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Glioblastoma and its treatment are associated with extensive accelerated brain aging

GSE207821 Homo sapiens (human) RNA-seq (gene expression) 35 samples Submitted 2024/03/20 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 35 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)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
35 samples: 10 conditions, mostly in duplicateGroups 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.
Paper
Glioblastoma and its treatment are associated with extensive accelerated brain agingAging cell · 2024
Summary (written by the submitters)
Neurocognitive dysfunction is the leading cause of a reduced quality of life in patients with primary brain tumors. However, how the human brain responds to the tumor and its treatment remains largely unknown. Here we show that the brain of patients with glioblastoma shares features with Alzheimer’s disease and displays hallmarks of accelerated ageing, mitochondrial and neuronal dysfunction, and proteostasis deregulation, thus revealing new targets for managing cancer-related side effects.
Published in
Glioblastoma and its treatment are associated with extensive accelerated brain aging
Ainslie AP, Klaver M, Voshart DC et al. · Aging cell 2024 · PMID 38234228 · doi:10.1111/acel.14066
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 GSE207821_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 PRJNA857283 and SRA study SRP385693. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
Control_1_Nea ×2 Control_2_Nea ×2 Control_3_Nea ×2 Control_4_Nea ×2 Control_5_Nea ×2 NA_GBM_1_Nea ×2 NA_GBM_2_Nea ×2 NA_GBM_3_Nea ×2 +17 more

Supports a between-group comparison across 20 samples.

How we read this: 10 replicated groups read from 35 sample titles; they account for 20 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 Glioblastoma 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.