HCA Data Explorer

Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors.

Updated July 4, 2023

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.

Muzlifah HaniffaInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK. m.a.haniffa@newcastle.ac.uk
Sarah A TeichmannWellcome Sanger Institute, Hinxton CB10 1SA, UK. st9@sanger.ac.uk
Menna ClatworthyCambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK. mrc38@medschl.cam.ac.uk
Sam BehjatiWellcome Sanger Institute, Hinxton CB10 1SA, UK. sb31@sanger.ac.uk
Matthew D Young1
Thomas J Mitchell1
Felipe A Vieira Braga1
Maxine G B Tran2
Benjamin J Stewart3
John R Ferdinand3
Grace Collord1
Rachel A Botting4
Dorin-Mirel Popescu4
Kevin W Loudon3
Roser Vento-Tormo1
Emily Stephenson4
Alex Cagan1
Sarah J Farndon1
Martin Del Castillo Velasco-Herrera1
Charlotte Guzzo1
Nathan Richoz3
Lira Mamanova1
Tevita Aho5
James N Armitage6
Antony C P Riddick6
Imran Mushtaq7
Stephen Farrell5
Dyanne Rampling7
James Nicholson5
Andrew Filby4
Johanna Burge5
Steven Lisgo8
Patrick H Maxwell9
Susan Lindsay8
Anne Y Warren5
Grant D Stewart5
Neil Sebire7
Nicholas Coleman5
Muzlifah Haniffa10
Sarah A Teichmann11
Menna Clatworthy12
Sam Behjati11
1Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
2UCL Division of Surgery and Interventional Science, Royal Free Hospital, London NW3 2PS, UK.
3Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge CB2 0QQ, UK.
4Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
5Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.
6Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK.
7Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.
8Human Developmental Biology Resource, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK.
9Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK.
10Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
11Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
12Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.
Wei Kheng Teh

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/d8ae869c-39c2-4cdd-b3fc-2d0d8f60e7b8
None
EGA Accessions:
EGAS00001002171, EGAS00001002486, EGAS00001002325, EGAS00001002553

Atlas

KidneyKidney v1.0

Analysis Portals

CZ CELLxGENECZ CELLxGENE

Project Label

Haniffa-Human-10x3pv2

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

2 anatomical entities

Organ Part

3 organ parts

Selected Cell Types

6 cell types

Disease Status (Specimen)

4 disease statuses

Disease Status (Donor)

5 disease statuses

Development Stage

4 development stages

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

raw_matrix

File Format

3 file formats

Cell Count Estimate

72.5k

Donor Count

11
mtx1 file(s)tsv2 file(s)xlsx1 file(s)