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We intend to use single cell transcriptome analysis to explore the heterogenity of different cell types within the kidney.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001004304 Illumina HiSeq 2500 1290
EGAD00001007854 Illumina HiSeq 4000 Illumina NovaSeq 6000 8
EGAD00001008345 Illumina HiSeq 2500 Illumina HiSeq 4000 Illumina MiSeq Illumina NovaSeq 6000 32
EGAD00001009005 HiSeq X Ten Illumina HiSeq 2500 Illumina HiSeq 4000 Illumina NovaSeq 6000 15
Publications Citations
Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors.
Science 361: 2018 594-599
Single cell census of human kidney organoids shows reproducibility and diminished off-target cells after transplantation.
Nat Commun 10: 2019 5462
Mapping the immune environment in clear cell renal carcinoma by single-cell genomics.
Commun Biol 4: 2021 122
Single cell derived mRNA signals across human kidney tumors.
Nat Commun 12: 2021 3896
The Extracellular Matrix Environment of Clear Cell Renal Cell Carcinoma Determines Cancer Associated Fibroblast Growth.
Cancers (Basel) 13: 2021 5873
Kidney organoids recapitulate human basement membrane assembly in health and disease.
Elife 11: 2022 e73486
Single-cell transcriptomics reveals a distinct developmental state of KMT2A-rearranged infant B-cell acute lymphoblastic leukemia.
Nat Med 28: 2022 743-751
Genetic association and single-cell transcriptome analyses reveal distinct features connecting autoimmunity with cancers.
iScience 25: 2022 104631
A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma.
Nat Commun 13: 2022 5747
New insights into fibrotic signaling in renal cell carcinoma.
Front Cell Dev Biol 11: 2023 1056964