Spatial transcriptomics: Technologies, applications and experimental considerations

Genomics. 2023 Sep;115(5):110671. doi: 10.1016/j.ygeno.2023.110671. Epub 2023 Jun 21.

Abstract

The diverse cell types of an organ have a highly structured organization to enable their efficient and correct function. To fully appreciate gene functions in a given cell type, one needs to understand how much, when and where the gene is expressed. Classic bulk RNA sequencing and popular single cell sequencing destroy cell structural organization and fail to provide spatial information. However, the spatial location of gene expression or of the cell in a complex tissue provides key clues to comprehend how the neighboring genes or cells cross talk, transduce signals and work together as a team to complete the job. The functional requirement for the spatial content has been a driving force for rapid development of the spatial transcriptomics technologies in the past few years. Here, we present an overview of current spatial technologies with a special focus on the commercially available or currently being commercialized technologies, highlight their applications by category and discuss experimental considerations for a first spatial experiment.

Keywords: 10× Visium; BMKMANU S1000; CosMx SMI; GeoMx DSP; MERFISH; RNA sequencing; Spatial transcriptomics; Stereo-seq; Xienum.

Publication types

  • Review
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Gene Expression Profiling*
  • Transcriptome*