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Bimodal Imaging-Guided Temporal Optimization of Combined Chemotherapy and DC Vaccine Immunotherapy

GSE325822 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2026/04/02 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 45 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
45 samples: 30 distinct titles, 7 of them repeatedGroups 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.
Summary (written by the submitters)
Dendritic cell (DC) vaccines represent a clinically promising strategy for cancer treatment using a "prime-boost" approach. Achieving synergistic antitumor efficacy with chemotherapy requires precise temporal coordination, yet the timing of post-chemotherapy vaccination remains unstandardized, hindering its clinical translation. To address this, we designed a nanoprobe (Fe@O-DT(Cy7)) and applied bimodal imaging (FMI/MPI) to track DC vaccine migration and apoptosis after oxaliplatin treatment in a colorectal cancer model.
Read the full summary ↓
We identified an optimal therapeutic window on day 7 post-chemotherapy, coinciding with peak immunogenic cell death (ICD). DC vaccination within this 7-d window ensured optimal lymph node homing, minimal apoptosis, and enhanced antitumor efficacy, characterized by immune cell infiltration and tertiary lymphoid structure (TLS) formation. Mechanistically, this window correlated with NF-κB pathway activation and CCL19/CCL21 upregulation. This study elucidates the role of the LTα1β2-LTβR axis in ICD-modulated DC vaccination and reveals the function of TLS in DC vaccine efficacy.
This dataset
Open GSE325822 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE325822_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1442016 and SRA study SRP686205. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 distinct titles, 7 of them repeated
mouse-tumor,DC ×4 mouse-tumor,OD3 ×4 mouse-tumor,CON ×3 mouse-tumor,OXA ×3 mouse-tumor,OD7 ×3 mouse-tumor,OD10 ×3 mouse-PLN,OD14 ×2

How we read this: Read from 45 sample titles: 30 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.

Samples in this study

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.