从细胞到自我再回来:单细胞分辨率下的人类神经多样性。

Manuel Lessi, Nicolò Caporale, Giuseppe Testa
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引用次数: 0

摘要

人类大脑发育的特点是复杂的细胞和分子景观,这在个体内部和个体之间都是不同的。在这里,我们探索单细胞组学技术对我们理解人类神经多样性和神经复杂性的变革性影响。我们追溯了细胞和分子生物学的历史进展,强调细胞作为生物学研究的关键“占位者”,作为更好地理解当前单细胞分析革命的基础,使个体基因组和环境相互作用的研究能够以前所未有的分辨率进行。从定义神经发育中的细胞类型和状态的挑战开始,我们强调超越分类区分以理解个体间神经多样性的分子基础的重要性,包括遗传学,环境和发育随机性。我们引入了“体外流行病学”的概念,利用脑类器官和多路复用方法来模拟体外群体规模的队列,从而能够在单细胞分辨率下解剖基因-环境相互作用。我们进一步讨论了推动该领域向前发展的技术进步和计算方法,包括创建人类大脑综合细胞图谱的努力以及数据集成和分析方面的新挑战。最后,我们预测单细胞研究和脑类器官的未来前景,以促进我们对神经生物学的理解,以及基于细胞的药物发现和个性化治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From cells to selves and back: human neurodiversity at single cell resolution.

Human brain development is characterized by a complex cellular and molecular landscape, which vary both within and between individuals. Here we explore the transformative impact of single-cell omics technologies on our understanding of human neurodiversity and neurocomplexity. We trace historical progressions of cellular and molecular biology, highlighting the cell as a pivotal "place holder" for biological inquiry, as a basis to better understand the current revolution of single-cell profiling enabling the study of individual genomes and environmental interactions at unprecedented resolution. Starting from the challenges of defining cell types and states within neurodevelopment, we emphasize the significance of moving beyond categorical distinctions to understand the molecular basis of inter-individual neurodiversity, including genetics, environment, and developmental stochasticity. We introduce the concept of "in vitro epidemiology", leveraging brain organoids and multiplexing approaches to model population-scale cohorts in vitro and thus enabling the dissection of gene-environment interactions at single-cell resolution. We further discuss technical advancements and computational methodologies that are driving the field forward, including the efforts to create comprehensive cell atlases of the human brain and the emerging challenges in data integration and analysis. Finally, we anticipate future perspectives for single-cell studies and brain organoids in advancing our understanding of neurobiology, and cell-based strategies for drug discovery and personalized treatment.

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