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Combination with oxaliplatin improves abscopal effect of oncolytic virotherapy through reorganization of intratumoral macrophages

GSE299506 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/07/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples
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.
Summary (written by the submitters)
Oncolytic virotherapy is a unique and promising immunotherapy. In our prior study, a recombinant oncolytic vaccinia virus carrying IL-7 and IL-12 (hIL-7/mIL-12-VV) showed robust antitumor efficacy in both immunogenic CT26.WT and poorly immunogenic Lewis lung carcinoma (LLC) within the treated tumors. However, the efficacy was limited in virus non-treated (distant) LLC tumors.
Read the full summary ↓
Here we identified oxaliplatin as a powerful combination partner for an oncolytic vaccinia virus to achieve strong efficacy in the virus-injected tumors and the distant tumors. To understand the molecular mechanism of enhanced antitumor efficacy, we evaluated RNA-sequencing signatures in LLC tumors treated with oxaliplatin alone, hIL-7/mIL-12-VV alone and their combination.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE299506_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1274876 and SRA study SRP591331. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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