← BioTransfer GEO Dataset Finder
GEO series

Transcriptional coactivator MED15 is required for beta cell maturation

GSE137145 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 31 samples Submitted 2024/09/10 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 31 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
31 samples: 11 conditions, mostly in duplicateGroups 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
Transcriptional coactivator MED15 is required for beta cell maturationNature communications · 2024
Summary (written by the submitters)
Mediator, a co-regulator required for RNA pol II activity, interacts with tissue-specific transcription factors to regulate development and maintain homeostasis. We sought to understand whether Mediator subunit MED15 acts as a node that controls tissue-specific gene expression, using pancreatic insulin-producing β-cell maturation as a model.
Read the full summary ↓
We found Med15 to be expressed during mouse pancreatic organogenesis and β-cell maturation; moreover, islets from human T2D donors feature reduced MED15 expression. Loss of Med15 in mouse β-cells caused defects in maturation without affecting β-cell mass or insulin expression. ChIP-seq and co-immunoprecipitation analyses determined that Med15 binds β-cell transcription factors Nkx6-1 and NeuroD1 to regulate key β-cell maturation genes. Human embryonic stem cell derived β-like cells, genetically engineered to express high levels of MED15, had increased maturation markers and improved insulin secretion. We provide the first evidence of the importance of Mediator in β-cell maturation and demonstrate an additional layer of control that tunes transcription factor function.
Published in
Transcriptional coactivator MED15 is required for beta cell maturation
Kadhim AZ, Vanderkruk B, Mar S et al. · Nature communications 2024 · PMID 39379383 · doi:10.1038/s41467-024-52801-9
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 GSE137145_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 PRJNA564631 and SRA study SRP221151. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly in duplicate
islets, wildtype, ×5 islets, knockout, ×5 Input_MIN6 ×3 Med15_MIN6 ×3 Med1_MIN6 ×3 Input_CTRL ×2 Med15_CTRL ×2 Med1_CTRL ×2 +3 more

Supports a case/control comparison: 5 samples read as cases, 11 as controls.

How we read this: 11 replicated groups read from 31 sample titles; they account for 31 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 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.