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优化转录因子驱动的人类诱导多能干细胞向神经元的分化用于疾病建模和药物筛选

Optimization of Transcription Factor-Driven Neuronal Differentiation from Human Induced Pluripotent Stem Cells for Disease Modelling and Drug Screening.

作者信息

Servetti Martina, Caramia Martino, Parodi Giulia, Loiacono Fabrizio, Nano Ennio, Biddau Giorgia, Ferrando Lorenzo, Morinelli Lisastella, Valente Pierluigi, Martinoia Sergio, Escelsior Andrea, Serafini Gianluca, Tamburro Serena, Baldassari Simona, Fassio Anna, Benfenati Fabio, Corradi Anna, Sterlini Bruno

机构信息

Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, Largo Rosanna Benzi 10, 16132, Genova, Italy.

Dipartimento di Medicina Sperimentale, Università di Genova, Viale Benedetto XV, 3, Genova, 16132, Italy.

出版信息

Stem Cell Rev Rep. 2025 Apr;21(3):816-833. doi: 10.1007/s12015-025-10845-4. Epub 2025 Jan 31.

Abstract

Progress of human brain in vitro models stands as a keystone in neurological and psychiatric research, addressing the limitations posed by species-specific differences in animal models. The generation of human neurons from induced pluripotent stem cells (iPSCs) using transcription factor reprogramming protocols has been shown to reduce heterogeneity and improve consistency across different stem cell lines. Despite notable advancements, the current protocols still exhibit several shortcomings. This study focuses on standardizing and optimizing the procedure for iPSC-derived glutamatergic neurons generation through the inducible overexpression of Neurogenin-2. Noteworthy refinements include stringent scrutiny of genomic rearrangements post-fibroblast reprogramming, selection of a homogeneously integrated NGN2-cassettes population, and the incorporation of an intermediate step during neuronal differentiation to store neuronal progenitors. The neural culture showed a high degree of neuronal maturation and consistency, as shown by single-cell and network electrophysiological recordings. These advancements aim to provide more reliable tools for disease modelling and drug screening in neurological disorders.

摘要

人类大脑体外模型的进展是神经学和精神病学研究的基石,克服了动物模型中物种特异性差异带来的局限性。使用转录因子重编程方案从诱导多能干细胞(iPSC)生成人类神经元已被证明可以减少异质性并提高不同干细胞系之间的一致性。尽管取得了显著进展,但目前的方案仍存在一些缺点。本研究专注于通过诱导过表达Neurogenin-2来标准化和优化iPSC衍生的谷氨酸能神经元生成程序。值得注意的改进包括对成纤维细胞重编程后基因组重排的严格审查、选择均匀整合的NGN2盒群体,以及在神经元分化过程中纳入一个中间步骤来储存神经元祖细胞。单细胞和网络电生理记录显示,神经培养物表现出高度的神经元成熟度和一致性。这些进展旨在为神经疾病的疾病建模和药物筛选提供更可靠的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b151/11965252/18c61607180d/12015_2025_10845_Fig1_HTML.jpg

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