Role of metabolism in sorafenib-resistance hepatocellular carcinoma cellular model.
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 4 × p53-/-; Myc Hepatoblasts, control, 48h, vs 4 × p53-/-; Myc Hepatoblasts, drug, 48h, vs 4 × p53-/-; Myc Hepatoblasts, control, 7days, vs 4 × p53-/-; Myc Hepatoblasts, drug, 7days,Groups 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
- D-lactate and glycerol as potential biomarkers of sorafenib activity in hepatocellular carcinomaSignal transduction and targeted therapy · 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 GSE273892_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 PRJNA1143558 and SRA study SRP523948. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8438832 p53-/-; Myc Hepatoblasts, control, 48h, rep1 p53-/-; Myc Hepatoblast…
- GSM8438833 p53-/-; Myc Hepatoblasts, control, 48h, rep2 p53-/-; Myc Hepatoblast…
- GSM8438834 p53-/-; Myc Hepatoblasts, control, 48h, rep3 p53-/-; Myc Hepatoblast…
- GSM8438835 p53-/-; Myc Hepatoblasts, control, 48h, rep4 p53-/-; Myc Hepatoblast…
- GSM8438836 p53-/-; Myc Hepatoblasts, drug, 48h, rep1 p53-/-; Myc Hepatoblast…
- GSM8438837 p53-/-; Myc Hepatoblasts, drug, 48h, rep2 p53-/-; Myc Hepatoblast…
- GSM8438838 p53-/-; Myc Hepatoblasts, drug, 48h, rep3 p53-/-; Myc Hepatoblast…
- GSM8438839 p53-/-; Myc Hepatoblasts, drug, 48h, rep4 p53-/-; Myc Hepatoblast…
- GSM8438840 p53-/-; Myc Hepatoblasts, control, 7days, rep1 p53-/-; Myc Hepatoblast…
- GSM8438841 p53-/-; Myc Hepatoblasts, control, 7days, rep2 p53-/-; Myc Hepatoblast…
- GSM8438842 p53-/-; Myc Hepatoblasts, control, 7days, rep3 p53-/-; Myc Hepatoblast…
- GSM8438843 p53-/-; Myc Hepatoblasts, control, 7days, rep4 p53-/-; Myc Hepatoblast…
- GSM8438844 p53-/-; Myc Hepatoblasts, drug, 7days, rep1 p53-/-; Myc Hepatoblast…
- GSM8438845 p53-/-; Myc Hepatoblasts, drug, 7days, rep2 p53-/-; Myc Hepatoblast…
- GSM8438846 p53-/-; Myc Hepatoblasts, drug, 7days, rep3 p53-/-; Myc Hepatoblast…
- GSM8438847 p53-/-; Myc Hepatoblasts, drug, 7days, rep4 p53-/-; Myc Hepatoblast…
- GSE302836 Loss of Hepatocyte PI3Ka Protects Mice from Hepatocellular Carcinoma in association with altered lipid metabolism gene expression 42 samples shares hepatocellular, cellular
- GSE272309 Investigate the role of B cell in response to anti-PD1 + anti-CTLA in hepatocellular carcinoma 21 samples shares hepatocellular, cellular
- GSE308568 The origin of hepatocellular carcinoma is regulated by metabolic zonation [RNA-seq] 26 samples shares hepatocellular, cellular
- GSE309614 TDO2 promotes hepatocellular carcinoma by regulating tryptophan-kynurenine pathway 20 samples shares hepatocellular, cellular
- GSE301140 Dual Programmed Death Receptor-1 and Vascular Endothelial Growth Factor Receptor-2 Blockade Promotes Vascular Normalization and Enhances Antitumor Immune Responses in Hepatocellular Carcinoma 18 samples shares hepatocellular, cellular
- GSE271243 Berberine protects against hepatocellular carcinoma progression by regulating intrahepatic T cell heterogeneity 18 samples shares hepatocellular, cellular
- GSE230838 Loss of cisPTase function in the liver promotes a highly penetrant form of fatty liver disease that rapidly transitions to hepatocellular carcinoma [RNA-seq] 17 samples shares hepatocellular, cellular
- GSE280861 Combined blockade of CXCR4 and PD1 enhances intratumoral dendritic cell activation and immune responses against hepatocellular carcinoma 10 samples shares hepatocellular, cellular
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.