Nucleic Acids Research · 2022 · 60 citations · 46 references
EngineeringPathologyMultiomicsTranscriptomics TechnologyMultifaceted CharacterizationTumor BiologyCurated RepositoryTumor HeterogeneitySingle Cell SequencingCancer Cell BiologyMolecular DiagnosticsMolecular OncologyCell MarkersBiological DatabaseSingle-cell GenomicsOmicsCellular DiversitySingle-cell AnalysisBioinformaticsCell BiologyFunctional GenomicsBiologyHuman CellCell TaxonomyComputational BiologySingle-cell BiologySystems BiologyMedicineCell DevelopmentCell Detection
Single-cell studies have delineated cellular diversity and uncovered increasing numbers of previously uncharacterized cell types in complex tissues. Thus, synthesizing growing knowledge of cellular characteristics is critical for dissecting cellular heterogeneity, developmental processes and tumorigenesis at single-cell resolution. Here, we present Cell Taxonomy (https://ngdc.cncb.ac.cn/celltaxonomy), a comprehensive and curated repository of cell types and associated cell markers encompassing a wide range of species, tissues and conditions. Combined with literature curation and data integration, the current version of Cell Taxonomy establishes a well-structured taxonomy for 3,143 cell types and houses a comprehensive collection of 26,613 associated cell markers in 257 conditions and 387 tissues across 34 species. Based on 4,299 publications and single-cell transcriptomic profiles of ∼3.5 million cells, Cell Taxonomy features multifaceted characterization for cell types and cell markers, involving quality assessment of cell markers and cell clusters, cross-species comparison, cell composition of tissues and cellular similarity based on markers. Taken together, Cell Taxonomy represents a fundamentally useful reference to systematically and accurately characterize cell types and thus lays an important foundation for deeply understanding and exploring cellular biology in diverse species.
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Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16K citations · Full text
Tissue-based map of the human proteome
Mathias Uhlén, Linn Fagerberg, Björn M. Hallström et al. · Science · 2015 · 15.3K citations · Full text
Integrated analysis of multimodal single-cell data
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Integrating single-cell transcriptomic data across different conditions, technologies, and species
Andrew Butler, Paul Hoffman, Peter Smibert et al. · Nature Biotechnology · 2018 · 14.1K citations · Full text
Engineering, Genetics, Multiomics +17