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WNT Mimetic-Induced Lacrimal Gland Regeneration

GSE295860 Mus musculus (mouse) Single-cell RNA-seq 26 samples Submitted 2025/06/10 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 26 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
Mus musculus (mouse)
Samples
26 samples: 8 conditions, mostly in triplicateGroups 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
WNT Mimetic-Induced Lacrimal Gland Regeneration Reverses Aqueous Tear DeficiencyTranslational vision science & technology · 2025
Summary (written by the submitters)
Although tear replacement and anti-inflammatory treatments have been thoroughly investigated, a method to induce epithelial restoration is lacking. Here, we asked whether WNT signaling activation via an antibody-based WNT mimetic platform might activate lacrimal gland acinar cells and restore tear secretion. Transcriptional and cellular changes were investigated using single cell sequencing.
Read the full summary ↓
In a mouse model of dry eye disease, and intra-lacrimal gland treatment with a WNT mimetic targeting FZD1, 2, and 7 reversed aqueous tear deficiency. After excretory duct ligation damage, WNT mimetic treatment promoted acinar cell restoration and increased detectable tear volume production. We demonstrate a role for WNT signaling in acinar cell proliferation, and scRNA-seq revealed that the WNT mimetic promotes pathway activation and proliferation in injury-induced states. Our findings extend the potential for WNT pathway activation via a ligand mimetic platform to lacrimal gland regeneration.
Published in
WNT Mimetic-Induced Lacrimal Gland Regeneration Reverses Aqueous Tear Deficiency
Nguyen H, Fletcher RB, Lopez T et al. · Translational vision science & technology 2025 · PMID 40492997 · doi:10.1167/tvst.14.6.19
This dataset
Open GSE295860 in finder → Find more mouse 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 GSE295860_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 PRJNA1256503 and SRA study SRP581886. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40492997) ↗
Study design
8 conditions, mostly in triplicate
Duct Ligation, day 0, ×3 Duct Ligation, AntiGFP day 1, ×3 Duct Ligation, L-F127 day 1, ×3 Duct Ligation, AntiGFP day 5, ×3 Duct Ligation, L-F127 day 5, ×3 Duct Ligation, AntiGFP day 7, ×3 Duct Ligation, L-F127 day 7, ×3 Uninjured, day 0, ×2 +3 more

Supports a between-group comparison across 23 samples.

How we read this: 8 replicated groups read from 26 sample titles; they account for 23 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
Datasets on a similar topic

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