Molecular and Behavioral Neuroscience Institute.
Department of Human Genetics, and.
J Neurosci. 2018 Mar 7;38(10):2399-2412. doi: 10.1523/JNEUROSCI.1930-17.2018. Epub 2018 Feb 7.
Transcriptional programs instruct the generation and maintenance of diverse subtypes of neural cells, establishment of distinct brain regions, formation and function of neural circuits, and ultimately behavior. Spatiotemporal and cell type-specific analyses of the transcriptome, the sum total of all RNA transcripts in a cell or an organ, can provide insights into the role of genes in brain development and function, and their potential contribution to disorders of the brain. In the previous decade, advances in sequencing technology and funding from the National Institutes of Health and private foundations for large-scale genomics projects have led to a growing collection of brain transcriptome databases. These valuable resources provide rich and high-quality datasets with spatiotemporal, cell type-specific, and single-cell precision. Most importantly, many of these databases are publicly available via user-friendly web interface, making the information accessible to individual scientists without the need for advanced computational expertise. Here, we highlight key publicly available brain transcriptome databases, summarize the tissue sources and methods used to generate the data, and discuss their utility for neuroscience research.
转录程序指导不同亚型的神经细胞的产生和维持、不同脑区的建立、神经回路的形成和功能，最终影响行为。对细胞或器官中所有 RNA 转录本总和的转录组进行时空和细胞类型特异性分析，可以深入了解基因在大脑发育和功能中的作用，以及它们对大脑疾病的潜在贡献。在过去十年中，测序技术的进步以及美国国立卫生研究院和私人基金会为大规模基因组学项目提供的资金，导致了越来越多的大脑转录组数据库的出现。这些有价值的资源提供了丰富且高质量的数据集，具有时空、细胞类型特异性和单细胞精度。最重要的是，其中许多数据库可通过用户友好的网络界面公开获取，使得个体科学家无需先进的计算专业知识即可访问这些信息。在这里，我们重点介绍了一些主要的公开可用的大脑转录组数据库，总结了用于生成这些数据的组织来源和方法，并讨论了它们在神经科学研究中的应用。
