人脑类器官研究的严谨性和可重复性:我们的现状与未来。

IF 5.9 2区 医学 Q1 CELL & TISSUE ENGINEERING Stem Cell Reports Pub Date : 2024-06-11 Epub Date: 2024-05-16 DOI:10.1016/j.stemcr.2024.04.008
Soraya O Sandoval, Gerarda Cappuccio, Karina Kruth, Sivan Osenberg, Saleh M Khalil, Natasha M Méndez-Albelo, Krishnan Padmanabhan, Daifeng Wang, Mark J Niciu, Anita Bhattacharyya, Jason L Stein, André M M Sousa, Elisa A Waxman, Elizabeth D Buttermore, Dosh Whye, Carissa L Sirois, Aislinn Williams, Mirjana Maletic-Savatic, Xinyu Zhao
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引用次数: 0

摘要

人脑类器官模型已成为研究人脑发育和功能的一种很有前途的工具。这些模型保留了人类遗传学,重现了人类大脑发育的某些方面,同时便于在体外环境中进行操作。尽管这些模型具有改变生物学和医学的潜力,但对其真实性的担忧依然存在。要充分利用它们的潜力,当务之急是建立可靠的分析方法,确保其严谨性和可重复性。在此,我们回顾了目前用于表征人类前脑皮质器官组织的分析平台,强调了所面临的挑战,并为未来的研究提出了建议,以实现各实验室之间更高的精确性和一致性。
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Rigor and reproducibility in human brain organoid research: Where we are and where we need to go.

Human brain organoid models have emerged as a promising tool for studying human brain development and function. These models preserve human genetics and recapitulate some aspects of human brain development, while facilitating manipulation in an in vitro setting. Despite their potential to transform biology and medicine, concerns persist about their fidelity. To fully harness their potential, it is imperative to establish reliable analytic methods, ensuring rigor and reproducibility. Here, we review current analytical platforms used to characterize human forebrain cortical organoids, highlight challenges, and propose recommendations for future studies to achieve greater precision and uniformity across laboratories.

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来源期刊
Stem Cell Reports
Stem Cell Reports CELL & TISSUE ENGINEERING-CELL BIOLOGY
CiteScore
10.50
自引率
1.70%
发文量
200
审稿时长
28 weeks
期刊介绍: Stem Cell Reports publishes high-quality, peer-reviewed research presenting conceptual or practical advances across the breadth of stem cell research and its applications to medicine. Our particular focus on shorter, single-point articles, timely publication, strong editorial decision-making and scientific input by leaders in the field and a "scoop protection" mechanism are reasons to submit your best papers.
期刊最新文献
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