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Intrinsically disordered regions restrain genomic targeting of RNA and histone demethylases in mammals and plants [Histone_LCD_RNA]

GSE286064 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/03/09 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 8 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.
Summary (written by the submitters)
Intrinsically disordered regions (IDRs) are well-known facilitators of chromatin regulation, but their role as regulatory restraints remains underexplored. Here, we reveal that the C-terminal IDR of mammalian ALKBH5 anchors its main activity to mRNA, limiting chromatin engagement in mouse embryonic stem cells (mESCs). IDR deletion redirects ALKBH5 to chromatin-associated non-coding RNAs, driving widespread chromatin opening and transcriptional activation.
Read the full summary ↓
This mechanism extends to histone demethylases, where IDR deletion also results in broad removal of repressive histone marks, leading to increased chromatin accessibility and activation of transposable elements. Leveraging these insights, we engineered ALKBH5 and its plant homologs with IDR deletion. Overexpression of these IDR-deleted ALKBH5 demethylases could promote Arabidopsis root growth and increase rice yield. Our findings uncover a conserved role for IDRs in restraining chromatin access by RNA and histone demethylases and establish a new strategy of chromatin programming for crop engineering using plant proteins.
This dataset
Open GSE286064 in finder → Find more mouse RNA-seq 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 GSE286064_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: 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 PRJNA1207565 and SRA study SRP555855. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in duplicate
caRNA KDM4A del-cIDR OE ×2 caRNA KDM4A FL OE ×2 caRNA KDM4B del-cIDR OE ×2 caRNA KDM4B FL OE ×2 caRNA KDM6B del-cIDR OE ×2 caRNA KDM6B FL OE ×2 caRNA KDM6A del-cIDR OE ×2 caRNA KDM6A FL OE ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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

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