Directed differentiation of human pluripotent stem cells to cerebral cortex neurons and neural networks

Yichen Shi, Peter Kirwan, Frederick J. Livesey*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

682 Citations (Scopus)

Abstract

Efficient derivation of human cerebral neocortical neural stem cells (NSCs) and functional neurons from pluripotent stem cells (PSCs) facilitates functional studies of human cerebral cortex development, disease modeling and drug discovery. Here we provide a detailed protocol for directing the differentiation of human embryonic stem cells (hESCs) and induced pluripotent stem cells (iPSCs) to all classes of cortical projection neurons. We demonstrate an 80-d, three-stage process that recapitulates cortical development, in which human PSCs (hPSCs) first differentiate to cortical stem and progenitor cells that then generate cortical projection neurons in a stereotypical temporal order before maturing to actively fire action potentials, undergo synaptogenesis and form neural circuits in vitro. Methods to characterize cortical neuron identity and synapse formation are described.

Original languageEnglish
Pages (from-to)1836-1846
Number of pages11
JournalNature Protocols
Volume7
Issue number10
DOIs
Publication statusPublished - 6 Sept 2012
Externally publishedYes

Bibliographical note

Funding Information:
acknoWleDGMents We thank all members of the Livesey group for feedback on the practical details of the protocol reported here. Y.S. was supported by a Biotechnology and Biological Sciences Research Council Dorothy Hodgkin Studentship. P.K. was supported by the University of Cambridge/Wellcome Trust PhD Programme in Developmental Biology. This research benefits from core support to the Gurdon Institute from the Wellcome Trust and Cancer Research UK and grants to F.J.L. from the Wellcome Trust and Alzheimer’s Research UK.

Fingerprint

Dive into the research topics of 'Directed differentiation of human pluripotent stem cells to cerebral cortex neurons and neural networks'. Together they form a unique fingerprint.

Cite this