ArticleScience advances2025
SOAR elucidates biological insights and empowers drug discovery through spatial transcriptomics.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- Engineering human multi-organ tissue chip niches for drug absorption, distribution, metabolism, excretion and toxicity prediction.Nature biomedical engineering · 2026Review
- Article
- Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architecture.bioRxiv : the preprint server for biology · 2026Article
- Computational analysis in spatial transcriptomics: methods and perspectives.Briefings in bioinformatics · 2026Review
- The neuro-vascular-immune triad: the interactive network in the tumor microenvironment.Cell communication and signaling : CCS · 2026Review
- DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments.Nucleic acids research · 2026Article
- Decoding type 5 diabetes using spatial omics: microarchitectural and molecular mechanisms of malnutrition-associated diabetes.Frontiers in endocrinology · 2026Review
- SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer.Molecular biology and evolution · 2025Article
- HISSTA: a human in situ single-cell transcriptome atlas.Bioinformatics (Oxford, England) · 2025Article
- Pairpot: a database with real-time lasso-based analysis tailored for paired single-cell and spatial transcriptomics.Nucleic acids research · 2025Article
- Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system.Learning health systems · 2024Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial transcriptomics enables multiplex profiling of gene cellular expression and location within the tissue context. Although large volumes of spatial transcriptomics data have been generated, the lack of systematic curation and analysis limits biological discovery. We present Spatial transcriptOmics Analysis Resource (SOAR), a comprehensive spatial transcriptomics platform with 3461 uniformly processed samples across 13 species, 42 tissue types, and 19 different spatial transcriptomics technologies. Using SOAR, we found that
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.