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An IDR-dependent mechanism for nuclear receptor control of mediator interaction with RNA polymerase II

GSE233372 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2024/08/19 Platform GPL17021Platform GPL21493Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 36 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
36 samples
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
An IDR-dependent mechanism for nuclear receptor control of Mediator interaction with RNA polymerase IIMolecular cell · 2024
Summary (written by the submitters)
We investigated modulation of metazoan MED interaction with RNA polymerase II (Pol II) by antagonistic effects of the MED26 subunit and the Cdk8 kinase module (CKM), both of which associate dynamically with MED. Results from in vivo studies point to a general and important role of MED26 in transcription, connected to Pol II recruitment.
Read the full summary ↓
Analysis of CKM-MED and MED26-MED complexes by cryo-EM and crosslinking-mass spectrometry showed that CKM and MED26 have opposite effects on mMED association with Pol II (blocking and facilitating it, respectively), and revealed that the structural basis for their antagonistic interaction with MED relates to extended intrinsically-disordered regions (IDRs) in MED26 and the CKM subunit MED13 competing for interaction with MED. We found CKM-MED to be the preferred target of nuclear receptors (NRs), whose binding can initiate rearrangements of the MED13 IDR that allow MED26-dependent interaction of CKM-MED with the Pol II carboxy-terminal domain (CTD). Our results suggest that activators might play a critical role independent of MED recruitment, instead “activating” CKM-MED for CTD interaction in a MED26-dependent manner and, thus, controlling the start of preinitiation complex assembly. The presence of an intermediate state in which MED26 and the CTD II can interact with CKM-MED suggests a mechanism for fast, recruitment-independent activation connected to promoter-proximal Pol II pausing, with an activator enabling interaction between the originally inactive CKM-MED and a paused Pol II poised to initiate transcription. We found that CTD interaction with CKM-MED influences the subunit composition of the Tail module and this allostery suggests that the mechanism we propose could apply to non-NR activators targeting Tail subunits.
Published in
An IDR-dependent mechanism for nuclear receptor control of Mediator interaction with RNA polymerase II
Zhao H, Li J, Xiang Y et al. · Molecular cell 2024 · PMID 38955181 · doi:10.1016/j.molcel.2024.06.006
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 GSE233372_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 PRJNA975954 and SRA study SRP439431. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 36 more — browse all 36 samples with per-sample file links →

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