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Microwave-Induced Tumor-Derived Microparticles Treat Lung Adenocarcinoma by Inducing Immunogenic Cell Death via HMGB1 Shuttling [RNA-Seq]

GSE292405 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/03/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × LLC cell line, control, 24h, vs 4 × LLC cell line, microwave, 24h, vs 4 × LLC cell line, ultraviolet irradiation, 24h, vs 4 × LLC cell line, serum-starved, 24h,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.
Summary (written by the submitters)
Tumor-derived microparticles (TMPs), a subtype of extracellular vesicles, hold great promise in tumor immunotherapies and vaccines, and have demonstrated significant potential as drug delivery systems for clinical tumor treatment. In our previous study, we utilized TMPs released from parental tumor cells upon ultraviolet irradiation (UV-TMPs) to deliver methotrexate (MTX), effectively managing malignant pleural effusion (MPE) in advanced lung cancer cases.
Read the full summary ↓
However, concerns remain regarding the potential risks associated with nucleic acid incorporation, alongside the limited antitumor efficacy of UV-TMPs alone. Here, we introduce a microwave (MW)-assisted method for preparing TMPs, termed MW-TMPs. Brief exposure to short-wavelength MW radiation triggered various forms of programmed cell death, including apoptosis, necroptosis, and pyroptosis, promoting the release of TMPs. These resulting MW-TMPs contained fewer nucleic acids and exhibited superior antitumor activity in vivo compared to UV-TMPs. Mechanistically, MW-TMPs induced immunogenic cell death (ICD) by shuttling HMGB1 and enabled dual targeting of tumor cells by natural killer (NK) and T cells, while reprogramming of suppressive tumor immune microenvironments in LLC lung adenocarcinoma (LUAD) mouse models. Furthermore, similar effective tumor inhibition was observed in clinical MPE samples and zebrafish PDX models, suggesting the potential of MW-TMPs for clinical cancer immunotherapy. In further application studies, MW-TMPs successfully encapsulated the chemotherapeutic drug MTX, demonstrating enhanced antitumor efficacy both in vitro and in vivo, thereby establishing their potential as an innovative drug delivery platform. Moreover, combination immunotherapy with PD-L1 blockade confirmed a synergistic antitumor effect. This MW-TMP development strategy has improved upon traditional UV-TMP methods in terms of simplicity, efficiency, safety, and efficacy.
This dataset
Open GSE292405 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 GSE292405_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 PRJNA1238326 and SRA study SRP571641. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × LLC cell line, control, 24h, vs 4 × LLC cell line, microwave, 24h, vs 4 × LLC cell line, ultraviolet irradiation, 24h, vs 4 × LLC cell line, serum-starved, 24h,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

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