Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma [scRNA-seq]
Single-cell RNA-seq · human · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 10 × Hepatoblastoma sampleGroups 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
- Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastomaJournal of hepatology · 2025
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 GSE261957_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 PRJNA1089625 and SRA study SRP496487. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 1 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8155159 Hepatoblastoma sample 1 Hepatoblastoma sample
- GSM8155160 Hepatoblastoma sample 2 Hepatoblastoma sample
- GSM8155161 Hepatoblastoma sample 3 Hepatoblastoma sample
- GSM8155162 Hepatoblastoma sample 4 Hepatoblastoma sample
- GSM8155163 Hepatoblastoma sample 5 Hepatoblastoma sample
- GSM8155164 Hepatoblastoma sample 6 Hepatoblastoma sample
- GSM8155165 Hepatoblastoma sample 7 Hepatoblastoma sample
- GSM8155166 Hepatoblastoma sample 8 Hepatoblastoma sample
- GSM8155167 Hepatoblastoma sample 9 Hepatoblastoma sample
- GSM8155168 Hepatoblastoma sample 10 Hepatoblastoma sample
- GSE261956 Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma [RNA-seq] 52 samples shares wnt-mdk-driven, hepatoblastoma, continuous, multiomic, uncovers, spectrum, evasion
- GSE283207 Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma 89 samples shares wnt-mdk-driven, hepatoblastoma, continuous, multiomic, uncovers, spectrum, evasion
- GSE261958 Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma [Spatial Transcriptomics] 22 samples shares wnt-mdk-driven, hepatoblastoma, continuous, multiomic, uncovers, spectrum, evasion
- GSE263521 Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in Desmoplastic Small Round Cell Tumors [scRNA-Seq] 11 samples shares multiomic, scrna-seq
- GSE314709 Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis 8 samples shares multiomic, uncovers
- GSE307326 Continuous NRTI-based antiretroviral therapy induces progressive senescence-like reprogramming of alveolar macrophages [snMultiomics] 32 samples shares continuous, multiomic
- GSE279452 Multiomics Analyses Unveil Immune Landscape in Pediatric and Adult Sepsis [scRNA_seq] 266 samples shares multiomic
- GSE272626 ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers (postmortem spinal cord) 266 samples shares multiomic
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.