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The significance of PAX5 in Merkel cell carcinoma

GSE214948 Homo sapiens (human) DNA methylation 39 samples Submitted 2025/01/31 Platform GPL23976Platform GPL18573Platform GPL24676
At a glance

DNA methylation · human · 39 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Topic
Merkel cell carcinomaThis series is part of our curated briefing on it.
Samples
39 samples: 15 × L-MCC vs 14 × Merkel_cell carcinoma_tissue_L-MCC vs 2 × Merkel_cell carcinoma_cell_line_MKLGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Paper
The significance of PAX5 in Merkel cell carcinomaThe Journal of pathology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
The significance of PAX5 in Merkel cell carcinoma
Chteinberg E, Kolarova J, Vogt J et al. · The Journal of pathology 2025 · PMID 40034069 · doi:10.1002/path.6410
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 GSE214948_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA887776 and SRA study SRP401339. Searching any of these in the dataset finder brings you back here.

Study design
15 × L-MCC vs 14 × Merkel_cell carcinoma_tissue_L-MCC vs 2 × Merkel_cell carcinoma_cell_line_MKL

Supports a between-group comparison across 31 samples.

How we read this: 3 replicated groups read from 39 sample titles; they account for 31 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
More Merkel cell carcinoma datasets

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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.