← BioTransfer GEO Dataset Finder
GEO series

Single-cell multi-omic analysis of post-transplant mesenchymal cells reveals molecular signatures and regulators of lung fibrosis (single-cell multiome sequencing)

GSE281482 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 8 samples Submitted 2026/04/03 Platform GPL24676
Summary
Chronic lung allograft dysfunction (CLAD) is a critical challenge in lung transplantation. Dysregulated gene expression and epigenomic states in lung mesenchymal cells (MCs) play a key role in these conditions. We performed single-cell multi-omic profiling on MCs isolated from human bronchoalveolar lavage samples of lung transplant recipients with CLAD, compared with time-matched controls. Our results provide deeper insights into the transcriptomic and epigenomic changes in post-transplant MCs, nominating biomarkers and disease-associated factors with implications for future therapeutic efforts.
Published in
Single-cell multiomic analysis of mesenchymal cells reveals molecular signatures and regulators of lung allograft fibrosis
Lu L, McLinden AP, Walker NM et al. · JCI insight 2026 · PMID 42044158 · doi:10.1172/jci.insight.196651
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE281482_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1184116 and SRA study SRP544203. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag 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.