非编码转录本与非人类灵长类动物的大脑静息状态活动有关。
Noncoding transcripts are linked to brain resting-state activity in non-human primates.
机构信息
CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
出版信息
Cell Rep. 2023 Jun 27;42(6):112652. doi: 10.1016/j.celrep.2023.112652. Epub 2023 Jun 18.
Brain-derived transcriptomes are known to correlate with resting-state brain activity in humans. Whether this association holds in nonhuman primates remains uncertain. Here, we search for such molecular correlates by integrating 757 transcriptomes derived from 100 macaque cortical regions with resting-state activity in separate conspecifics. We observe that 150 noncoding genes explain variations in resting-state activity at a comparable level with protein-coding genes. In-depth analysis of these noncoding genes reveals that they are connected to the function of nonneuronal cells such as oligodendrocytes. Co-expression network analysis finds that the modules of noncoding genes are linked to both autism and schizophrenia risk genes. Moreover, genes associated with resting-state noncoding genes are highly enriched in human resting-state functional genes and memory-effect genes, and their links with resting-state functional magnetic resonance imaging (fMRI) signals are altered in the brains of patients with autism. Our results highlight the potential for noncoding RNAs to explain resting-state activity in the nonhuman primate brain.
脑源性转录组与人类静息态大脑活动相关。这种关联在非人类灵长类动物中是否存在尚不确定。在这里，我们通过整合来自 100 个猕猴皮质区域的 757 个转录组，以及在单独同物种中的静息态活动，来寻找这种分子相关性。我们观察到 150 个非编码基因与蛋白质编码基因在解释静息态活动的变化方面具有可比性。对这些非编码基因的深入分析表明，它们与少突胶质细胞等非神经元细胞的功能有关。共表达网络分析发现，非编码基因模块与自闭症和精神分裂症风险基因有关。此外，与静息状态非编码基因相关的基因在人类静息状态功能基因和记忆效应基因中高度富集，并且它们与自闭症患者静息状态功能磁共振成像（fMRI）信号的联系在患者大脑中发生了改变。我们的研究结果强调了非编码 RNA 解释非人类灵长类动物大脑静息状态活动的潜力。
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