ArticleCell genomics2026
The Single-Cell Pediatric Cancer Atlas: Data portal and open-source tools for single-cell transcriptomics of pediatric tumors.
Article in Cell genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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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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
9 citing papers in PubMed.
- Clustered structural variant hotspots enable oncogenic addiction and plasticity in osteosarcoma.bioRxiv : the preprint server for biology · 2026Article
- Mining single-cell transcriptomic data reveals distinct T-cell population in pediatric B-ALL and AML at diagnosis.Blood advances · 2026Article
- New biological insights into osteosarcoma-lessons from single cell sequencing studies.Cancer metastasis reviews · 2026Review
- scGraphVerse: a modular workflow for single-cell gene network inference.Bioinformatics advances · 2026Article
- Identification of leukemia-enriched signature through the development of a comprehensive pediatric single-cell atlas.Nature communications · 2025Article
- ImmunoTar-integrative prioritization of cell surface targets for cancer immunotherapy.Bioinformatics (Oxford, England) · 2025Article
- Integration of single-nuclei and spatial transcriptomics to decipher tumor phenotype predictive of relapse-free survival in Wilms tumor.Frontiers in immunology · 2025Article
- IMMUNOTAR - Integrative prioritization of cell surface targets for cancer immunotherapy.bioRxiv : the preprint server for biology · 2024Article
- Sustainable Community-Wide Model to Enhance Cancer Data Usage and Utility.JCO clinical cancer informaticsArticle
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Single-Cell Pediatric Cancer Atlas (ScPCA) Portal is a resource for uniformly processed single-cell and single-nucleus RNA sequencing (RNA-seq) data and de-identified metadata from pediatric tumor samples. Originally comprising data from 10 projects funded by Alex's Lemonade Stand Foundation (ALSF), the Portal currently contains summarized gene expression data for over 700 samples across 55 cancer types from ALSF-funded and community-contributed datasets. Downloads include expression data as SingleCellExperiment or AnnData objects containing raw and normalized counts, principal-component analysis (PCA) and uniform manifold approximation and projection (UMAP) coordinates, automated cell-type annotations, and copy-number variation estimates, along with summary reports. Some samples have additional data from bulk RNA-seq, spatial transcriptomics, and/or feature barcoding (e.g., CITE-seq) included in the download. All data on the Portal were uniformly processed using scpca-nf, an efficient and open-source Nextflow workflow that uses alevin-fry to quantify gene expression. Comprehensive documentation, including file descriptions and a getting-started guide, are available online.
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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.