Table 1 Features of current methods for capturing spatial gene expression.
From: From whole-mount to single-cell spatial assessment of gene expression in 3D
Methodology | Coverage | Number of genes | Number of cellsa | Spatial resolution |
|---|---|---|---|---|
In situ hybridisation22 | Targeted | 3 | Low | Tissue |
RNAscope29 | Targeted | 12 | Low | Cellular |
ClampFish30 | Targeted | 3 | Low | Subcellular |
smFISH33 | Targeted | 3 | Low | Subcellular |
osmFISH32 | Targeted | 1–33+ | Low | Subcellular |
MERFISH35 | Targeted | 10,000 | Medium | Subcellular |
DNA microscopy39 | Targeted | Â | Low | Cellular |
seqFISH+40 | Targeted | 10,000 | High | Subcellular |
DistMap50 | Targeted | 8000+ | High | Cellular |
STARMap51 | Targeted | 1020+ | High | Cellular |
Tomo-seq52 | Transcriptome-wide | Whole transcriptome | High | Cellular |
Geo-seq56 | Transcriptome-wide | Whole transcriptome | High | Cellular |
Spatial transcriptomics/10X Visium59 | Transcriptome-wide | Whole transcriptome | Medium | 100 µm/55 µm |
Slide-seq61 | Transcriptome-wide | Whole transcriptome | Medium | 10 µm |
HDST63 | Transcriptome-wide | Whole transcriptome | High | 2 µm |
novoSpaRc69 | Transcriptome-wide | Whole transcriptome | High | Cellular |
NASC-seq72 | Transcriptome-wide | Whole transcriptome | High | Cellular |
