Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China.
The Second Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650101, China.
Asian J Psychiatr. 2023 Jul;85:103649. doi: 10.1016/j.ajp.2023.103649. Epub 2023 May 24.
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 molecular networks and regulatory relationships between different types of transcript may have a role in SCZ.
为了描述不同类型转录本与精神分裂症（SCZ）中改变的分子网络之间的调控关系，我们通过同时定量个体中的 mRNA、长非编码 RNA（lncRNA）、miRNA 和环状 RNA（circRNA），进行了全转录组研究。与对照组相比，807 个失调基因在 SCZ 病例中表现出差异表达。基于网络的分析显示，SCZ 中存在分子网络失调。最后，将转录组数据与已发表数据整合，确定了有希望的 SCZ 候选基因。我们的研究表明，失调的分子网络和不同类型转录本之间的调控关系可能在 SCZ 中发挥作用。
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