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MED26 facilitates Mediator–Pol II complex assembly and promotes nuclear stress body formation during heat stress

GSE318822 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 63 samples Submitted 2026/08/04 Platform GPL34284
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 63 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
63 samples: 49 distinct titles, 7 of them repeatedGroups 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)
Cells adapt to environmental stress by reprogramming gene expression. During heat stress, the transcription factor HSF1 translocates into the nucleus and activates heat shock–responsive genes, including the lncRNA HSATIII, thereby promoting formation of nuclear stress bodies (nSBs). We show that the Mediator subunit MED26 enhances HSATIII transcription and nSB formation through a mechanism distinct from its role at canonical heat shock protein (HSP) genes.
Read the full summary ↓
Upon heat stress, MED26-containing Mediator is recruited to both HSP loci and nSBs through interactions with HSF1 and MED15. Notably, phosphorylation of the intrinsically disordered region (IDR) of HSF1 is particularly important for Mediator recruitment to nSBs. Acute loss of MED26 leads to dissociation of both Mediator and Pol II from HSP promoters, whereas at HSATIII loci Mediator is retained despite Pol II dissociation. These results indicate that MED26 acts as molecular switch that facilitates Mediator-Pol II holo-complex assembly at nSBs and promotes nSB formation during heat stress.
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 GSE318822_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 PRJNA1420682 and SRA study SRP675640. Searching any of these in the dataset finder brings you back here.

Study design
49 distinct titles, 7 of them repeated
RNA-seq_HSF1-WT_NT ×3 RNA-seq_HSF1-WT_HS ×3 RNA-seq_HSF1-SA_NT ×3 RNA-seq_HSF1-SA_HS ×3 RNA-seq_dTAG-MED26_NT_DMSO ×3 RNA-seq_dTAG-MED26_HS_DMSO ×3 RNA-seq_dTAG-MED26_HS_dTAG ×3

How we read this: Read from 63 sample titles: 49 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

+ 23 more — browse all 63 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.