Quantitative high-throughput gene expression profiling of human striatal development to screen stem cell-derived medium spiny neurons

Marco Straccia, Gerardo Garcia Diaz Barriga, Phil Sanders, Georgina Bombau, Jordi Carrere, Pedro Belio Mairal, Ngoc Nga Vinh, Sun Yung, Claire M. Kelly, Clive N. Svendsen, Paul J. Kemp, Jamshid Arjomand, Ryan C. Schoenfeld, Jordi Alberch, Nicholas D. Allen, Anne E. Rosser, Josep M. Canals*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

A systematic characterization of the spatio-temporal gene expression during human neurodevelopment is essential to understand brain function in both physiological and pathological conditions. In recent years, stem cell technology has provided an in vitro tool to recapitulate human development, permitting also the generation of human models for many diseases. The correct differentiation of human pluripotent stem cell (hPSC) into specific cell types should be evaluated by comparison with specific cells/tissue profiles from the equivalent adult in vivo organ. Here, we define by a quantitative high-throughput gene expression analysis the subset of specific genes of the whole ganglionic eminence (WGE) and adult human striatum. Our results demonstrate that not only the number of specific genes is crucial but also their relative expression levels between brain areas. We next used these gene profiles to characterize the differentiation of hPSCs. Our findings demonstrate a temporal progression of gene expression during striatal differentiation of hPSCs from a WGE toward an adult striatum identity. Present results establish a gene expression profile to qualitatively and quantitatively evaluate the telencephalic hPSC-derived progenitors eventually used for transplantation and mature striatal neurons for disease modeling and drug-screening.

Original languageEnglish
Article number15030
Pages (from-to)15030
Number of pages1
JournalMolecular Therapy Methods and Clinical Development
Volume2
DOIs
Publication statusPublished - 29 Apr 2015
Externally publishedYes

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