将亨廷顿氏病患者的体表皮肤细胞直接重编程为纹状体神经元,以创建病理模型。

Q3 Agricultural and Biological Sciences Doklady Biological Sciences Pub Date : 2024-04-01 Epub Date: 2024-01-08 DOI:10.1134/S0012496623700849
N A Kraskovskaya, M G Khotin, A N Tomilin, N A Mikhailova
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引用次数: 0

摘要

通过将亨廷顿氏病(HD)患者的真皮成纤维细胞直接重编程为纹状体神经元,开发出了一种新的亨廷顿氏病(HD)体外模型。直接重编程避免了诱导多能干细胞(iPS)的重编程,因此产生的神经元保留了特定供体细胞固有的表观遗传信息,从而保留了与年龄相关的疾病表型。HD的一个主要组织病理学特征在新模型中得以重现,即突变型狩猎蛋白的聚集体积聚在来自患者成纤维细胞的纹状体神经元中。利用通过直接重编程获得的培养神经元进行实验,可以单独评估神经病理学的进展情况,并采用个性化方法选择治疗策略和治疗药物。HD 体外模型可用于临床前药物研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Direct Reprogramming of Somatic Skin Cells from a Patient with Huntington's Disease into Striatal Neurons to Create Models of Pathology.

A new in vitro model of Huntington's disease (HD) was developed via a direct reprogramming of dermal fibroblasts from HD patients into striatal neurons. A reprogramming into induced pluripotent stem (iPS) cells is obviated in the case of direct reprogramming, which thus yields neurons that preserve the epigenetic information inherent in cells of a particular donor and, consequently, the age-associated disease phenotype. A main histopathological feature of HD was reproduced in the new model; i.e., aggregates of mutant huntingtin accumulated in striatal neurons derived from a patient's fibroblasts. Experiments with cultured neurons obtained via direct reprogramming make it possible to individually assess the progression of neuropathology and to implement a personalized approach to choosing the treatment strategy and drugs for therapy. The in vitro model of HD can be used in preclinical drug studies.

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来源期刊
Doklady Biological Sciences
Doklady Biological Sciences Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.10
自引率
0.00%
发文量
66
期刊介绍: Doklady Biological Sciences  is a journal that publishes new research in biological sciences of great significance. Initially the journal was a forum of the Russian Academy of Science and published only best contributions from Russia in the form of short articles. Now the journal welcomes submissions from any country in the English or Russian language. Every manuscript must be recommended by Russian or foreign members of the Russian Academy of Sciences.
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