Dataset Information

Translational Landscape in Human Early Neural Fate Determination

ABSTRACT: Gene expression regulation in eukaryotes is a multi-level process, including transcription, mRNA translation, and protein turnover. Many studies have reported the sophisticated transcriptional regulations during neural development, but the global translational dynamics is still ambiguous. Here, we differentiated human embryonic stem cells (ESCs) into neural progenitor cells (NPCs) with high efficiency and performed ribosome sequencing and RNA sequencing on both ESCs and NPCs. Data analysis revealed that translational controls engaged in many critical pathways and contributed significantly to neural fate determination regulation. Furthermore, we showed that the sequence characteristics in the untranslated region (UTR) might regulate translation efficiency. Specifically, genes with short 5UTR and intense Kozak sequence are associated with high translation efficiency in human ESCs, while genes with long 3'UTR are related to high translation efficiency in NPCs. In addition, we identified four biasedly-used codons (GAC, GAT, AGA, and AGG) and dozens of short open reading frames during neural progenitor differentiation. Thus, our study reveals the translational landscape during early human neural differentiation and provides insights into the regulation of cell fate determination at the translational level.

ORGANISM(S): Homo sapiens

PROVIDER: GSE208082 | GEO | 2023/03/04

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Tuberous sclerosis complex (TSC) is an inherited multi-system disorder caused by mutations in the TSC1 or TSC2 gene. TSC patients are often diagnosed with a range of neurodevelopmental (ND) manifestations termed TSC-associated neuropsychiatric disorders (TAND) including autism spectrum disorder (ASD), intellectual disability (ID), anxiety and mood disorders. Hamartin (TSC1) and tuberin (TSC2) proteins form a complex inhibiting mechanistic target of rapamycin complex 1 (mTORC1) kinase signaling. Loss of TSC1 or TSC2 activates mTORC1 that, among several targets, controls protein synthesis by inhibiting translational repressor eIF4E-binding proteins. Using neural progenitor cells (NPCs) from patient-derived induced pluripotent stem cells (iPSCs), we recently reported early ND phenotypic changes, including increased cell proliferation and altered neurite outgrowth in CRISPR-modified TSC1-null NPCs, which were unaffected by mTORC1 inhibition by rapamycin,the only approved therapy for TSC1. Here, to assess TSC1-dependent gene expression programs in NPCs, we used polysome-profiling, which quantifies changes in mRNA abundance and translational efficiencies at a transcriptome-wide level. In addition to changes in mRNA abundance, this revealed numerous TSC1-dependent alterations in translational efficiencies. To assess the relevance of these gene expression alterations we performed polysome-profiling in post-mortem brains originating from ASD donors and matched controls. Strikingly, TSC1-dependent alterations in mRNA translation observed in NPCs were largely recapitulated in human brains. Furthermore, although polysome-profiling revealed a partial reversal of TSC1-associated gene expression alterations following rapamycin treatment, most genes related to neural activity/synaptic regulation or ASD that showed TSC1-dependent translation were rapamycin-insensitive. Therefore, we also examined whether early ND rapamycin-insensitive phenotypes in TSC1-null NPCs could be rescued by a third-generation bi-steric, mTORC1-selective inhibitor RMC-6272 (Revolution Medicines, Inc.). Unlike rapamycin, RMC-6272 strongly inhibited translation and reversed TSC1-associated proliferation and neurite outgrowth phenotypes. In summary, we reveal ample translational alterations in TSC1 patient-derived NPCs recapitulating human brain expression profiles and potential implications for treatment of TAND.

Dataset Information

Translational Landscape in Human Early Neural Fate Determination

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets