← BioTransfer GEO Dataset Finder
GEO series

BACH1 suppresses cellular senescence, obesity, and short lifespan by ferroptotic FGF21 secretion

GSE238147 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/06/11 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Hepa1_Control vs 3 × Hepa1_Ferroptotic vs 3 × MEFs_Control vs 3 × MEFs_FerroptoticGroups 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
BACH1 inhibits senescence, obesity, and short lifespan by ferroptotic FGF21 secretionCell reports · 2024
Summary (written by the submitters)
Ferroptosis is a form of regulated cell death characterized by iron-dependent lipid peroxidation. While ferroptosis has been identified as a mechanism for suppressing cancer, its overall physiological significance remains poorly understood. Recent studies have revealed that labile iron and lipid peroxides are released from ferroptotic cells, leading to the propagation of ferroptosis through lipid peroxidation.
Read the full summary ↓
However, other specific effects of secreted factors derived from ferroptotic cells remain unclear. We constructed a model cell system capable of inducing ferroptosis by re-expressing the transcription factor BACH1, a potent inducer of ferroptosis, in immortalized mouse embryonic fibroblasts (iMEFs). We investigated the impact of the secreted factors from ferroptotic cells with the iMEFs. As a result, we observed that the administration of supernatant media from ferroptotic iMEFs activated proliferation of hepatoma cells and suppressed cellular senescence-like features. This suggested that ferroptotic MEFs secrete anti-senescent substances. Transcriptome analysis of ferroptotic MEFs revealed an increase in the secretion of longevity factor FGF21 in a BACH1-dependent manner. Furthermore, the anti-senescent effects of the supernatant media from these ferroptotic cells were canceled by the knockout of Fgf21. Totally, it is suggested that BACH1 promotes ferroptosis in fibroblasts and contributes to the suppression of cellular senescence in neighboring cells by inducing FGF21 secretion from fibroblasts. It was also discovered that BACH1 not only activates indirectly the transcription of FGF21 by enhancing ferroptotic stress but also increases FGF21 protein level by suppressing the selective autophagic degradation of FGF21 through the transcriptional repression for Sqstm1 and Lamp2a. This represents a dual mechanism of FGF21 upregulation mediated by BACH1, suggesting that BACH1 is a potent inducer of FGF21 expression. It was also found that the BACH1-ferroptosis-FGF21 axis can suppress obesity of mice under high fat diet or short lifespan of progeria mice, closely associated phenotypes with aging. The inhibition of these aging-related phenotypes is considered to be a novel physiological significance of ferroptosis, and BACH1 is considered to function as a longevity gene by promoting ferroptotsis and subsequent FGF21 expression.
Published in
BACH1 inhibits senescence, obesity, and short lifespan by ferroptotic FGF21 secretion
Nishizawa H, Matsumoto M, Yamanaka M et al. · Cell reports 2024 · PMID 38943639 · doi:10.1016/j.celrep.2024.114403
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 GSE238147_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 PRJNA998051 and SRA study SRP451191. Searching any of these in the dataset finder brings you back here.

Study design
3 × Hepa1_Control vs 3 × Hepa1_Ferroptotic vs 3 × MEFs_Control vs 3 × MEFs_Ferroptotic

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
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.