The DGCR5 long noncoding RNA may regulate expression of several schizophrenia-related genes.
Qingtuan MengKangli WangTonya BrunettiYan XiaChuan JiaoRujia DaiDominic FitzgeraldAmber BaldwinLindsey JayHeather EckartKay GrennanYuka Imamura KawasawaMingfeng LiNenad SestanKevin P WhiteChao ChenYanling LiuPublished in: Science translational medicine (2018)
A number of studies indicate that rare copy number variations (CNVs) contribute to the risk of schizophrenia (SCZ). Most of these studies have focused on protein-coding genes residing in the CNVs. Here, we investigated long noncoding RNAs (lncRNAs) within 10 SCZ risk-associated CNV deletion regions (CNV-lncRNAs) and examined their potential contribution to SCZ risk. We used RNA sequencing transcriptome data derived from postmortem brain tissue from control individuals without psychiatric disease as part of the PsychENCODE BrainGVEX and Developmental Capstone projects. We carried out weighted gene coexpression network analysis to identify protein-coding genes coexpressed with CNV-lncRNAs in the human brain. We identified one neuronal function-related coexpression module shared by both datasets. This module contained a lncRNA called DGCR5 within the 22q11.2 CNV region, which was identified as a hub gene. Protein-coding genes associated with SCZ genome-wide association study signals, de novo mutations, or differential expression were also contained in this neuronal module. Using DGCR5 knockdown and overexpression experiments in human neural progenitor cells derived from human induced pluripotent stem cells, we identified a potential role for DGCR5 in regulating certain SCZ-related genes.
Keyphrases
- network analysis
- copy number
- induced pluripotent stem cells
- genome wide
- long noncoding rna
- genome wide identification
- mitochondrial dna
- endothelial cells
- dna methylation
- bipolar disorder
- genome wide association study
- binding protein
- single cell
- genome wide analysis
- protein protein
- rna seq
- poor prognosis
- amino acid
- cerebral ischemia
- cell proliferation
- mental health
- pluripotent stem cells
- white matter
- case control
- blood brain barrier
- quality improvement
- high resolution
- electronic health record
- risk assessment
- brain injury
- big data
- magnetic resonance
- small molecule
- climate change
- machine learning