体外人脑模型基因筛选的前景。

IF 2.9 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biological Chemistry Pub Date : 2023-09-12 Print Date: 2024-01-29 DOI:10.1515/hsz-2023-0174
Julianne Beirute-Herrera, Beatriz López-Amo Calvo, Frank Edenhofer, Christopher Esk
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引用次数: 0

摘要

体外培养模型的进步使人们对人类神经生物学有了前所未有的了解。与此同时,基因筛选已经成熟为一个强大的和可访问的实验策略,允许同时研究许多基因并行。这两种技术的结合对神经科学家来说是一种新兴的工具,为识别细胞和组织特异性的因果发育和疾病机制打开了大门。然而,随着复杂的实验遗传筛选设置,在数据解释和实验范围方面出现了新的挑战,需要深入了解个人方法的好处和挑战。在本文中,我们总结了将遗传筛查应用于体外脑模型的文献,比较了实验的优缺点,并指出了这些有前途的方法的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The promise of genetic screens in human in vitro brain models.

Advances of in vitro culture models have allowed unprecedented insights into human neurobiology. At the same time genetic screening has matured into a robust and accessible experimental strategy allowing for the simultaneous study of many genes in parallel. The combination of both technologies is a newly emerging tool for neuroscientists, opening the door to identifying causal cell- and tissue-specific developmental and disease mechanisms. However, with complex experimental genetic screening set-ups new challenges in data interpretation and experimental scope arise that require a deep understanding of the benefits and challenges of individual approaches. In this review, we summarize the literature that applies genetic screening to in vitro brain models, compare experimental strengths and weaknesses and point towards future directions of these promising approaches.

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来源期刊
Biological Chemistry
Biological Chemistry 生物-生化与分子生物学
CiteScore
7.20
自引率
0.00%
发文量
63
审稿时长
4-8 weeks
期刊介绍: Biological Chemistry keeps you up-to-date with all new developments in the molecular life sciences. In addition to original research reports, authoritative reviews written by leading researchers in the field keep you informed about the latest advances in the molecular life sciences. Rapid, yet rigorous reviewing ensures fast access to recent research results of exceptional significance in the biological sciences. Papers are published in a "Just Accepted" format within approx.72 hours of acceptance.
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