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Integrating multisector molecular characterization into personalized peptide vaccine design for patients with newly diagnosed glioblastoma.

GSE238012 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/04/12 Platform GPL24676Platform GPL29417
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
16 samples: 5 conditions, mostly in triplicateGroups 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
Integrating Multisector Molecular Characterization into Personalized Peptide Vaccine Design for Patients with Newly Diagnosed GlioblastomaClinical cancer research : an official journal of the American Association for Cancer Research · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Integrating Multisector Molecular Characterization into Personalized Peptide Vaccine Design for Patients with Newly Diagnosed Glioblastoma
Johanns TM, Garfinkle EAR, Miller KE et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2024 · PMID 38639919 · doi:10.1158/1078-0432.CCR-23-3077
This dataset
Open GSE238012 in finder → Find more human datasets → Glioblastoma landscape →
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 GSE238012_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 PRJNA997365 and SRA study SRP450776. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38639919) ↗
Study design
5 conditions, mostly in triplicate
Subject_3_pre_NeoVax_region ×5 Subject_1_pre_NeoVax_region ×3 Subject_2_pre_NeoVax_region ×3 Subject_3_post_NeoVax ×2 Subject_4_pre_NeoVax_region ×2 Subject 3_pre_NeoVax_region ×1

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 16 sample titles; they account for 15 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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Share this dataset

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.