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Converged Epitranscriptomic Co-regulation of TGFβ Signaling Components Suppresses the Quiescence Transition of Early Postnatal Hippocampal Neural Stem Cells

GSE266096 Mus musculus (mouse) DNA methylation 33 samples Submitted 2024/08/26 Platform GPL24247
At a glance

DNA methylation · mouse · 33 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
33 samples: 11 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)
Quiescence acquisition of proliferating neural stem cells (NSCs) is required to establish the adult NSC pool yet the underlying molecular mechanisms are not well-understood. Here we showed that conditional deletion of the m6A reader Ythdf2, which promotes mRNA decay, in proliferating NSCs in the early postnatal mouse hippocampus led to elevated quiescence acquisition with decreased neurogenesis.
Read the full summary ↓
Multimodal profiling of m6A modification, YTHDF2 binding, and mRNA decay in hippocampal NSCs identified shared targets in multiple TGFβ signaling pathway components, including TGFβ ligands, maturation factors, receptors, transcription regulators, and signaling regulators. Functionally, Ythdf2 deletion led to TGFβ signaling activation in NSCs, suppression of which rescued elevated quiescence acquisition of proliferating hippocampal NSCs. Our study reveals the dynamic nature and critical roles of mRNA decay in establishing the quiescent adult hippocampal NSC pool and uncovers a novel mode of epitranscriptomic control via co-regulation of multiple components of the same signaling pathway.
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 GSE266096_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1105871 and SRA study SRP504584. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly in triplicate
NSCs, Ythdf2-cKO, 0 hour post Actinomydin D, … ×3 NSCs, Ythdf2-cKO, 2 hour post Actinomydin D, … ×3 NSCs, Ythdf2-cKO, 4 hour post Actinomydin D, … ×3 NSCs, Ythdf2-WT, 0 hour post Actinomydin D, R… ×3 NSCs, Ythdf2-WT, 2 hour post Actinomydin D, R… ×3 NSCs, Ythdf2-WT, 4 hour post Actinomydin D, R… ×3 NSCs, Ythdf2-WT, m6A-IP-seq Input , ×3 NSCs, Ythdf2-WT, m6A-IP-seq m6A , ×3 +3 more

Supports a between-group comparison across 33 samples.

How we read this: 11 replicated groups read from 33 sample titles; they account for 33 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.