Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Sci Transl Med. 2018 Dec 19;10(472). doi: 10.1126/scitranslmed.aat8178. Epub 2018 Dec 13.
Schizophrenia and bipolar disorder are complex psychiatric diseases with risks contributed by multiple genes. Dysregulation of gene expression has been implicated in these disorders, but little is known about such dysregulation in the human brain. We analyzed three transcriptome datasets from 394 postmortem brain tissue samples from patients with schizophrenia or bipolar disorder or from healthy control individuals without a known history of psychiatric disease. We built genome-wide coexpression networks that included microRNAs (miRNAs). We identified a coexpression network module that was differentially expressed in the brain tissue from patients compared to healthy control individuals. This module contained genes that were principally involved in glial and neural cell genesis and glial cell differentiation, and included schizophrenia risk genes carrying rare variants. This module included five miRNAs and 545 mRNAs, with six transcription factors serving as hub genes in this module. We found that the most connected transcription factor gene , also identified on a genome-wide association study for bipolar disorder, could regulate the miRNA and other putative target mRNAs. These regulatory relationships were replicated using PsychENCODE/BrainGVEX datasets and validated by knockdown and overexpression experiments in SH-SY5Y cells and human neural progenitor cells in vitro. Thus, we identified a brain gene expression module that was enriched for rare coding variants in genes associated with schizophrenia and that contained the putative bipolar disorder risk gene The transcription factor may be a key regulator of gene expression in this disease-associated gene coexpression module.
精神分裂症和双相情感障碍是复杂的精神疾病,其风险由多个基因贡献。基因表达的失调与这些疾病有关,但人们对人类大脑中的这种失调知之甚少。我们分析了来自 394 个死后脑组织样本的三个转录组数据集,这些样本来自精神分裂症或双相情感障碍患者或没有已知精神疾病史的健康对照个体。我们构建了包含 microRNAs(miRNAs)的全基因组共表达网络。我们确定了一个在患者脑组织中与健康对照个体相比差异表达的共表达网络模块。该模块包含主要参与神经胶质和神经元发生和神经胶质细胞分化的基因,并且包含携带罕见变异的精神分裂症风险基因。该模块包含 5 个 miRNAs 和 545 个 mRNAs,其中 6 个转录因子作为该模块中的枢纽基因。我们发现,最连接的转录因子基因也在全基因组关联研究中被确定为双相情感障碍的风险基因,可以调节 miRNA 和其他潜在的靶标 mRNAs。这些调控关系使用 PsychENCODE/BrainGVEX 数据集进行了复制,并通过在 SH-SY5Y 细胞和体外人神经祖细胞中的敲低和过表达实验进行了验证。因此,我们确定了一个富含与精神分裂症相关基因的罕见编码变异的大脑基因表达模块,其中包含潜在的双相情感障碍风险基因 。转录因子 可能是这个与疾病相关的基因共表达模块中基因表达的关键调节剂。