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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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SDMap: a comprehensive database of spatial drug perturbation maps.

Feng Li1, Zhe Chen1, Yifang Zhang1

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin 150081, China.

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|October 22, 2025
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Summary
This summary is machine-generated.

SDMap is a new database that maps drug effects within tissue microenvironments. It reveals how cell arrangement and spatial context influence drug actions, aiding precision therapy target identification.

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Area of Science:

  • Spatial Biology
  • Pharmacology
  • Bioinformatics

Background:

  • Cellular arrangement and spatial distribution are crucial for drug efficacy.
  • The precise spatial microenvironment mediating drug actions is not fully understood.

Purpose of the Study:

  • To introduce SDMap, a database for analyzing spatial distributions of drug-associated cells and contexts.
  • To elucidate the influence of spatial heterogeneity on drug actions and mechanisms.

Main Methods:

  • Developed SDMap, connecting spatial locations from human tissues with drug instances.
  • Integrated 10 analytical tools for exploring drug-cell associations, spatial targets, and perturbation effects.
  • Utilized data from 989 tissue slices across 35 human tissues and 33,149 drugs.

Main Results:

  • SDMap links 5.49 million spatial locations to 538,419 drug instances.
  • The database facilitates analysis of drug effects on spatial niches, cell types, and tissue microenvironments.
  • It enables visualization of drug perturbation effects in 2D and 3D spatial contexts.

Conclusions:

  • SDMap provides critical insights into spatial heterogeneity's role in drug actions.
  • It serves as a resource for identifying spatially resolved precision therapy targets.
  • The database aids in elucidating drug-associated mechanisms within their spatial context.