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从大数据视角看神经发育。

Looking at neurodevelopment through a big data lens.

机构信息

The Francis Crick Institute, London NW1 1AT, UK.

Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, UK.

出版信息

Science. 2020 Sep 18;369(6510). doi: 10.1126/science.aaz8627.

Abstract

The formation of the human brain, which contains nearly 100 billion neurons making an average of 1000 connections each, represents an astonishing feat of self-organization. Despite impressive progress, our understanding of how neurons form the nervous system and enable function is very fragmentary, especially for the human brain. New technologies that produce large volumes of high-resolution measurements-big data-are now being brought to bear on this problem. Single-cell molecular profiling methods allow the exploration of neural diversity with increasing spatial and temporal resolution. Advances in human genetics are shedding light on the genetic architecture of neurodevelopmental disorders, and new approaches are revealing plausible neurobiological mechanisms underlying these conditions. Here, we review the opportunities and challenges of integrating large-scale genomics and genetics for the study of brain development.

摘要

人类大脑的形成包含近 1000 亿个神经元,每个神经元平均形成 1000 个连接,这代表了令人惊叹的自我组织能力。尽管取得了令人印象深刻的进展,但我们对神经元如何形成神经系统并使其发挥功能的理解还非常零碎,特别是对于人类大脑而言。现在,新技术正在被应用于解决这个问题,这些新技术能够产生大量高分辨率的测量结果——大数据。单细胞分子分析方法使我们能够以越来越高的时空分辨率来探索神经多样性。人类遗传学的进步揭示了神经发育障碍的遗传结构,新的方法也揭示了这些疾病背后可能的神经生物学机制。在这里,我们回顾了整合大规模基因组学和遗传学来研究大脑发育的机会和挑战。

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