← BioTransfer GEO Dataset Finder
GEO series

SIRT1-FOXO3 Pathway reprograms fatty acid metabolism to Mitigate Ferroptosis and Fibrosis [ChIP-seq]

GSE292755 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/03/26 Platform GPL24676
Summary
Targeting ferroptosis with reductive agents has emerged as a promising strategy to mitigate fibrotic diseases in various pathological conditions. However, while the NAD+/NADH redox pair plays a crucial role in biological processes, its connection to ferroptosis beyond FSP1 remains poorly understood. To explore underappreciated NAD+/NADH-dependent factors in the ferroptosis cascade, we conducted a compound screening of 138 NAD+ enzyme modulatory molecules and identified Sirtuin-1 (SIRT1) activators as critical regulators of ferroptosis. SIRT1 activators, such as SRT1720, broadly inhibit ferroptosis by reducing lipid peroxidation without affecting labile iron levels. Moreover, SRT1720 effectively alleviates pulmonary and liver fibrosis in mouse models. Using ChIP-seq and validation assays, we demonstrated that FOXO3 binds to gene loci involved in fatty acid elongation and arachidonic acid metabolism in ferroptosis. SRT1720 disrupts this binding, thereby restraining fatty acid metabolism and limiting lipid peroxides production. Our findings establish the SIRT1-FOXO3 axis as a key inhibitory pathway against ferroptosis and highlight its therapeutic potential for ferroptosis-associated diseases, including fibrosis.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE292755_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1241210 and SRA study SRP572822. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag 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.