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NGFR-marked basal duct progenitors drive ductal-acinar regeneration in injured salivary glands

GSE330533 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2026/05/15 Platform GPL24676

At a glance

Single-cell RNA-seq · human · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Homo sapiens (human)
Samples: 2 samples
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)

Severe salivary gland injury causes long-term structural and functional impairment, yet the epithelial populations associated with repair remain incompletely defined. Here, we identify NGFR as a surface marker of a basal duct-associated epithelial population with organoid-forming capacity in the human salivary gland and show that Ngfr marks a conserved injury-responsive epithelial population in the mouse salivary gland.

Read the full summary ↓

Single-cell RNA sequencing of human salivary gland tissue revealed that NGFR was enriched in a restricted basal duct subpopulation distinct from differentiated epithelial and myoepithelial compartments. NGFR-positive cells exhibited a progenitor-like transcriptional profile and were enriched at early pseudotime positions in inferred ductal-acinar differentiation trajectories. Functionally, NGFR-positive cells isolated from human tissue and organoids showed enhanced organoid-forming capacity, and NGFR-enriched organoids engrafted into injured mouse salivary glands. In mouse salivary glands, Ngfr marked a rare epithelial population whose isolated Ngfr-positive fraction showed enriched organoid-forming activity and was detected in injury-associated ductal regions after duct ligation and local inflammatory injury. Lineage tracing using Ngfr-CreERT2; Rosa26-tdTomato mice further showed that Ngfr-lineage cells contribute to ductal and acinar epithelial compartments during post-injury regeneration. Together, these findings define NGFR in human and Ngfr in mouse as conserved markers of an injury-responsive basal duct epithelial population that can be prospectively isolated and contributes to ductal and acinar epithelial compartments during post-injury salivary gland regeneration.

This dataset

Open GSE330533 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 GSE330533_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1464554 and SRA study SRP699271. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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