ArticleNucleic acids research2024
scPlantDB: a comprehensive database for exploring cell types and markers of plant cell atlases.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Drought and salinity stress remodel Asian rice (Oryza sativa) leaf development through cell-type-specific regulatory programs.The New phytologist · 2026Article
- Signaling by a tyrosine-sulfated peptide balances growth and osmotic stress response in rice.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The combination of morphogenic regulators BABY BOOM and GRF-GIF improves maize transformation efficiency and promotes leaf regeneration.The New phytologist · 2026Article
- scPlantAnnotate: an accurate and robust transformer-based model for plant cell type annotation.Journal of advanced research · 2026Article
- Empirical Estimation of Ambient Contamination in Combinatorial Single-Cell Methods Using Multi-Reference Mapping.bioRxiv : the preprint server for biology · 2026Article
- Advances in single-cell and spatial multi-omics for plant development and stress responses.Plant diversity · 2026Review
- Integrating single-cell omic techniques to resolve the spatio-temporal complexity of arbuscular mycorrhizal symbiosis.Journal of experimental botany · 2026Review
- Single-Cell and Spatial Omics Technologies in Rice Abiotic Stress Biology: A Methodological Review.International journal of molecular sciences · 2026Review
- Single-Nucleus Transcriptome Analysis Provides New Insights Into B Chromosome Elimination in Sorghum.Plant biotechnology journal · 2026Article
- Single-cell RNA-sequencing profiles reveal the developmental landscape of hawthorn leaves.BMC plant biology · 2026Article
- Cell-specific dedifferentiation inbioRxiv : the preprint server for biology · 2026Article
- scMarkerGene: an interpretable neural network framework for cell-type-specific marker gene discovery.Briefings in bioinformatics · 2026Article
- Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development.Plant biotechnology journal · 2026Article
- Exploring specialized metabolic pathways in medicinal plants with single-cell and spatial omics.Acta pharmaceutica Sinica. B · 2026Review
- Transcription Profiling of Potato Leaves in Response to Heat Stress at Single-Cell Resolution.Plant biotechnology journal · 2026Article
- PPSR1 Protein Functions as an Important Regulator to Enhance Plant Growth Performance Under N, P, and K Deficient Stress Conditions.Plant biotechnology journal · 2026Article
- Cell-Type-Specific and Variety-Specific Responses to Salt Stress in Wheat Root Revealed by Single-Cell Transcriptomics.Plant biotechnology journal · 2026Article
- Multi-omics Analysis Revealed the Diagnostic and Therapeutic Value of Immunogenic Cell Death-derived SCN5A in Hepatocellular Carcinoma.Molecular biotechnology · 2026Article
- Metabolomic and Single-Cell Transcriptomic Analyses Shed Light on Secondary Metabolite Profiling and Potential Developmental Dynamics of Glandular Trichomes in Artemisia argyi.Plant biotechnology journal · 2026Article
- The study of plasmodesmal biology using proximity labeling technologies.Journal of experimental botany · 2026Review
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Authors and funding
6 authors.
Funding
Abstract
Recent advancements in single-cell RNA sequencing (scRNA-seq) technology have enabled the comprehensive profiling of gene expression patterns at the single-cell level, offering unprecedented insights into cellular diversity and heterogeneity within plant tissues. In this study, we present a systematic approach to construct a plant single-cell database, scPlantDB, which is publicly available at https://biobigdata.nju.edu.cn/scplantdb. We integrated single-cell transcriptomic profiles from 67 high-quality datasets across 17 plant species, comprising approximately 2.5 million cells. The data underwent rigorous collection, manual curation, strict quality control and standardized processing from public databases. scPlantDB offers interactive visualization of gene expression at the single-cell level, facilitating the exploration of both single-dataset and multiple-dataset analyses. It enables systematic comparison and functional annotation of markers across diverse cell types and species while providing tools to identify and compare cell types based on these markers. In summary, scPlantDB serves as a comprehensive database for investigating cell types and markers within plant cell atlases. It is a valuable resource for the plant research community.
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