← BioTransfer GEO Dataset Finder
GEO series

Alpha-ketoglutarate dehydrogenase is a therapeutic vulnerability in acute myeloid leukemia [RN2_shOGDH]

GSE282980 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/11/27 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 24 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
Mus musculus (mouse)
Samples
24 samples: 12 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.
Summary (written by the submitters)
Perturbations in intermediary metabolism contribute to the pathogenesis of acute myeloid leukemia (AML) and can produce therapeutically actionable dependencies. Here, we probed whether alpha-ketoglutarate (aKG) metabolism represents a specific vulnerability in AML. Using functional genomics, metabolomics, and mouse models, we identified the aKG dehydrogenase complex, which catalyzes the conversion of aKG to succinyl CoA, as a molecular dependency across multiple models of adverse-risk AML.
Read the full summary ↓
Inhibition of 2-oxoglutarate dehydrogenase (OGDH), the E1 subunit of the aKG dehydrogenase complex, impaired AML progression and drove differentiation. Mechanistically, hindrance of aKG flux through the tricarboxylic acid (TCA) cycle resulted in rapid exhaustion of aspartate pools and blockade of de novo nucleotide biosynthesis, while cellular bioenergetics was largely preserved. Additionally, increased aKG levels following OGDH inhibition impacted the biosynthesis of other critical amino acids. Thus, this work has identified a previously undescribed, functional link between certain TCA cycle components and nucleotide biosynthesis enzymes across AML. This metabolic node may serve as a cancer-specific vulnerability amenable to therapeutic targeting in AML and perhaps in other cancers with similar metabolic wiring.
This dataset
Open GSE282980 in finder → Find more mouse RNA-seq datasets →
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 GSE282980_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 PRJNA1191403 and SRA study SRP547945. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly in duplicate
Murine AML, control shRNA, clone 2, D0, ×2 Murine AML, control shRNA, clone 7, D0, ×2 Murine AML, OGDH shRNA1, clone 1, D0, ×2 Murine AML, OGDH shRNA1, clone 5, D0, ×2 Murine AML, OGDH shRNA2, clone 3, D0, ×2 Murine AML, OGDH shRNA2, clone 5, D0, ×2 Murine AML, control shRNA, clone 2, D4, ×2 Murine AML, control shRNA, clone 7, D4, ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 12 replicated groups read from 24 sample titles; they account for 24 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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.