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Cloning and comparison of human P63+ progenitor cells from various lung diseases [bulkRNA-seq]

GSE260777 Homo sapiens (human) RNA-seq (gene expression) 44 samples Submitted 2024/12/19 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 44 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
44 samples: 13 × COPD vs 13 × BE vs 12 × IPF vs 6 × HCGroups 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
Cloned airway basal progenitor cells to repair fibrotic lung through re-epithelializationNature communications · 2025
Summary (written by the submitters)
KRT5+P63+ progenitor cells located in the basal layer of the airway epithelium have been identified as a promising candidate for lung epithelium repair. To investigate P63+ progenitor cells in human, we cloned KRT5+P63+ progenitors from both healthy donors and patients with various lung diseases.
Published in
Cloned airway basal progenitor cells to repair fibrotic lung through re-epithelialization
Zhao Y, Zhou Y, Zhang W et al. · Nature communications 2025 · PMID 39900892 · doi:10.1038/s41467-025-56501-w
This dataset
Open GSE260777 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 GSE260777_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 PRJNA1083475 and SRA study SRP493166. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39900892) ↗
Study design
13 × COPD vs 13 × BE vs 12 × IPF vs 6 × HC

Supports a between-group comparison across 44 samples.

How we read this: 4 replicated groups read from 44 sample titles; they account for 44 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

+ 4 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq 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.