Looking at neurodevelopment through a big data lens

Science. 2020 Sep 18;369(6510):eaaz8627. 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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Big Data*
  • Brain / cytology
  • Brain / growth & development*
  • Female
  • Genetic Variation
  • Genomics
  • Humans
  • Male
  • Neurodevelopmental Disorders / genetics*
  • Neurons / physiology
  • Single Molecule Imaging
  • Single-Cell Analysis