Looking at neurodevelopment through a big data lens

被引：24

作者：

Briscoe, James ^{[1
]}

Marin, Oscar ^{[2
,3
]}

机构：

[1] Francis Crick Inst, London NW1 1AT, England

[2] Kings Coll London, Ctr Dev Neurobiol, Inst Psychiat Psychol & Neurosci, London SE1 1UL, England

[3] Kings Coll London, MRC Ctr Neurodev Disorders, London SE1 1UL, England

来源：

SCIENCE | 2020年 / 369卷 / 6510期

基金：

英国惠康基金; 欧洲研究理事会; 英国医学研究理事会;

关键词：

HUMAN BRAIN-DEVELOPMENT; CELL DIVERSITY; NEURAL CELLS; NEURONS; CIRCUITS; DIFFERENTIATION; DYNAMICS; SEQ; SPECIFICATION; LANDSCAPE;

D O I：

10.1126/science.aaz8627

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1447 / +

页数：9

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