Laboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, Czech Republic; Department of Cellular Neurophysiology, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
Laboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, Czech Republic; Department of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, Prague, Czech Republic.
Mol Aspects Med. 2024 Jun;97:101276. doi: 10.1016/j.mam.2024.101276. Epub 2024 May 21.
Spatial transcriptomics is revolutionizing modern biology, offering researchers an unprecedented ability to unravel intricate gene expression patterns within tissues. From pioneering techniques to newly commercialized platforms, the field of spatial transcriptomics has evolved rapidly, ushering in a new era of understanding across various disciplines, from developmental biology to disease research. This dynamic expansion is reflected in the rapidly growing number of technologies and data analysis techniques developed and introduced. However, the expanding landscape presents a considerable challenge for researchers, especially newcomers to the field, as staying informed about these advancements becomes increasingly complex. To address this challenge, we have prepared an updated review with a particular focus on technologies that have reached commercialization and are, therefore, accessible to a broad spectrum of potential new users. In this review, we present the fundamental principles of spatial transcriptomic methods, discuss the challenges in data analysis, provide insights into experimental considerations, offer information about available resources for spatial transcriptomics, and conclude with a guide for method selection and a forward-looking perspective. Our aim is to serve as a guiding resource for both experienced users and newcomers navigating the complex realm of spatial transcriptomics in this era of rapid development. We intend to equip researchers with the necessary knowledge to make informed decisions and contribute to the cutting-edge research that spatial transcriptomics offers.
空间转录组学正在彻底改变现代生物学,为研究人员提供了前所未有的能力,能够在组织内解开复杂的基因表达模式。从开创性的技术到新商业化的平台,空间转录组学领域发展迅速,引领了从发育生物学到疾病研究等各个学科的新时代理解。这种动态扩展反映在不断发展和引入的大量技术和数据分析技术中。然而,不断扩大的领域对研究人员,特别是该领域的新手来说,是一个相当大的挑战,因为要了解这些进展变得越来越复杂。为了解决这个挑战,我们准备了一个更新的综述,特别关注已经商业化的技术,因此可以为广泛的潜在新用户提供服务。在这篇综述中,我们介绍了空间转录组学方法的基本原理,讨论了数据分析的挑战,提供了实验考虑因素的见解,介绍了空间转录组学可用资源的信息,并以方法选择指南和前瞻性观点结束。我们的目标是为经验丰富的用户和在这个快速发展的时代探索空间转录组学复杂领域的新手提供指导资源。我们旨在为研究人员提供做出明智决策所需的知识,并为空间转录组学提供的前沿研究做出贡献。