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Metabolic regulation of the glioblastoma stem cell epitranscriptome by malate dehydrogenase 2 (MDH2)

GSE255535 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/10/15 Platform GPL18573Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 9 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
Metabolic regulation of the glioblastoma stem cell epitranscriptome by malate dehydrogenase 2Cell metabolism · 2024
Summary (written by the submitters)
Glioblastoma (GBM) ranks among the most lethal of human cancers with current therapies offering only palliation. GBM displays striking intratumoral heterogeneity with diversity of cell state, metabolism, and molecular regulation. Here, we demonstrate that stem-like tumor cells, designated GBM stem cells (GSCs), display higher activity of the malate aspartate shuttle (MAS) through increased expression of malate dehydrogenase 2 (MDH2).
Read the full summary ↓
Genetic and pharmacologic targeting of MDH2 reduced GSC proliferation, self-renewal, and in vivo tumor growth. MDH2 targeting induced accumulation of alpha-ketoglutarate (αKG), a critical enzymatic co-factor. Mechanistically, MDH2 regulated post-transcriptional regulation of mRNA, specifically N6-Methyladenosine (m6A) with platelet-derived growth factor receptor- (PDGFR) as a regulated transcript. Leveraging these observations, targeting MDH2 and PDGFR displayed combinatorial efficacy against GSCs. Collectively, these results suggest that stem-like tumor cells reprogram their metabolism to induce changes in their epitranscriptomes that reveal possible therapeutic paradigms.
Published in
Metabolic regulation of the glioblastoma stem cell epitranscriptome by malate dehydrogenase 2
Lv D, Dixit D, Cruz AF et al. · Cell metabolism 2024 · PMID 39454581 · doi:10.1016/j.cmet.2024.09.014
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 GSE255535_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 PRJNA1075313 and SRA study SRP489237. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in duplicate
GSCs, shCONT ×2 GSCs, shMDH2-03 ×2 GSCs, ShMDH2-63 ×2 GSCs, shCONT_in ×2 GSCs, shCONT_IP ×2 GSCs, shMDH2_03_in ×2 GSCs, shMDH2_03_IP ×2 GSCs, shMDH2_63_in ×2 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 18 sample titles; they account for 18 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.