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SDMap: a database for Spatial Drug perturbation Map

SDMap collected large-scale spatial transcriptomics (ST) and drug perturbation data, and establish the association between drug perturbation and cells/spots within spatial tissues. Currently, SDMap contains:

  • 5,490,079 spatial locations (spots/cells) from 989 slices of human
  • 538,419 instances (i.e. 538,419 drug-concentration-time combination) for 33,149 drugs under varying concentrations, treatment durations and dosages
  • associations among 5,490,079 spatial locations and 538,419 treatment instances for the perturbation of 33,149 drugs
  • the spatial distribution of drug target activities and its correlation with the perturbation effects of drugs
  • the correlation between spatial cell identity and drug perturbation
  • the distribution of drug perturbation cells along the spatial trajectory
  • the perturbation effects of drug dosage and duration on the spatial microenvironment
  • the impact of spatial cellular functional activity on drug perturbation
  • spatial perturbation effect map of drug combination
  • 3D distribution of drug perturbation effects in spatial tissue

SDMap will provide important insights for investigating the influence of spatial heterogeneity on the action of drugs, and serve as a comprehensive database for discovery of spatial-dimensional precision therapy targets and dissecting drug-related mechanisms.

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Spatial Deconvolution

explore correlation between spatial cell identity and drug perturbation effects

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SVD

explore drugs with highly variable perturbation effects

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SDT

explore spatial activity of target genes and drug perturbation

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Spatial Pseudotime

dissect perturbing effects of drugs along spatial trajectory

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Drug combination

simulate spatial perturbation effects of combination drugs

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3D reconstruction

analyze drug perturbation effects at spatial single-cell resolution

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Dosage 3D

Visualize 3D model of dosage-dependent spatial perturbation across drug concentrations

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Spatial Drug-CellStat

quantify cancer-related functional activities in spatial transcriptomic contexts

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Spatial single-cell

analyze drug perturbation effects at spatial single-cell resolution

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Slice

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Spatial Spot/Cell

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Drug

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Instance

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Tissue

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Disease/Disease subtypes