Genome-Wide Analysis Identifies NURR1-Controlled Network of New Synapse Formation and Cell Cycle Arrest in Human Neural Stem Cells.
Soo Min KimSoo Young ChoMin Woong KimSeung Ryul RohHee Sun ShinYoung Ho SuhDongho GeumMyung Ae LeePublished in: Molecules and cells (2021)
Nuclear receptor-related 1 (Nurr1) protein has been identified as an obligatory transcription factor in midbrain dopaminergic neurogenesis, but the global set of human NURR1 target genes remains unexplored. Here, we identified direct gene targets of NURR1 by analyzing genome-wide differential expression of NURR1 together with NURR1 consensus sites in three human neural stem cell (hNSC) lines. Microarray data were validated by quantitative PCR in hNSCs and mouse embryonic brains and through comparison to published human data, including genome-wide association study hits and the BioGPS gene expression atlas. Our analysis identified ~40 NURR1 direct target genes, many of them involved in essential protein modules such as synapse formation, neuronal cell migration during brain development, and cell cycle progression and DNA replication. Specifically, expression of genes related to synapse formation and neuronal cell migration correlated tightly with NURR1 expression, whereas cell cycle progression correlated negatively with it, precisely recapitulating midbrain dopaminergic development. Overall, this systematic examination of NURR1-controlled regulatory networks provides important insights into this protein's biological functions in dopamine-based neurogenesis.
Keyphrases
- cell cycle
- genome wide
- cell migration
- endothelial cells
- gene expression
- transcription factor
- genome wide analysis
- dna methylation
- stem cells
- neural stem cells
- cell proliferation
- induced pluripotent stem cells
- binding protein
- pluripotent stem cells
- poor prognosis
- cell death
- cerebral ischemia
- cell cycle arrest
- copy number
- systematic review
- metabolic syndrome
- resting state
- electronic health record
- artificial intelligence
- uric acid
- white matter
- amino acid
- high resolution
- big data
- small molecule
- pi k akt
- data analysis
- network analysis
- functional connectivity