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Pharmacological impacts of Mucopolysacccharide Polyphosphates in skin involves inhibition of Amphiregulin-mediated signals in keratinocytes

GSE268656 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2024/07/03 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 33 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
33 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.
Paper
Pharmacological Impacts of Mucopolysacccharide Polyphosphates in the Epidermis Involves Inhibition of Amphiregulin-Mediated Signals in KeratinocytesExperimental dermatology · 2024
Summary (written by the submitters)
The epidermis, the most superficial layer of human skin, serves a critical barrier function, protecting the body from external pathogens and allergens. Dysregulation in the epidermal differentiation process contributes to barrier dysfunction and is implicated in the pathology of various dermatological diseases, including atopic dermatitis (AD).
Read the full summary ↓
Mucopolysaccharide polysulfate (MPS) is used as a moisturizing agent for xerosis in AD patients. However, its mechanism of action on keratinocytes, the main constituent of the epidermis, remains unclear. In this study, we investigated the impact of MPS on keratinocytes by subjecting adult human epidermal keratinocyte (HEKa) cells and three-dimensional cultured keratinocytes to MPS treatment, followed by transcriptome analysis. The analysis revealed that MPS treatment enhances keratinocyte differentiation and suppresses proliferation. We focused on amphiregulin (AREG), a membrane protein that belongs to the epidermal growth factor (EGF) family and possesses a heparin-binding domain, as a significant target of the MPS among the genes altered by MPS. It is revealed that MPS exerts an inhibitory effect directly on AREG, rather than on the EGF receptor or other members of the EGF family. Furthermore, it is suggested that AREG leads to a reduction in epidermal barrier function, whereas MPS contributes to barrier enhancement through AREG inhibition. Collectively, these findings suggest that MPS modulates barrier function through the inhibition of AREG, offering insights into potential therapeutic strategies for skin barrier restoration.
Published in
Pharmacological Impacts of Mucopolysacccharide Polyphosphates in the Epidermis Involves Inhibition of Amphiregulin-Mediated Signals in Keratinocytes
Hirase R, Fujita T, Miyai T et al. · Experimental dermatology 2024 · PMID 39422315 · doi:10.1111/exd.70000
This dataset
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.

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 GSE268656_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1118210 and SRA study SRP510801. Searching any of these in the dataset finder brings you back here.

Samples in this study

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