involvement of V-ATPase in maintaining an alkaline intracellular and acidic extracellular pH thereby aiding in proliferation and metastasis of cancer cells respectively. Increased expression of V-ATPase and relocation to the plasma membrane aids in cancer modulates key tumorigenic cell processes like autophagy, Warburg effect, immunomoduation, drug resistance and most importantly cancer cell signaling. In this review, we discuss the direct role of V-ATPase in acidification and indirect regulation of signaling pathways, particularly Notch Signaling.
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  • 文章类型: Case Reports
    Alagille syndrome is a rare autosomal dominant disorder with characteristic findings of paucity of intrahepatic bile ducts, congenital heart disease, and vertebral, ocular, and renal abnormalities. We present a unique autopsy case of an 18-year-old female with Alagille syndrome and splenic hamartomas. Autopsy findings included growth restriction, Tetralogy of Fallot, paucity of intrahepatic bile ducts, end-stage renal disease with mesangiolipidosis, and splenomegaly with two well-circumscribed, splenic tumors. Histologic findings of the splenic tumors revealed disorganized vascular channels lined by cells without cytologic atypia. Immunohistochemical analysis demonstrated CD8(+)CD31(+) endothelial cells, consistent with splenic hamartomas. In summary, Alagille syndrome is a rare genetic disorder characterized by JAG1 mutations and disrupted Notch signaling. Review of the literature highlights the importance of Notch signaling in vascular development and disorders. However, to our knowledge this is the first description of splenic hamartomas in Alagille syndrome.
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  • 文章类型: Journal Article
    除草剂linuron(LIN)是一种具有抗雄激素作用模式的内分泌干扰物。这项研究的目的是(1)提高对硬骨膜卵巢中雄激素和抗雄激素信号传导的认识,以及(2)评估基因网络和机器学习使用转录组数据将LIN分类为抗雄激素的能力。将来自卵黄黑头鱼(FHM)的卵巢外植体暴露于三种浓度的5α-二氢睾酮(DHT),氟他胺(FLUT),或LIN为12h。暴露于DHT的卵巢显示17β-雌二醇(E2)的产生显着增加,而FLUT和LIN对E2没有影响。为了提高对卵巢雄激素受体信号传导的认识,使用通路分析构建了DHT和FLUT的互惠基因表达网络,这些数据表明类固醇代谢,翻译,DNA复制是通过卵巢中的AR信号调节的过程。子网络富集分析显示,与DHT相比,FLUT和LIN共有更多的受调控基因网络。使用来自不同鱼类的转录组数据集,机器学习算法将LIN与其他抗雄激素成功分类。这项研究提高了有关卵巢中对雄激素和抗雄激素反应的分子信号级联的知识,并提供了基因网络分析和机器学习可以使用从不同鱼类收集的实验转录组数据对优先化学物质进行分类的概念证明。
    The herbicide linuron (LIN) is an endocrine disruptor with an anti-androgenic mode of action. The objectives of this study were to (1) improve knowledge of androgen and anti-androgen signaling in the teleostean ovary and to (2) assess the ability of gene networks and machine learning to classify LIN as an anti-androgen using transcriptomic data. Ovarian explants from vitellogenic fathead minnows (FHMs) were exposed to three concentrations of either 5α-dihydrotestosterone (DHT), flutamide (FLUT), or LIN for 12h. Ovaries exposed to DHT showed a significant increase in 17β-estradiol (E2) production while FLUT and LIN had no effect on E2. To improve understanding of androgen receptor signaling in the ovary, a reciprocal gene expression network was constructed for DHT and FLUT using pathway analysis and these data suggested that steroid metabolism, translation, and DNA replication are processes regulated through AR signaling in the ovary. Sub-network enrichment analysis revealed that FLUT and LIN shared more regulated gene networks in common compared to DHT. Using transcriptomic datasets from different fish species, machine learning algorithms classified LIN successfully with other anti-androgens. This study advances knowledge regarding molecular signaling cascades in the ovary that are responsive to androgens and anti-androgens and provides proof of concept that gene network analysis and machine learning can classify priority chemicals using experimental transcriptomic data collected from different fish species.
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