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Anchoring a dynamic in vitro model of human neuronal differentiation to key processes of early brain development in vivo.


ABSTRACT: We characterize temporal pathway dynamics of differentiation in an in vitro neurotoxicity model with the aim of informing design and interpretation of toxicological assays. Human neural progenitor cells (hNPCs) were cultured in differentiation conditions up to 21 days. Genes significantly changed through time were identified and grouped according to temporal dynamics. Quantitative pathway analysis identified gene ontology (GO) terms enriched among significantly changed genes and provided a temporal roadmap of pathway trends in vitro. Gene expression in hNPCs was compared with publicly available gene expression data from developing human brain tissue in vivo. Quantitative pathway analysis of significantly changed genes and targeted analysis of specific pathways of interest identified concordance between in vivo and in vitro expression associated with proliferation, migration, differentiation, synapse formation, and neurotransmission. Our analysis anchors gene expression patterns in vitro to sensitive windows of in vivo development, helping to define appropriate applications of the model.

SUBMITTER: Wegner SH 

PROVIDER: S-EPMC6980388 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Anchoring a dynamic in vitro model of human neuronal differentiation to key processes of early brain development in vivo.

Wegner Susanna H SH   Park Julie Juyoung JJ   Workman Tomomi T   Hermsen Sanne A B SAB   Wallace Jim J   Stanaway Ian B IB   Kim Hee Yeon HY   Griffith William C WC   Hong Sungwoo S   Faustman Elaine M EM  

Reproductive toxicology (Elmsford, N.Y.) 20191116


We characterize temporal pathway dynamics of differentiation in an in vitro neurotoxicity model with the aim of informing design and interpretation of toxicological assays. Human neural progenitor cells (hNPCs) were cultured in differentiation conditions up to 21 days. Genes significantly changed through time were identified and grouped according to temporal dynamics. Quantitative pathway analysis identified gene ontology (GO) terms enriched among significantly changed genes and provided a tempo  ...[more]

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