← BioTransfer GEO Dataset Finder
GEO series

mTORC1 hyperactivation blocks pluripotent stem cells fate transitions through TFE3-NuRD association

GSE301743 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2025/07/09 Platform GPL24247Platform GPL28330
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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)
As an evolutionarily conserved master regulator of metabolism, mechanistic target of rapamycin complex 1 (mTORC1) regulates cell states and fates in development, cancer and aging. mTORC1 activity regulation was critical for pluripotent stem cells maintenance and cell fate transitions. Inhibition of mTORC1 induces embryonic stem cells (ESCs) entry into a paused state which reversibly arrests self-renewal leaving pluripotency intact.
Read the full summary ↓
Hyperactivation of mTORC1 impedes both pluripotency re-establishment and exit of PSCs. As shown that mTORC1 mediates TFE3 nuclear translocation block pluripotency exit, whether similar mechanisms through transcription factor TFE3 are involved in these processes, and the detailed mechanism by which mTORC1-TFE3 regulates critical transcriptional processes for these transitions, remain unclear. In this study, we demonstrate that the nuclear translocation of TFE3, induced by hyperactivation of mTORC1, results in its binding to the nucleosome remodeling and deacetylation (NuRD) complex in both re-establishment and exit of pluripotency. This interaction inhibits the expression of various crucial genes during different fate transitions of PSCs. Our findings uncover a common and key role of TFE3-NuRD association as mediator of mTORC1 to block pluripotent cell fate transitions, with implications for various fields including physiological and pathological diseases.
This dataset
Open GSE301743 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE301743_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 PRJNA1256719 and SRA study SRP582016. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 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

Search all mouse 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.