A Review of the Application of Spatial Transcriptomics in Neuroscience.

IF 3.9 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Interdisciplinary Sciences: Computational Life Sciences Pub Date : 2024-06-01 Epub Date: 2024-02-20 DOI:10.1007/s12539-024-00603-4

Le Zhang, Zhenqi Xiong, Ming Xiao

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引用次数: 0

Abstract

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.

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空间转录组学在神经科学中的应用综述。

由于空间转录组学可以定位和区分功能基因在特殊区域和组织中的基因表达，因此对于我们研究脑发育、脑疾病的发生机制以及脑科学（或脑科学）中脑结构与功能之间的关系具有重要意义。虽然以往的研究已经介绍了重要的空间转录组学技术和数据分析方法，但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的研究还很少。为此，我们首先研究了几种常见的空间转录组数据分析方法和数据资源。其次，介绍空间转录组数据分析方法在神经科学中的应用。第三，我们总结了神经科学中空间转录组学与其他技术的整合。最后，我们讨论了空间转录组学在神经科学领域面临的挑战和未来的研究方向。

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来源期刊

Interdisciplinary Sciences: Computational Life Sciences MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

8.60

自引率

4.20%

发文量

期刊介绍： Interdisciplinary Sciences--Computational Life Sciences aims to cover the most recent and outstanding developments in interdisciplinary areas of sciences, especially focusing on computational life sciences, an area that is enjoying rapid development at the forefront of scientific research and technology. The journal publishes original papers of significant general interest covering recent research and developments. Articles will be published rapidly by taking full advantage of internet technology for online submission and peer-reviewing of manuscripts, and then by publishing OnlineFirstTM through SpringerLink even before the issue is built or sent to the printer. The editorial board consists of many leading scientists with international reputation, among others, Luc Montagnier (UNESCO, France), Dennis Salahub (University of Calgary, Canada), Weitao Yang (Duke University, USA). Prof. Dongqing Wei at the Shanghai Jiatong University is appointed as the editor-in-chief; he made important contributions in bioinformatics and computational physics and is best known for his ground-breaking works on the theory of ferroelectric liquids. With the help from a team of associate editors and the editorial board, an international journal with sound reputation shall be created.