Transcriptomics

Dataset Information

0

Trans-omic Profiling Uncovers Molecular Controls of the Early Human Cerebral Organoid Formation


ABSTRACT: Defining molecular controls that orchestrate human brain development is essential for uncovering the complexity behind neurodevelopment and the pathogenesis of neurological disorders. Due to the difficulties in accessing embryonic and fetal brain tissues, the differentiation of human pluripotent stem cell (hPSC)-derived three-dimensional neural organoids has made it possible to recapitulate this developmental process in vitro and provide a unique opportunity to investigate human brain development and disease. To elucidate the molecular programs that drive this highly dynamic process, here, we generate a comprehensive trans-omic map of the phosphoproteome, proteome, and transcriptome of the initial stages of pluripotency and neural differentiation towards the formation of cerebral organoids. Our integrative analysis uncovers key phospho-signalling events underlying neural lineage differentiation, and their convergence on transcriptional (co-)factors and chromatin remodellers that govern downstream gene regulatory networks (GRNs). Comparative analysis with developing human and mouse embryos using these GRNs demonstrates the fidelity of our early cerebral organoids in modelling embryonic brain development. Finally, we demonstrate biochemical modulation of the AKT signalling as a key molecular switch for controlling human cerebral organoid formation. Our data provides a comprehensive resource to gain insight into the molecular controls in human embryonic brain development and also provide a guide for future development of protocols for human cerebral organoid differentiation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE248901 | GEO | 2024/04/21

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-04-23 | PXD047423 | Pride
2023-02-23 | GSE218457 | GEO
2015-12-07 | E-GEOD-75140 | biostudies-arrayexpress
2024-05-27 | MSV000094878 | MassIVE
2023-05-23 | MTBLS7565 | MetaboLights
2023-12-12 | GSE249624 | GEO
2016-12-20 | GSE82022 | GEO
2019-10-16 | E-MTAB-8089 | biostudies-arrayexpress
2015-12-07 | GSE75140 | GEO
2024-02-22 | GSE190729 | GEO