GEO series

Transcriptomic analysis of keloid fibroblasts demonstrates reduced expression of vitamin D binding partner Retinoid-X receptor α: Implications for clinical treatment

GSE282479 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/12/03 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 14 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: 14 samples: 14 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

Keloids are benign fibroproliferative tumours resulting from skin damage such as trauma, burns or surgery. Keloids are more prevalent in populations with darkly pigmented skin. Links between skin pigmentation and vitamin D production have been established and some studies indicate involvement of vitamin D signalling in keloid pathology.

Read the full summary ↓

This study assessed the impact of paricalcitol (a selective vitamin D signalling activator) on fibroblasts derived from keloid and normal skin, to further investigate the role and potential clinical relevance of vitamin D signalling in keloid pathology. Analysis of keloid and normal skin tissue using immunohistochemistry demonstrated a significant reduction of nuclear vitamin D receptor (VDR) in keloid tissue. After treatment with paricalcitol, nuclear VDR was increased in both keloid and normal fibroblasts. RNA sequencing of normal fibroblasts treated with paricalcitol demonstrated significant changes in gene expression, with many upregulated genes identified to have anti-fibrotic effects. However, paricalcitol failed to alter gene expression in Keloid fibroblasts. To investigate this further, we performed RNA sequencing of normal and keloid fibroblasts and found that retinoid-X receptor α (RXRα), a key binding partner of VDR required for downstream transcriptional activation, is significantly downregulated in keloid fibroblasts. Our results indicate that paricalcitol can effectively activate VDR translocation to the nucleus but is unable to effect change at the transcriptional level in keloid fibroblasts, most likely due to the reduced expression of RXRα. This suggests Vitamin D signalling may be aberrant in keloids, and that supplementation with Vitamin D alone would likely be ineffective in restoring signalling. Keywords: Keloid, Vitamin D receptor, Paricalcitol, Retinoid-X receptor α

This dataset

Open GSE282479 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 GSE282479_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: 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 PRJNA1188989 and SRA study SRP546657. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

14 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 14 sample titles: 14 distinct titles with little repetition. 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

GSM8644293 Pt 1 Keloid Fibroblasts Untreated
GSM8644294 Pt 1 Keloid Fibroblasts Paricalcitol
GSM8644295 Pt 2 Keloid Fibroblasts Untreated
GSM8644296 Pt 2 Keloid Fibroblasts Paricalcitol
GSM8644297 Pt 3 Keloid Fibroblasts Untreated
GSM8644298 Pt 3 Keloid Fibroblasts Paricalcitol
GSM8644299 Normal Fibroblasts 1 Untreated
GSM8644300 Normal Fibroblasts 1 Paricalcitol
GSM8644301 Normal Fibroblasts 2 Untreated
GSM8644302 Normal Fibroblasts 2 Paricalcitol
GSM8644303 Normal Fibroblasts 3 Untreated
GSM8644304 Normal Fibroblasts 3 Paricalcitol
GSM8644305 Normal Fibroblasts 4 Untreated
GSM8644306 Normal Fibroblasts 4 Paricalcitol

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.