Molecular characterization of Wilms' Tumor: insights from single nucleus analystics on Wilms' Tumor development and oncogenesis
Single-nucleus RNA-seq · human · 14 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Wilms tumourThis series is part of our curated briefing on it.
- Samples
- 14 samples: 9 × T vs 5 × KGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Single-nucleus RNA sequencing reveals transcriptional heterogeneity in the blastema of favorable-histology Wilms tumorJCI insight · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE273662_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1142582 and SRA study SRP523415. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 2 replicated groups read from 14 sample titles; they account for 14 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8434760 T5 T
- GSM8434761 K5 K
- GSM8434762 K4 K
- GSM8434763 T4 T
- GSM8434764 T1 T
- GSM8434765 K1 K
- GSM8434766 K2 K
- GSM8434767 T2 T
- GSM8434768 K3 K
- GSM8434769 T3 T
- GSM8434770 T8 T
- GSM8434771 T9 T
- GSM8434772 T7 T
- GSM8434773 T6 T
- GSE200256 Single nuclear RNASeq Analysis of Anaplastic and Favourable Histology Hu_Wilms Tumor 40 samples same disease briefing · shares wilms
- GSE270330 Proteasome inhibition sensitizes anaplastic Wilms tumor to actinomycin D 36 samples same disease briefing · shares wilms
- GSE246479 Modeling high-risk blastemal and metastatic Wilms tumors by reprogramming WiT49 cells 6 samples same disease briefing · shares wilms
- GSE298590 The transcriptomic data of the Wilms tumor cell line 6 samples same disease briefing · shares wilms
- GSE296618 Transcriptional profiling of Wilms tumor via single nuclei RNA sequencing 3 samples same disease briefing · shares wilms
- GSE303967 DNA methylation and transcriptomic profiles of Wilms tumour reveal new deregulated genes and epigenetic processes relevant for tumour stratification and management 45 samples same disease briefing · shares wilms
- GSE298483 Induction of a renal developmental cell state is associated with chemotherapy resistance in favorable-histology Wilms tumor 62 samples same disease briefing · shares wilms
- GSE25965 Transduction signaling signature of Wilms tumor revealed by parallel analysis of kidney differentiation 78 samples same disease briefing · shares wilms
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.