GEO series

Extracellular Vesicle Cargo from Lipofibroblasts Mitigates COPD by Alveolar Type II Cell Restoration

GSE306080 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/02/25 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 12 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: Homo sapiens (human)
Samples: 12 samples: 3 × AT2_pbs vs 3 × AT2_LipoEVGroups 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: Extracellular vesicle cargo from lipofibroblasts mitigates chronic obstructive pulmonary disease by alveolar type 2 cell restorationAmerican journal of respiratory and critical care medicine · 2026

Summary (written by the submitters)

Rationale: Emerging research highlights cellular abnormalities in Chronic Obstructive Pulmonary Disease (COPD), focusing on alveolar type 2 (AT2) cells, which are key to lung tissue repair and normal cellular differentiation. Lipofibroblasts (LipoFBs), stromal fibroblasts containing lipid droplets, are closely associated with AT2 cells and support their function.

Read the full summary ↓

Objectives: We present a comprehensive investigation into the therapeutic potential of extracellular vesicles (EVs) derived from LipoFBs (LipoFB-EVs) in COPD treatment. Methods: LipoFBs were induced from lung fibroblasts using Metformin or Rosiglitazone in vitro, and their EVs were isolated via ultracentrifugation for analysis. Main Results: They effectively mitigate key COPD pathologies such as cellular senescence and inflammatory responses in lung epithelial cells. This is achieved by reducing reactive oxygen species (ROS) levels and modulating DNA damage response pathways. Moreover, LipoFB-EVs demonstrate anti-fibrotic properties by inhibiting TGF-β-induced myofibroblast differentiation, surpassing conventional anti-fibrotic drugs. They also aid in restoring impaired AT2 stem cells, which are crucial for lung homeostasis, by enhancing their viability, colony-forming ability, and proliferation. Furthermore, we identify the presence of L-type amino acid transporter 1 (LAT1) within LipoFB-EVs, which mediates amino acid uptake, particularly leucine transport, and contributes to the restoration of AT2 cell dysfunction. Importantly, the administration of LipoFB-EVs in murine models of COPD resulted in significant improvements in airway inflammation, remodeling, obstruction, cellular senescence, and alveolar emphysema induced by both short- and long-term CS exposure. Conclusions: Our findings highlight the therapeutic potential of LipoFB-EVs as a novel regenerative therapy for COPD, offering promising avenues for future clinical interventions

Published in

Extracellular vesicle cargo from lipofibroblasts mitigates chronic obstructive pulmonary disease by alveolar type 2 cell restoration

Fujimoto S, Hirano Y, Kawajiri K et al. · American journal of respiratory and critical care medicine 2026 · PMID 41738201 · doi:10.1093/ajrccm/aamag025

This dataset

Open GSE306080 in finder → Find more human 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 GSE306080_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 PRJNA1309079 and SRA study SRP610512. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41738201) ↗

Study design

3 × AT2_pbs vs 3 × AT2_LipoEV

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 6 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

GSM9192864 LF216ctrl
GSM9192865 LF216rosi
GSM9192866 LF2178ctrl
GSM9192867 LF2178rosi
GSM9192868 LF2213ctrl
GSM9192869 LF2213rosi
GSM9192870 AT2_pbs1 AT2_pbs
GSM9192871 AT2_LipoEV1 AT2_LipoEV
GSM9192872 AT2_pbs2 AT2_pbs
GSM9192873 AT2_LipoEV2 AT2_LipoEV
GSM9192874 AT2_pbs3 AT2_pbs
GSM9192875 AT2_LipoEV3 AT2_LipoEV

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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.