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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.
None:
The arrangement patterns and spatial distribution features of cells within tissues are key regulators of drug actions and cellular responses; however, the specific spatial microenvironment that mediates drug actions and efficacy remains to be elucidated. Here, we introduce SDMap (http://bio-bigdata.hrbmu.edu.cn/SDMap/), a database to dissect the spatial distributions of drug-associated cells and spatial contexts that contribute to drug actions. SDMap establishes connections between 5 490 079 spatial locations (spots/cells) derived from 989 slices of 35 human tissues (including disease-state slices) and 538 419 instances across 33 149 drugs. It also offers 10 user-friendly tools for retrieving and analyzing: (i) associations between drug-associated instances and spatial spots/cells, niches, or cell types; (ii) the influence of spatial drug target activity on drug actions; (iii) drug-associated instances exhibiting highly variable spatial perturbation effects; (iv) the perturbation effects of drug dosage and duration on the spatial microenvironment; (v) spatial differentiation trajectories of drug-perturbed cells; (vi) the impact of spatial cellular functional activity on drug perturbation; (vii) spatial perturbation effect maps of drug combinations; and (viii) 3D maps of drug perturbation effects within spatial tissue contexts. SDMap is anticipated to yield critical insights into how spatial heterogeneity influences drug actions, and serve as a comprehensive database for identifying spatially resolved precision therapy targets and elucidating drug-associated mechanisms.
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