Analysis of heterogeneity within genetic murine models of HCC
RNA-seq (gene expression) · mouse · 19 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 19 samples: 13 × Mouse Liver Ctnnb1-tmtMmt, MYC, Tumou vs 3 × Mouse Liver Ctnnb1-tmtMmt, MYC, Control vs 3 × Mouse Liver Ctnnb1-tmtMmt, MYC, Control High AAVGroups 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
- Human-correlated genetic models identify precision therapy for liver cancerNature · 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 GSE276089_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1154667 and SRA study SRP529689. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 3 replicated groups read from 19 sample titles; they account for 19 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.
- GSM8490762 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 01 Mouse Liver Ctnnb1-tmtM…
- GSM8490763 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 02 Mouse Liver Ctnnb1-tmtM…
- GSM8490764 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 03 Mouse Liver Ctnnb1-tmtM…
- GSM8490765 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 04 Mouse Liver Ctnnb1-tmtM…
- GSM8490766 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 05 Mouse Liver Ctnnb1-tmtM…
- GSM8490767 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 06 Mouse Liver Ctnnb1-tmtM…
- GSM8490768 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 07 Mouse Liver Ctnnb1-tmtM…
- GSM8490769 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 08 Mouse Liver Ctnnb1-tmtM…
- GSM8490770 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 09 Mouse Liver Ctnnb1-tmtM…
- GSM8490771 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 10 Mouse Liver Ctnnb1-tmtM…
- GSM8490772 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 11 Mouse Liver Ctnnb1-tmtM…
- GSM8490773 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 12 Mouse Liver Ctnnb1-tmtM…
- GSM8490774 Mouse Liver Ctnnb1-tmtMmt, MYC, Tumour 13 Mouse Liver Ctnnb1-tmtM…
- GSM8490775 Mouse Liver Ctnnb1-tmtMmt, MYC, Control 01 Mouse Liver Ctnnb1-tmtM…
- GSM8490776 Mouse Liver Ctnnb1-tmtMmt, MYC, Control 02 Mouse Liver Ctnnb1-tmtM…
- GSM8490777 Mouse Liver Ctnnb1-tmtMmt, MYC, Control 03 Mouse Liver Ctnnb1-tmtM…
- GSM8490778 Mouse Liver Ctnnb1-tmtMmt, MYC, Control High AAV 01 Mouse Liver Ctnnb1-tmtM…
- GSM8490779 Mouse Liver Ctnnb1-tmtMmt, MYC, Control High AAV 02 Mouse Liver Ctnnb1-tmtM…
- GSM8490780 Mouse Liver Ctnnb1-tmtMmt, MYC, Control High AAV 03 Mouse Liver Ctnnb1-tmtM…
- GSE202618 Transcriptomic analysis of the diethylnitrosamine (DEN)-induced HCC mRNA from Pck1 KO and WT mice 12 samples shares hcc
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares heterogeneity
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares genetic
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares genetic
- GSE294535 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice[part5] 1000 samples shares genetic
- GSE294849 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part13] 1000 samples shares genetic
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares genetic
- GSE275728 Transcriptome analysis of pancreatic cancer cells with genetically modified Ptges or Ptger4 36 samples shares genetic
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.