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通过皮质测序分析精神分裂症中线粒体和凝血功能的转录组改变

Transcriptome alterations of mitochondrial and coagulation function in schizophrenia by cortical sequencing analysis.

作者信息

Huang Kuo-Chuan, Yang Ko-Chun, Lin Han, Tsao Theresa Tsun-Hui, Lee Sheng-An

出版信息

BMC Genomics. 2014;15 Suppl 9(Suppl 9):S6. doi: 10.1186/1471-2164-15-S9-S6. Epub 2014 Dec 8.

Abstract

BACKGROUND

Transcriptome sequencing of brain samples provides detailed enrichment analysis of differential expression and genetic interactions for evaluation of mitochondrial and coagulation function of schizophrenia. It is implicated that schizophrenia genetic and protein interactions may give rise to biological dysfunction of energy metabolism and hemostasis. These findings may explain the biological mechanisms responsible for negative and withdraw symptoms of schizophrenia and antipsychotic-induced venous thromboembolism.

RESULTS

Published BA22 RNA-Seq brain data of 9 schizophrenic patients and 9 controls samples were analyzed. The differentially expressed genes in the BA22 brain samples of schizophrenia are proposed as schizophrenia candidate marker genes (SCZCGs). The genetic interactions between mitochondrial genes and many under-expressed SCZCGs indicate the genetic predisposition of mitochondria dysfunction in schizophrenia. The biological functions of SCZCGs, as listed in the Pathway Interaction Database (PID), indicate that these genes have roles in DNA binding transcription factor, signal and cancer-related pathways, coagulation and cell cycle regulation and differentiation pathways.

CONCLUSIONS

It is implicated that the energy metabolism and hemostatic process have important roles in the pathogenesis for schizophrenia. The cross-talk of genetic interaction by these co-expressed genes and reached candidate genes may address the key network in disease pathology. The accuracy of candidate genes evaluated from different quantification tools could be improved by crosstalk analysis of overlapping genes in genetic networks.

摘要

背景

对脑样本进行转录组测序可提供详细的差异表达富集分析以及基因相互作用分析,用于评估精神分裂症的线粒体功能和凝血功能。有研究表明,精神分裂症的基因和蛋白质相互作用可能导致能量代谢和止血的生物学功能障碍。这些发现可能解释了精神分裂症阴性和退缩症状以及抗精神病药物引起的静脉血栓栓塞的生物学机制。

结果

对已发表的9例精神分裂症患者和9例对照样本的BA22 RNA-Seq脑数据进行了分析。精神分裂症患者BA22脑样本中的差异表达基因被提议作为精神分裂症候选标记基因(SCZCGs)。线粒体基因与许多低表达的SCZCGs之间的基因相互作用表明精神分裂症中线粒体功能障碍的遗传易感性。通路相互作用数据库(PID)中列出的SCZCGs的生物学功能表明,这些基因在DNA结合转录因子、信号和癌症相关通路、凝血以及细胞周期调控和分化通路中发挥作用。

结论

有研究表明,能量代谢和止血过程在精神分裂症的发病机制中具有重要作用。这些共表达基因和候选基因之间的遗传相互作用的相互影响可能揭示疾病病理学中的关键网络。通过对遗传网络中重叠基因的相互影响分析,可以提高从不同定量工具评估的候选基因的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/4290619/0728b9144e38/1471-2164-15-S9-S6-2.jpg

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