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HIF1α-glycolysis engages activation-induced cell death to drive IFN-γ induction in hypoxic T cells

GSE253090 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2024/09/24 Platform GPL24247Platform GPL17021
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
20 samples: 16 distinct titles, 4 of them repeatedGroups 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
HIF1α-regulated glycolysis promotes activation-induced cell death and IFN-γ induction in hypoxic T cellsNature communications · 2024
Summary (written by the submitters)
The role of HIF1a-glycolysis in regulating IFN-g induction in hypoxic T cells is unknown. Given that hypoxia is a common feature in a wide array of pathophysiological contexts such as tumor and that IFN-g is instrumental for protective immunity, it is of great significance to gain a clear idea on this. Combining pharmacological and genetic gain-of-function and loss-of-function approaches, we find that HIF1a-glycolysis controls IFN-g induction in both human and mouse T cells activated under hypoxia.
Read the full summary ↓
Specific deletion of HIF1a in T cells (HIF1a–/–) and glycolytic inhibition significantly abrogate IFN-g induction. Conversely, HIF1a stabilization in T cells by hypoxia and VHL deletion (VHL–/–) promotes IFN-g production. Mechanistically, reduced IFN-g production in hypoxic HIF1a–/– T cells is due to attenuated activation-induced cell death but not proliferative defect. We further show that depletion of intracellular acetyl-CoA is a key metabolic underlying mechanism. Hypoxic HIF1a–/– T cells are less able to kill tumor cells, and HIF1a–/– tumor-bearing mice are not responsive to immune checkpoint blockade (ICB) therapy, indicating loss of HIF1a in T cells is a major mechanism of therapeutic resistance to ICBs. Importantly, acetate supplementation restores IFN-g production in hypoxic HIF1a–/– T cells and re-sensitizes HIF1a–/– tumor-bearing mice to ICBs, providing an effective strategy to overcome ICB resistance. Taken together, our results highlight T cell HIF1a-anaerobic glycolysis as a principal mediator of IFN-g induction and anti-tumor immunity. Considering that acetate supplementation (i.e., glycerol triacetate (GTA)) is approved to treat infants with Canavan disease, we envision a rapid translation of our findings, justifying further testing of GTA as a repurposed medicine for ICB resistance, a pressing unmet medical need
Published in
HIF1α-regulated glycolysis promotes activation-induced cell death and IFN-γ induction in hypoxic T cells
Shen H, Ojo OA, Ding H et al. · Nature communications 2024 · PMID 39477954 · doi:10.1038/s41467-024-53593-8
This dataset
Open GSE253090 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 GSE253090_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1064028 and SRA study SRP483352. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39477954) ↗
Study design
16 distinct titles, 4 of them repeated
WT-Untreated-96hrs ×2 WT-Acetate-96hrs ×2 HIF1aKO-Untreated-96hrs ×2 HIF1aKO-Acetate-96hrs ×2

How we read this: Read from 20 sample titles: 16 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
Datasets on a similar topic

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