Public knowledge document

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

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.

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

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

  • 引用:Lim HJ, Wang Y, Buzdin A, Li X. (2025). A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options. BMC genomics. PMID 39833687 · PMC11744898 · DOI 10.1186/s12864-025-11235-3
  • 证据类型:REVIEW
  • 主题:rna-seq、spatial-omics
  • 被引次数(采集时):34
  • 原始记录:[Europe PMC](https://europepmc.org/article/MED/39833687)
  • 来源许可:[CC-BY](https://creativecommons.org/licenses/by/)
  • 作者摘要(按来源许可复用)

    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.

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