ArticleNucleic acids research2026
scGeneBank: cross-species screening of functional gene sets at single-cell resolution.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Computational modelling of cell identity.The Biochemical journal · 2026Review
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12 authors.
Funding
Abstract
Single-cell transcriptomics is reshaping the study of cellular physiology and pathology by revealing fine-grained cell functions and states. Interpreting these signals across cell types, organs, and species benefits from curated gene sets and tools for comparative analysis. Here, we introduce scGeneBank (http://8.142.154.29/scGeneBank or http://www.genebank.info), a database and analysis portal for gene set-driven exploration at single-cell resolution. The resource integrates 1134 carefully selected single-cell transcriptome datasets, totaling 104.9 million cells from 136 species and covering 430 organs and 1070 anatomical areas. It supports interactive analysis and visualization of 597 expert-curated gene sets organized into 28 biologically meaningful categories. Eight linked modules address common use cases: GeneSets (curated gene-set navigation), Species (dataset-level exploration), EvoScreening (cross-species comparisons within organs), OrganScreening (gene-set activity analysis across 35 human organs at cell-type resolution), StemAtlas (stemness profiling across species and organs), AgingScope (aging-related pathway analysis), PathoView (disease-associated gene expression analysis), and DeathMap (cell-death pathway activity visualization). Together, these modules provide a unified framework for comparing gene-set activity across species, organs, and cell types, enabling systematic studies of development, evolution, aging, disease, and cell death.
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