College of Computer Science, Sichuan University, Chengdu, 610065, China.
Interdiscip Sci. 2024 Jun;16(2):243-260. doi: 10.1007/s12539-024-00603-4. Epub 2024 Feb 20.
Since spatial transcriptomics can locate and distinguish the gene expression of functional genes in special regions and tissue, it is important for us to investigate the brain development, the development mechanism of brain diseases, and the relationship between brain structure and function in Neuroscience (or Brain science). While previous studies have introduced the crucial spatial transcriptomic techniques and data analysis methods, there are few studies to comprehensively overview the key methods, data resources, and technological applications of spatial transcriptomics in Neuroscience. For these reasons, we first investigate several common spatial transcriptomic data analysis approaches and data resources. Second, we introduce the applications of the spatial transcriptomic data analysis approaches in Neuroscience. Third, we summarize the integrating spatial transcriptomics with other technologies in Neuroscience. Finally, we discuss the challenges and future research directions of spatial transcriptomics in Neuroscience.
由于空间转录组学可以定位和区分特定区域和组织中功能基因的基因表达,因此对于我们研究神经科学(或脑科学)中的大脑发育、脑疾病的发展机制以及大脑结构和功能之间的关系非常重要。虽然之前的研究已经介绍了关键的空间转录组学技术和数据分析方法,但很少有研究全面概述空间转录组学在神经科学中的关键方法、数据资源和技术应用。基于这些原因,我们首先研究了几种常见的空间转录组学数据分析方法和数据资源。其次,我们介绍了空间转录组学数据分析方法在神经科学中的应用。第三,我们总结了将空间转录组学与神经科学中的其他技术相结合的情况。最后,我们讨论了空间转录组学在神经科学中的挑战和未来研究方向。