A quantitative framework to evaluate modeling of cortical development by neural stem cells

ABSTRACT: In vitro neural stem cell models are widely used to model a wide range of neuropsychiatric conditions. However, how well such models correspond to in vivo brain has not been evaluated in an unbiased, comprehensive manner. We used transcriptomic analyses to compare in vitro systems to developing human fetal brain and observed strong conservation of in vivo gene expression and network architecture in differentiating primary human neural progenitor cells (phNPCs). Conserved modules are enriched in genes associated with ASD, supporting the utility of phNPCs for studying neuropsychiatric disease. We also developed and validated a machine learning approach called CoNTExT that identifies the developmental maturity and regional identity of in vitro models. We observed strong differences between in

ORGANISM(S): Homo sapiens

SUBMITTER: Jason Stein 

PROVIDER: E-GEOD-57595 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress