Tebbenkamp Andrew T N, Willsey A Jeremy, State Matthew W, Sestan Nenad
aDepartment of Neurobiology and Kavli Institute for Neuroscience bDepartment of Genetics, Yale School of Medicine, New Haven, Connecticut, cDepartment of Psychiatry, University of California, San Francisco, San Francisco, California, USA.
Curr Opin Neurol. 2014 Apr;27(2):149-56. doi: 10.1097/WCO.0000000000000069.
Recent characterizations of the transcriptome of the developing human brain by several groups have generated comprehensive datasets on coding and noncoding RNAs that will be instrumental for illuminating the underlying biology of complex neurodevelopmental disorders. This review summarizes recent studies successfully utilizing these data to increase our understanding of the molecular mechanisms of pathogenesis.
Several approaches have successfully integrated developmental transcriptome data with gene discovery to generate testable hypotheses about when and where in the developing human brain disease-associated genes converge. Specifically, these include the projection neurons in the prefrontal and primary motor--somatosensory cortex during mid-fetal development in autism spectrum disorder and the frontal cortex during fetal development in schizophrenia.
Developmental transcriptome data is a key to interpreting disease-associated mutations and transcriptional changes. Novel approaches integrating the spatial and temporal dimensions of these data have increased our understanding of when and where disease occurs. Refinement of spatial and temporal properties and expanding these findings to other neurodevelopmental disorders will provide critical insights for understanding disease biology.
近期多个研究团队对发育中的人类大脑转录组进行了表征,生成了关于编码和非编码RNA的全面数据集,这将有助于阐明复杂神经发育障碍的潜在生物学机制。本综述总结了近期成功利用这些数据增进我们对发病机制分子机制理解的研究。
几种方法已成功将发育转录组数据与基因发现相结合,以生成关于疾病相关基因在发育中的人类大脑中何时何地汇聚的可测试假设。具体而言,这些包括自闭症谱系障碍中胎儿中期发育期间前额叶和初级运动-体感皮层中的投射神经元,以及精神分裂症胎儿发育期间的额叶皮层。
发育转录组数据是解释疾病相关突变和转录变化的关键。整合这些数据的时空维度的新方法增进了我们对疾病发生时间和地点的理解。完善时空特性并将这些发现扩展到其他神经发育障碍将为理解疾病生物学提供关键见解。