Combination LIGHT overexpression and checkpoint blockade disrupts the tumor immune environment eradicating colorectal liver metastases
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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
- Combination LIGHT overexpression and checkpoint blockade disrupts the tumor immune environment impacting colorectal liver metastasesScience advances · 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 GSE252597_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 PRJNA1061481 and SRA study SRP482104. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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.
- GSM8003720 Mouse 1, scRNAseq, Gene expression
- GSM8003721 Mouse 2, scRNAseq, Gene expression
- GSM8003722 Mouse 3, scRNAseq, Gene expression
- GSM8003723 Mouse 4, scRNAseq, Gene expression
- GSM8003724 Mouse 5, scRNAseq, Gene expression
- GSM8003725 Mouse 6, scRNAseq, Gene expression
- GSM8003726 Mouse 7, scRNAseq, Gene expression
- GSM8003727 Mouse 8, scRNAseq, Gene expression
- GSM8003728 Mouse 9, scRNAseq, Gene expression
- GSM8003729 Mouse 10, scRNAseq, Gene expression
- GSM8003730 Mouse 11, scRNAseq, Gene expression
- GSM8003731 Mouse 12, scRNAseq, Gene expression
- GSM8003732 Mouse 1, scRNAseq, TCR
- GSM8003733 Mouse 2, scRNAseq, TCR
- GSM8003734 Mouse 3, scRNAseq, TCR
- GSM8003735 Mouse 4, scRNAseq, TCR
- GSM8003736 Mouse 5, scRNAseq, TCR
- GSM8003737 Mouse 6, scRNAseq, TCR
- GSM8003738 Mouse 7, scRNAseq, TCR
- GSM8003739 Mouse 8, scRNAseq, TCR
- GSM8003740 Mouse 9, scRNAseq, TCR
- GSM8003741 Mouse 10, scRNAseq, TCR
- GSM8003742 Mouse 11, scRNAseq, TCR
- GSM8003743 Mouse 12, scRNAseq, TCR
- GSE276180 Single-cell temporal landscape of tumor microenvironment of lung cancer and lung metastases 37 samples shares environment, metastases
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares combination, checkpoint
- GSE310501 Mesothelioma location influences the tumour microenvironment and immune checkpoint therapy response in preclinical models 31 samples shares environment, checkpoint
- GSE317949 Rational design of immune gene therapy combinations via in vivo CRISPR activation screening of tumor microenvironment modulators [APCM_BulkRNASeq_OT1] 15 samples shares combination, environment
- GSE295477 Wumei Wan Remodels the Tumor Immune Microenvironment via the IDO1-KYN-AHR Axis in AOM/DSS-Induced Colorectal Cancer Model. 15 samples shares environment, colorectal
- GSE255514 Rational design of immune gene therapy combinations via in vivo CRISPR activation screening of tumor microenvironment modulators [Bulk RNA-seq] 15 samples shares combination, environment
- GSE298273 Tumor-derived RAC1A159V mutation promotes an immunosuppressive tumor microenvironment that represses response to immune checkpoint inhibitor [RNA-Seq] 12 samples shares environment, checkpoint
- GSE337208 scRNA seq. of PDAC models treated with Kras inhibitors in combination with checkpoint immunotherapy 9 samples shares combination, checkpoint
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.