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Multidimensional analysis of patient-matched primary and recurrent glioblastoma identifies microglial FCGR1A (CD64) and other FCGRs as contributors of tumor recurrence

GSE254875 Homo sapiens (human) Expression microarray 147 samples Submitted 2024/11/18 Platform GPL34160Platform GPL32130Platform GPL24676
At a glance

Expression microarray · human · 147 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
147 samples: 126 distinct titles, 17 of them repeatedGroups 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
Multidimensional analysis of matched primary and recurrent glioblastoma identifies contributors to tumor recurrence influencing time to relapseJournal of neuropathology and experimental neurology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Multidimensional analysis of matched primary and recurrent glioblastoma identifies contributors to tumor recurrence influencing time to relapse
Shekarian T, Ritz MF, Hogan S et al. · Journal of neuropathology and experimental neurology 2025 · PMID 39423857 · doi:10.1093/jnen/nlae108
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 GSE254875_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 arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA1072122 and SRA study SRP488905. Searching any of these in the dataset finder brings you back here.

Study design
126 distinct titles, 17 of them repeated
195_primary_GFAP_long_TalaSlide1Again ×3 417_recurrent_CD64_short_TalaSlide1Again ×3 38_primary_GFAP_long_TalaSlide1Again ×3 599_recurrent_GFAP_short_TalaSlide1Again ×3 185_recurrent_GFAP_short_Tala ×2 417_primary_CD64_short_Tala ×2 356_primary_CD64_short_TalaSlide1Again ×2 356_primary_GFAP_short_TalaSlide1Again ×2 +9 more

How we read this: Read from 147 sample titles: 126 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

+ 107 more — browse all 147 samples with per-sample file links →

More Glioblastoma datasets

Search all human RNA-seq datasets in GEO →

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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.