Analysis of MLK3-dependent gene expression in carcinogen-induced murine hepatocellular carcinoma
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 3 × DEN-PB treated Wild-type vs 3 × DEN-PB treated MLK3-KO vs 2 × Water Control Wild-type vs 2 × Water Control MLK3-KOGroups 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.
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 GSE233074_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 PRJNA974857 and SRA study SRP438842. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 4 as controls.
How we read this: 4 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.
- GSM7401188 Water Control Wild-type 1 Water Control Wild-type
- GSM7401189 Water Control Wild-type 2 Water Control Wild-type
- GSM7401190 Water Control MLK3-KO 1 Water Control MLK3-KO
- GSM7401191 Water Control MLK3-KO 2 Water Control MLK3-KO
- GSM7401192 DEN-PB treated Wild-type 1 DEN-PB treated Wild-type
- GSM7401193 DEN-PB treated Wild-type 2 DEN-PB treated Wild-type
- GSM7401194 DEN-PB treated Wild-type 3 DEN-PB treated Wild-type
- GSM7401195 DEN-PB treated MLK3-KO 1 DEN-PB treated MLK3-KO
- GSM7401196 DEN-PB treated MLK3-KO 2 DEN-PB treated MLK3-KO
- GSM7401197 DEN-PB treated MLK3-KO 3 DEN-PB treated MLK3-KO
- GSE302836 Loss of Hepatocyte PI3Ka Protects Mice from Hepatocellular Carcinoma in association with altered lipid metabolism gene expression 42 samples shares hepatocellular
- GSE291586 Bulk RNA-seq analysis of molecular characteristics induced by Aoah over-expression in MYC-Luc spontaneous hepatocellular carcinoma tumors 14 samples shares hepatocellular
- GSE298822 G9a Epigenetically Suppresses CXCL10 Expression and Inhibits Anti-tumor Immunity in Hepatocellular Carcinoma 8 samples shares hepatocellular
- GSE301912 Delineation of the oncogenic potential of AKT downstream targets in murine and human hepatocellular carcinoma 20 samples shares hepatocellular
- GSE249325 Development Of Pre-Clinical Murine Models For Fibrolamellar Hepatocellular Carcinoma 19 samples shares hepatocellular
- GSE271243 Berberine protects against hepatocellular carcinoma progression by regulating intrahepatic T cell heterogeneity 18 samples shares hepatocellular
- GSE271709 The Alb-R26Met liver cancer mouse model recapitulates molecular features and heterogeneity of hepatocellular carcinoma patients 18 samples shares hepatocellular
- GSE291163 Testing the contribution of FGL1 to the pathogenesis of metabolic dysfunction-associated steatotic liver disease and hepatocellular carcinoma 16 samples shares hepatocellular
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.