Spatially Resolved Transcriptomes-Next Generation Tools for Tissue Exploration.,BioEssays

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Spatially Resolved Transcriptomes-Next Generation Tools for Tissue Exploration.
BioEssays ( IF 3.2 ) Pub Date : 2020-05-04 , DOI: 10.1002/bies.201900221
Michaela Asp ₁ , Joseph Bergenstråhle ₁ , Joakim Lundeberg ₁

Affiliation

Recent advances in spatially resolved transcriptomics have greatly expanded the knowledge of complex multicellular biological systems. The field has quickly expanded in recent years, and several new technologies have been developed that all aim to combine gene expression data with spatial information. The vast array of methodologies displays fundamental differences in their approach to obtain this information, and thus, demonstrate method‐specific advantages and shortcomings. While the field is moving forward at a rapid pace, there are still multiple challenges presented to be addressed, including sensitivity, labor extensiveness, tissue‐type dependence, and limited capacity to obtain detailed single‐cell information. No single method can currently address all these key parameters. In this review, available spatial transcriptomics methods are described and their applications as well as their strengths and weaknesses are discussed. Future developments are explored and where the field is heading to is deliberated upon.

中文翻译：

空间分辨转录组——用于组织探索的下一代工具。

空间分辨转录组学的最新进展极大地扩展了复杂多细胞生物系统的知识。近年来，该领域迅速扩展，并开发了多种新技术，旨在将基因表达数据与空间信息相结合。大量的方法显示了他们获取这些信息的方法的根本差异，从而展示了特定于方法的优点和缺点。虽然该领域正在快速发展，但仍有许多挑战需要解决，包括敏感性、劳动力广泛性、组织类型依赖性以及获取详细单细胞信息的能力有限。目前没有一种方法可以解决所有这些关键参数。在这次审查中，描述了可用的空间转录组学方法，并讨论了它们的应用以及它们的优点和缺点。探索了未来的发展，并审议了该领域的发展方向。

更新日期：2020-05-04

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