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Evaluation of potential immune-related adverse events in mouse lung tissues after anti-PD1 or anti-PD1 nanocapsule treatment

GSE321667 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/06/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 3 × Anti-PD1 vs 3 × Nanocapsule_Anti-PD1 vs 3 × ControlGroups 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
Universal diseased-site targeting via glycolysis-driven lactic acid gradientScience advances · 2026
Summary (written by the submitters)
Immune-releated adverse events is a common side effect in immune-checkpoint bloakade therapy like anti-PD1. Here, we performed RNA sequencing of lung tissues after treatment of anti-PD1 or anti-PD1 nanocapsules to evaluate their transcriptomic change related to adverse events. Our analysis has revelaed that nanocapsules which can target tumor tissue more effectively rather than accumulating in healthy tissues cause less transcriptomic change and can potentially prevent immune0related adverse events in lung tissues.
Published in
Universal diseased-site targeting via glycolysis-driven lactic acid gradient
Cao Z, Cheng X, Lu X et al. · Science advances 2026 · PMID 42319928 · doi:10.1126/sciadv.aeb4570
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 GSE321667_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 PRJNA1429265 and SRA study SRP679763. Searching any of these in the dataset finder brings you back here.

Study design
3 × Anti-PD1 vs 3 × Nanocapsule_Anti-PD1 vs 3 × Control

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.

Samples in this study
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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.