Whole transcriptome analysis reveals dysregulation of molecular networks in schizophrenia
ASIAN JOURNAL OF PSYCHIATRY(2023)
摘要
To characterize the regulatory relationships between different types of transcripts and the altered molecular networks in schizophrenia (SCZ), we performed a whole transcriptome study by quantifying mRNAs, long noncoding RNAs (lncRNAs), miRNAs, and circular RNAs (circRNAs) in the same individuals simultaneously. A total of 807 dysregulated genes showed differential expression in SCZ cases compared with controls. Network-based analysis revealed dysregulation of molecular networks in SCZ. Finally, integration of the transcriptome data with published data identified promising SCZ candidate genes. Our study reveals that dysregulated mo-lecular networks and regulatory relationships between different types of transcript may have a role in SCZ.
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关键词
Schizophrenia,Peripheral blood,Gene expression,Noncoding RNAs,Molecular network,Risk genes
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