Combining p53 mRNA nanotherapy with immune checkpoint blockade reprograms the immune microenvironment for effective cancer therapy
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 3 × control_nanotherapy, vs 3 × p53_nanotherapy, vs 3 × PD1, vs 2 × combination,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
- Inhibiting B cells enhances the efficacy of STING agonism or immune checkpoint blockade in hepatocellular carcinomaNature communications · 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 GSE301138_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 PRJNA1284182 and SRA study SRP596279. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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.
- GSM9076187 control_nanotherapy, rep 1 control_nanotherapy,
- GSM9076188 control_nanotherapy, rep 2 control_nanotherapy,
- GSM9076189 control_nanotherapy, rep 3 control_nanotherapy,
- GSM9076190 p53_nanotherapy, rep 1 p53_nanotherapy,
- GSM9076191 p53_nanotherapy, rep 2 p53_nanotherapy,
- GSM9076192 p53_nanotherapy, rep 3 p53_nanotherapy,
- GSM9076193 PD1, rep 1 PD1,
- GSM9076194 PD1, rep 2 PD1,
- GSM9076195 PD1, rep 3 PD1,
- GSM9076196 combination, rep 1 combination,
- GSM9076197 combination, rep 2 combination,
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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.