ArticleScience (New York, N.Y.)2018
Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors.
Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 481 papers.
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Who cites it
481 citing papers in PubMed.
- Article
- Characterizing intra- and intertumor heterogeneity in ovarian high-grade serous carcinoma subtypes using single-cell and spatial transcriptomics.Genome research · 2026Article
- The population frequency of predicted pathogenic genetic variants in commonly affected CAKUT genes in the general population.Pediatric nephrology (Berlin, Germany) · 2026Article
- A Method for Imputing scRNA-seq Data Based on Mobile Graph Convolutional Generative Adversarial Networks.Biochemical genetics · 2026Article
- Urinary tract infections in children.Nature reviews. Urology · 2026Review
- Fusion-driven oncogenic programs shape the immune landscape in translocation renal cell carcinoma.Nature communications · 2026Article
- scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.Interdisciplinary sciences, computational life sciences · 2026Article
- Single-nucleus RNA sequencing reveals transcriptional heterogeneity in the blastema of favorable-histology Wilms tumor.JCI insight · 2026Article
- 3D co-culture model of tumor spheroid and endothelial cells unveils ccRCC aberrant vasculature and distinct sensitivity to targeted treatments.Angiogenesis · 2026Article
- Article
- Sulfonated Ionic Covalent Organic Frameworks With Dual-State Activation for Synergistic Photodynamic-Ferroptosis Therapy.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Urinary proteome and metabolome uncover tumor microenvironment and cellular metabolism changes of renal clear cell carcinoma.British journal of cancer · 2026Article
- Multi-omics and machine learning integration of diverse cell death pathways optimize risk stratification and inform drug therapy in Wilms tumor.Discover oncology · 2026Article
- Interpretable Multi-task Analysis of Single-Cell RNA-seq Data Through Topological Structure Preservation and Data Denoising.Interdisciplinary sciences, computational life sciences · 2026Article
- scIMGCN: an Automatic Single-Cell Type Annotation Method Based on Interpretable Graph Convolutional Network.Interdisciplinary sciences, computational life sciences · 2026Article
- Pan-cancer single-cell atlases of mouse and human tumor-associated dendritic cells.Nature communications · 2026Article
- scZGA: a novel model based on ZINB distribution and graph attention for scRNA-seq data clustering.BMC bioinformatics · 2026Article
- Advances in targeted therapies for pediatric tumors.Acta pharmacologica Sinica · 2026Article
- Multi-Omics and Machine Learning-Uncovered FLT1-Mediated Epithelial-Endothelial Crosstalk in Cellular Senescence Driving Clear Cell Renal Cell Carcinoma Malignancy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Single cell transcriptional evolution of myeloid leukemia of Down syndrome.Nature communications · 2026Article
421 more citing papers are in PubMed but not listed here.
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Authors and funding
38 authors.
Funding
Abstract
Messenger RNA encodes cellular function and phenotype. In the context of human cancer, it defines the identities of malignant cells and the diversity of tumor tissue. We studied 72,501 single-cell transcriptomes of human renal tumors and normal tissue from fetal, pediatric, and adult kidneys. We matched childhood Wilms tumor with specific fetal cell types, thus providing evidence for the hypothesis that Wilms tumor cells are aberrant fetal cells. In adult renal cell carcinoma, we identified a canonical cancer transcriptome that matched a little-known subtype of proximal convoluted tubular cell. Analyses of the tumor composition defined cancer-associated normal cells and delineated a complex vascular endothelial growth factor (VEGF) signaling circuit. Our findings reveal the precise cellular identities and compositions of human kidney tumors.
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