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Forced expression of MSR repeat transcripts breaks heterochromatin organization

GSE262294 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/03/23 Platform GPL21493
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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)
Mouse heterochromatin is characterized by transcriptionally competent major satellite repeat (MSR) sequences and it has been proposed that MSR repeat RNA contributes to the integrity of heterochromatin. We established an inducible dCas9-effector system in mouse embryonic fibroblasts, where we can target dCas9-VPR (transcriptional activator) and dCas9-KM (transcriptional repressor) to MSR repeat sequences.
Read the full summary ↓
We show that induction of dCas9-VPR forces significant MSR RNA output, while induction of dCas9-KM silences MSR transcription. Both approaches perturb heterochromatin organization, where the dCas9-VPR leads to an immediate dispersion of heterochromatin and dCas9-KM induction results in a delayed aggregation of heterochromatin. MEF cells with the forced expression of MSR RNA are not viable and the defects in heterochromatin organization cannot be reverted. This study highlights the importance of restricting MSR RNA output to maintain heterochromatin integrity and also reveals that the structural organization of heterochromatin is governed by the transcriptional state of the underlying MSR repeats.
This dataset
Open GSE262294 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 GSE262294_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 PRJNA1091166 and SRA study SRP497362. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
dCas9-control MEF, uninduced, ×3 dCas9-control MEF, induced, ×3 dCas9-repressor MEF, uninduced, ×3 dCas9-repressor MEF, induced, ×3 dCas9-activator MEF, uninduced, ×3 dCas9-activator MEF, induced, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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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