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Gene-specific reactivation of X-linked genes upon Xist loss is linked to the chromatin states in extraembryonic endoderm and epiblast stem cells

GSE273917 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/01/28 Platform GPL17021Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 5 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
Lineage-specific dynamics of loss of X upregulation during inactive-X reactivationStem cell reports · 2024
Summary (written by the submitters)
In this study, we have explored the role of Xist and DNA methylation in the maintenance of X-linked gene silencing in extraembryonic endoderm and epiblast stem cells. We show that only a subset of genes are dependent on Xist and DNA methylation to maintain their inactive state. Moreover, we show that the reactivation potential of X-linked genes upon loss of Xist is connected to the epigenomic states.
Published in
Lineage-specific dynamics of loss of X upregulation during inactive-X reactivation
Naik HC, Chandel D, Majumdar S et al. · Stem cell reports 2024 · PMID 39486405 · doi:10.1016/j.stemcr.2024.10.001
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 GSE273917_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 PRJNA1144093 and SRA study SRP524095. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
△Xist-Pat ×3 WT XEN ×2 WT-AZA ×2 WT EPI ×2 △Xist ×2 △Xist-Pat-1-AZA ×1 △Xist-Pat-2-AZA ×1

Supports a between-group comparison across 11 samples.

How we read this: 5 replicated groups read from 13 sample titles; they account for 11 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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