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Distinct roles of keratinocyte- and myeloid- MCPIP1 in maintaining skin homeostasis

GSE253656 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/07/09 Platform GPL18635
At a glance

RNA-seq (gene expression) · mouse · 16 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
Mus musculus (mouse)
Samples
16 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
Keratinocyte and myeloid MCPIP1 have distinct roles in maintaining skin homeostasisBiochimica et biophysica acta. General subjects · 2024
Summary (written by the submitters)
The morphology of the skin changes upon depletion of MCPIP1 in cells of myeloid origin as well as in keratinocytes. The thicknesses of epidermal and hypodermal layers are significantly increased in mice with loss of epidermal MCPIP1, whereas loss of myeloid MCPIP1 exerts completely opposite effect. Both types of mice show contrary response to the stimulation with 12-O-tetradecanoylphorbol-13-acetate.
Read the full summary ↓
Skin morphology and inflammatory phenotype of keratinocyte- and myeloid- double MCPIP1 knockout mice is similar to that of the single keratinocyte knockout of MCPIP1. In all, myeloid and epidermal MCPIP1 play significant but distinct roles in the modulation of skin-related processes. This study was funded by National Science Centre grant numbers 2020/37/N/NZ5/00575 (to Weronika Szukala) and 2021/41/B/NZ5/03601 (to Jolanta Jura)."
Published in
Keratinocyte and myeloid MCPIP1 have distinct roles in maintaining skin homeostasis
Szukala W, Lichawska-Cieslar A, Zawada R et al. · Biochimica et biophysica acta. General subjects 2024 · PMID 39032853 · doi:10.1016/j.bbagen.2024.130671
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 GSE253656_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 PRJNA1066717 and SRA study SRP485387. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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