A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options

作者：Hyun Ju Lim, Ye Wang, Anton Buzdin, Xinmin Li · 发表于：BMC Genomics · 年份：2025 · DOI：10.1186/s12864-025-11235-3 · 被引用次数：67 · 研究领域：Single-cell and spatial transcriptomics、Molecular Biology Techniques and Applications、Gene expression and cancer classification

Spatial transcriptomics technology enables the mapping of gene expression within tissues, allowing researchers to visualize the spatial distribution of RNA molecules and gain insights into cellular organization, interactions, and functions in their native environments. A variety of spatial technologies are now commercially available, each offering distinct technical parameters such as cellular resolution, detection sensitivity, gene coverage, and throughput. This wide range of options can make it challenges or create confusion for researchers to select the most appropriate platform for their specific research objectives. In this paper, we will analyze and compare seven major commercially available spatial platforms to guide researchers in choosing the most suitable option for their needs.