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Salivary Gland Tissue Recombination Can Modify Cell Fate [bulk RNA-seq]

GSE247699 Mus musculus (mouse) Single-cell RNA-seq 16 samples Submitted 2024/05/15 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 16 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
16 samples: 4 × Bulk E13 Parotid gland epithelium, vs 4 × Bulk E13 Parotid gland mesenchyme, vs 4 × Bulk E13 Submandibular gland epithelium, vs 4 × Bulk E13 Submandibular gland mesenchyme,Groups 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
Salivary Gland Tissue Recombination Can Modify Cell FateJournal of dental research · 2024
Summary (written by the submitters)
Although mesenchyme is essential for inducing the epithelium of ectodermal organs, its precise role in organ-specific epithelial fate determination remains poorly understood. To elucidate roles of tissue interactions in cellular differentiation, we performed single cell RNA sequencing and imaging analyses of recombined tissues in which embryonic mouse salivary gland mesenchyme and epithelium were switched ex vivo.
Read the full summary ↓
We found partial induction of molecules that define gland-specific acinar and myoepithelial cells in recombined salivary epithelium. Parotid epithelium (serous gland) recombined with submandibular mesenchyme (mixed serous-mucous, but predominantly mucous gland) began to express mucous acinar genes not intrinsic to the parotid gland. While myoepithelial cells do not normally line parotid acini, newly induced myoepithelial cells densely populated recombined parotid acini. However, mucous acinar and myoepithelial markers continued to be expressed in submandibular epithelial cells recombined with parotid mesenchyme. Consequently, some epithelial cells appeared to be plastic, such that their fate could still be altered in response to mesenchymal signaling, whereas other epithelial cells appeared to be already committed to a specific fate. We also discovered evidence for bidirectional induction: transcriptional changes were observed not only in the epithelium but also in the mesenchyme after heterotypic tissue recombination. For example, parotid epithelium induced the expression of muscle-related genes in submandibular fibroblasts that began to mimic parotid fibroblast gene expression. These studies provide the first comprehensive unbiased molecular characterization of tissue recombination approaches exploring the regulation of cell fate.
Published in
Salivary Gland Tissue Recombination Can Modify Cell Fate
Sekiguchi R, Martin D, Doyle AD et al. · Journal of dental research 2024 · PMID 38715201 · doi:10.1177/00220345241247484
This dataset
Open GSE247699 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 GSE247699_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 PRJNA1040188 and SRA study SRP471818. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38715201) ↗
Study design
4 × Bulk E13 Parotid gland epithelium, vs 4 × Bulk E13 Parotid gland mesenchyme, vs 4 × Bulk E13 Submandibular gland epithelium, vs 4 × Bulk E13 Submandibular gland mesenchyme,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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