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Spatial Transcriptomics

Definition
AI-generated

Spatial transcriptomics maps gene expression onto tissue architecture by retaining positional information—via array capture, in situ sequencing, multiplexed imaging, or microscopy-linked sequencing—so cells or spots are analyzed in their native neighborhood context alongside histology or protein markers.

Topics
Single-cell analysis
Synonyms
Spatial omics (broader, when multiple modalities are spatially resolved)
Related
Human Cell Atlas Multi-Omic Single-Cell Integration RNA Sequencing (RNA-seq)

Why it matters in GWAS

Noncoding variants often act in tissue-specific niches; spatial data link GWAS-implicated programs to microanatomy (e.g. tumor–immune interfaces, layered cortex), complementing dissociated single-cell atlases.

Example usage

"We asked whether the asthma-associated program colocalized with airway epithelial stripes in spatial transcriptomics of lung sections."

Human Cell Atlas Multi-Omic Single-Cell Integration RNA Sequencing (RNA-seq) Single-Cell GWAS Integration Single-Cell Sequencing
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Bressan D, Battistoni G, Hannon GJ. (2023). The dawn of spatial omics. Science.
  • Dimitrov D, Schrod S, Rohbeck M, et al. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00920-4
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