ArticleNucleic acids research2024
SCAR: Single-cell and Spatially-resolved Cancer Resources.
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 19 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 27 citations in OpenAlex.
- Pan-cancer multi-omics analysis identifies TOMM22 as an oncogenic driver and therapeutic target in LIHC via ferroptosis regulation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment.Cell reports. Medicine · 2026Article
- Distinct cMET inhibitors uncover pharmacological heterogeneity in SHH medulloblastoma cell lines.Discover oncology · 2026Article
- Elevated PXDC1 expression linked to poor prognosis and abnormalities in PD-L1 regulation and NK cell function in colorectal cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- huSA: a comprehensive database for multi-dimensional resolution of bulk, single cell and spatial transcription profiles in skin diseases.Database : the journal of biological databases and curation · 2026Article
- Extracellular granzyme K enhances PD-L1 transcription and stability via F2RL1 activation to facilitate tumor immune evasion in lung adenocarcinoma.Journal for immunotherapy of cancer · 2026Article
- DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments.Nucleic acids research · 2026Article
- ZIP1-dependent lymphatic adaptations facilitate lymph node metastasis of pancreatic cancer.International journal of biological sciences · 2026Article
- FOXP2/SOS1/AKT negative feedback loop inhibits cell proliferation in KRAS-mutant colorectal cancer.Apoptosis : an international journal on programmed cell death · 2025Article
- scValue: value-based subsampling of large-scale single-cell transcriptomic data for machine and deep learning tasks.Briefings in bioinformatics · 2025Article
- HISSTA: a human in situ single-cell transcriptome atlas.Bioinformatics (Oxford, England) · 2025Article
- CHI3L1: a key driver in gastritis-to-cancer transformation.Journal of translational medicine · 2025Article
- scCancerExplorer: a comprehensive database for interactively exploring single-cell multi-omics data of human pan-cancer.Nucleic acids research · 2025Article
- Network pharmacology, bioinformatics and in vitro/in vivo validation elucidate the anti-lung cancer activities and potential targets of Rhoifolin.Frontiers in pharmacology · 2025Article
- High levels of EPHB2 expression predict a poor prognosis and promote tumor progression in endometrial cancer.Open life sciences · 2025Article
- Intestinal organoids in inflammatory bowel disease: advances, applications, and future directions.Frontiers in cell and developmental biology · 2025Review
- Review
- The 2024 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2024Article
- SCAN: Spatiotemporal Cloud Atlas for Neural cells.Nucleic acids research · 2024Article
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 1 country.
Funding
Abstract
Advances in sequencing and imaging technologies offer a unique opportunity to unravel cell heterogeneity and develop new immunotherapy strategies for cancer research. There is an urgent need for a resource that effectively integrates a vast amount of transcriptomic profiling data to comprehensively explore cancer tissue heterogeneity and the tumor microenvironment. In this context, we developed the Single-cell and Spatially-resolved Cancer Resources (SCAR) database, a combined tumor spatial and single-cell transcriptomic platform, which is freely accessible at http://8.142.154.29/SCAR2023 or http://scaratlas.com. SCAR contains spatial transcriptomic data from 21 tumor tissues and single-cell transcriptomic data from 11 301 352 cells encompassing 395 cancer subtypes and covering a wide variety of tissues, organoids, and cell lines. This resource offers diverse functional modules to address key cancer research questions at multiple levels, including the screening of tumor cell types, metabolic features, cell communication and gene expression patterns within the tumor microenvironment. Moreover, SCAR enables the analysis of biomarker expression patterns and cell developmental trajectories. SCAR also provides a comprehensive analysis of multi-dimensional datasets based on 34 state-of-the-art omics techniques, serving as an essential tool for in-depth mining and understanding of cell heterogeneity and spatial location. The implications of this resource extend to both cancer biology research and cancer immunotherapy development.
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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.