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SRRM2 splicing factor modulates cell fate in early development [RNA-Seq]

GSE243431 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/04/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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
SRRM2 splicing factor modulates cell fate in early developmentBiology open · 2024
Summary (written by the submitters)
Srrm2 splicing factor is a novel gene implicated in developmental disorders and diseases. However, the role of Srrm2 in early mammalian development remains unexplored. Here, we show that Srrm2 expression dosage is critical for maintaining embryonic stem cell pluripotency and cell identity. Srrm2 heterozygosity promotes loss of stemness characterized by the coexistence of cells expressing naive and formative markers, together with large gene expression shifts, including in serum-response transcription factor targets and differentiation-related genes.
Read the full summary ↓
Depletion of Srrm2 by RNA interference in embryonic stem cells identified splicing misregulation of specific genes, often linked to exon skipping. These results show that Srrm2 dosage is key in controlling stemness and cell fate decisions. Our findings unveil Srrm2’s molecular and cellular implications in development, shedding light on the involvement of splicing regulators in early embryogenesis, developmental diseases and tumorigenesis.
Published in
SRRM2 splicing factor modulates cell fate in early development
Carvalho S, Zea-Redondo L, Tang TCC et al. · Biology open 2024 · PMID 38656788 · doi:10.1242/bio.060415
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 GSE243431_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 PRJNA1018487 and SRA study SRP461558. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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