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Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery

GSE330865 Mus musculus (mouse) RNA-seq (gene expression) 120 samples Submitted 2026/05/18 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 120 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
120 samples: 24 conditions, mostly with about 5 replicates eachGroups 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)
Elderly patients exhibit heightened susceptibility to postoperative complications following general anesthesia and surgery, yet the molecular mechanisms driving this age-dependent vulnerability remain poorly defined. We performed RNA sequencing on olfactory bulb (OB), hippocampus (HI), lung, and spleen from young (3-month, m), late middle-aged (17m), and geriatric (27m) male C57BL/6 mice 24 hours after 2 hours of exposure to isoflurane anesthesia and laparotomy (ISO/OP).
Read the full summary ↓
Short-term ISO/OP elicited pronounced, age-dependent transcriptional remodeling across tissues. Late middle-aged mice exhibited robust activation of stress- and metabolism-associated pathways in the OB and HI, accompanied by suppression of lipid, synaptic, and structural maintenance programs. In contrast, young adults displayed limited responses, characterized by modest and adaptive synaptic remodeling in the HI. Peripheral organs showed a parallel age-dependent divergence. Late middle-aged mice exhibited amplified immune and inflammatory signaling in the lung and spleen alongside suppression of structural, regulatory, and metabolic homeostatic programs, whereas young adults demonstrated attenuated, metabolically adaptive transcriptional responses. Circulating extracellular vesicles (EVs) mirrored tissue-level shifts, indicating a systemic transition from adaptive plasticity in 3m to stress and immune dominant signaling by 17m. Geriatric mice displayed a distinct response pattern, characterized by activation of stress and detoxification programs in brain tissues, altered circadian gene expression in lung and spleen, and extensive remodeling of EV protein cargo enriched for inflammatory and growth factor-related signatures. Together, these findings indicate that late middle-age is associated with amplified peri-anesthetic biological reactivity across central and peripheral systems, suggesting an under-recognized window for perioperative risk stratification and preventative intervention.
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 GSE330865_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 PRJNA1465828 and SRA study SRP700236. Searching any of these in the dataset finder brings you back here.

Study design
24 conditions, mostly with about 5 replicates each
Mouse Hippocampus, 17m old, isoflurane anesth… ×5 Mouse Hippocampus, 17m old, Sham, ×5 Mouse Hippocampus, 27m old, isoflurane anesth… ×5 Mouse Hippocampus, 27m old, Sham, ×5 Mouse Hippocampus, 3m old, isoflurane anesthe… ×5 Mouse Hippocampus, 3m old, Sham, ×5 Mouse Lung, 17m old, isoflurane anesthesia co… ×5 Mouse Lung, 17m old, Sham, ×5 +16 more

Supports a between-group comparison across 120 samples.

How we read this: 24 replicated groups read from 120 sample titles; they account for 120 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

+ 80 more — browse all 120 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.