首页> 美国卫生研究院文献>other >Striatal neurons directly converted from Huntington’s disease patient fibroblasts recapitulate age-associated disease phenotypes
【2h】

Striatal neurons directly converted from Huntington’s disease patient fibroblasts recapitulate age-associated disease phenotypes

机译:亨廷顿氏病患者成纤维细胞直接转化的纹状体神经元概括了与年龄相关的疾病表型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In Huntington’s disease (HD), expansion of CAG codons within the huntingtin gene (HTT) leads to the aberrant formation of protein aggregates and the differential degeneration of striatal medium spiny neurons (MSNs). Modeling HD using patient-specific MSNs has been challenging, as neurons differentiated from induced pluripotent stem cells are free of aggregates and lack an overt cell death phenotype. Here we generated MSNs from HD patient fibroblasts through microRNA-based neuronal conversion, previously shown to bypass the induction of pluripotency and retain age signatures of original fibroblasts. We found that patient MSNs consistently exhibited mutant HTT (mHTT) aggregates, mHTT-dependent DNA damage, mitochondrial dysfunction, and spontaneous degeneration over time in culture. We further provide evidence that erasure of age stored in starting fibroblasts and neuronal conversion of pre-symptomatic HD patient fibroblasts resulted in differential manifestation of cellular phenotypes associated with HD, highlighting the importance of age in modeling late-onset neurological disorders.
机译:在亨廷顿舞蹈病(HD)中,亨廷顿基因(HTT)中CAG密码子的扩展导致异常的蛋白质聚集物形成和纹状体中棘神经元(MSN)的差异变性。使用患者特有的MSN为HD建模具有挑战性,因为从诱导性多能干细胞分化出来的神经元没有聚集体,并且缺乏明显的细胞死亡表型。在这里,我们通过基于microRNA的神经元转换从高清患者成纤维细胞中生成了MSN,先前已证明绕过了多能性的诱导并保留了原始成纤维细胞的年龄特征。我们发现患者MSNs始终表现出突变的HTT(mHTT)聚集体,mHTT依赖性DNA损伤,线粒体功能障碍以及随着时间的推移自发变性。我们进一步提供的证据表明,消除存储在开始的成纤维细胞中的年龄和有症状的高清患者成纤维细胞的神经元转化会导致与高清相关的细胞表型的差异表现,从而突出了年龄在建模迟发性神经系统疾病中的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号