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Correlated protein-RNA associations and a requirement for HNRNPU in the long-range recruitment of Polycomb Repressive Complexes by the lncRNAs Airn and Kcnq1ot1

GSE299584 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/06/10 Platform GPL32159
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 20 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.
Paper
Correlated protein-RNA associations and a requirement for HNRNPU in the long-range recruitment of Polycomb Repressive Complexes by the lncRNAs Airn and Kcnq1ot1PLoS genetics · 2026
Summary (written by the submitters)
The lncRNAs Airn and Kcnq1ot1 recruit Polycomb Repressive Complexes (PRCs) and repress genes over multi-megabase genomic intervals, but how they interact with proteins to direct repression remains poorly understood. We conducted formaldehyde-linked RNA-immunoprecipitations (RIPs) of 27 proteins from mouse trophoblast stem cells (TSCs), using a protocol exhibiting similar signal-to-non-specific signal and post-lysis reassociation ratios as crosslinking immunoprecipitation (CLIP) and crosslinking affinity purification (CLAP).
Read the full summary ↓
Patterns of protein associations across Airn and Kcnq1ot1 were more similar to each other than to nearly all other transcripts and partitioned to extents that mirrored the degree of repression each lncRNA induced, implying connections to mechanism. Indeed, HNRNPU, a factor essential for Xist's localization to chromatin, was enriched over Airn and Kcnq1ot1 and required to maintain normal levels of PRC1- and PRC2-directed chromatin modifications across the Airn and Kcnq1ot1 target domains, yet was dispensable for both lncRNAs’ localization to chromatin and for their association with PRC1. HNRNPU depletion caused a greater reduction in PRC-directed chromatin modifications and gene repression across the inactive X chromosome and the ~15 Mb Airntarget domain than across the ~3 Mb Kcnq1ot1 domain. Perhaps relatedly, HNRNPU depletion significantly reduced overall levels of the Xist and Airn but not the Kcnq1ot1 lncRNAs. Our study reports architectures of protein association along Airn and Kcnq1ot1 compared to the transcriptome at large, highlights shared and distinct features between the two lncRNAs, and provides new perspective on the role of HNRNPU in long-range chromatin regulation by lncRNAs.
Published in
Correlated protein-RNA associations and a requirement for HNRNPU in the long-range recruitment of Polycomb Repressive Complexes by the lncRNAs Airn and Kcnq1ot1
Murvin MM, Li S, Abrash EW et al. · PLoS genetics 2026 · PMID 42335169 · doi:10.1371/journal.pgen.1012215
This dataset
Open GSE299584 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 GSE299584_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 PRJNA1275014 and SRA study SRP591450. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42335169) ↗
Study design
20 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 20 sample titles: 20 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

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