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Xist RNA targets selective autosomal genes to modulate expression in a Repeat B-dependent manner [RNA-seq]

GSE271097 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2024/08/23 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 15 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.
Paper
Xist RNA binds select autosomal genes and depends on Repeat B to regulate their expressionbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Xist, a pivotal player in X chromosome inactivation (XCI), has long been perceived as a cis-acting long noncoding RNA that binds exclusively to the inactive X chromosome (Xi). However, Xist’s ability to diffuse under select circumstances has long been documented, leading us to suspect that Xist RNA may have targets and functions beyond the Xi.
Read the full summary ↓
Here, using female mouse embryonic stem cells (ES) and mouse embryonic fibroblasts (MEF) as a model, we demonstrate that Xist RNA indeed can spread beyond the Xi. However, its binding is limited to ~100 genes in differentiating ES and MEF cells. The target genes are diverse in function but are unified by their active chromatin status. Although active, Xist binding is associated with a downregulation of gene expression. Unlike on the Xi, Xist binding does not lead to full silencing and also does not spread beyond the target gene. Deleting Xist’s Repeat B (RepB) domain reduces Xist’s diffusion away from the Xi and inhibits Xist’s localization to autosomal targets. Nonetheless, Xist transcript lacking RepB fails to down-modulate autosomal gene expression. Altogether, our findings reveal Xist targets beyond the Xi and identify Repeat B as a crucial domain for its in-trans function.
Published in
Xist RNA binds select autosomal genes and depends on Repeat B to regulate their expression
Yao S, Jeon Y, Kesner B et al. · bioRxiv : the preprint server for biology 2024 · PMID 39091753 · doi:10.1101/2024.07.23.604772
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 GSE271097_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: 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 PRJNA1129839 and SRA study SRP517001. Searching any of these in the dataset finder brings you back here.

Study design
15 conditions, mostly in duplicate
MALE, ES, d0, ×2 RepB, ES, d0, ×2 WT, ES, d0, ×2 MALE, ES, d4, ×2 RepB, ES, d4, ×2 WT, ES, d4, ×2 MALE, ES, d7, ×2 RepB, ES, d7, ×2 +7 more

Supports a between-group comparison across 30 samples.

How we read this: 15 replicated groups read from 30 sample titles; they account for 30 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
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