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Caloric restriction mimetic 2-deoxyglucose alters metabolic and transcriptomic phenotype in association with changes in chromatin accessibility in human astrocytes [ATAC-Seq]

GSE290342 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/06/16 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
Homo sapiens (human)
Samples
12 samples: 3 × Vehicle vs 3 × IL1B vs 3 × 2DG vs 3 × IL1B+2DGGroups 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
Caloric restriction mimetic 2-deoxyglucose alters metabolic and transcriptomic phenotype in association with changes in chromatin accessibility in human astrocytesScientific reports · 2025
Summary (written by the submitters)
Caloric restriction and ketogenic diets may modify the progression of neurological disorders, including HIV-associated neurological disorders and Alzheimer’s disease, in part by influencing astrocyte function. This study examines how metabolic substrate availability affects metabolic processes and gene expression in human astrocytes. We exposed astrocytes to the glycolysis inhibitor 2-deoxyglucose (2-DG) prior to stimulation with interleukin-1β and measured extracellular flux using the Seahorse ® platform.
Read the full summary ↓
We next analyzed gene expression and chromatin accessibility changes using RNA-sequencing and ATAC-sequencing, respectively. Finally, we tested the effects of glucose deprivation and the ketone body β-hydroxybutyrate (BHB) on inflammatory gene expression. 2-DG reduced oxygen consumption rate and extracellular acidification rate in the presence of IL-1β, while concomitantly decreasing expression of pro-inflammatory cytokines TNF, IL-6, and C3. These changes were linked to altered chromatin structure. The metabolic substrate β-hydroxybutyrate was associated with reduced cytokine expression compared to glucose. Inhibition of glycolysis attenuated IL-1β-induced inflammation and gene expression changes and altered chromatin architecture. Both glucose deprivation and BHB treatment reduced inflammatory cytokine expression, with additive effects when combined with 2-DG. These results suggest that targeting glycolysis could provide therapeutic strategies for treating neurological diseases through modulation of astrocyte-driven inflammation.
Published in
Caloric restriction mimetic 2-deoxyglucose alters metabolic and transcriptomic phenotype in association with changes in chromatin accessibility in human astrocytes
Spencer M, Kulbe JR, Venkatesh V et al. · Scientific reports 2025 · PMID 40461556 · doi:10.1038/s41598-025-03796-w
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 GSE290342_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1227515 and SRA study SRP565975. Searching any of these in the dataset finder brings you back here.

Study design
3 × Vehicle vs 3 × IL1B vs 3 × 2DG vs 3 × IL1B+2DG

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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