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Pathogenic mechanism and therapeutic intervention of impaired N7-methylguanosine (m7G) tRNA modification [RNC seq]

GSE229240 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/10/16 Platform GPL30215
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: 3 × Input_WT vs 3 × Input_Homo vs 3 × RNC_WT vs 3 × RNC_HomoGroups 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)
The tRNA N7-methylguanosine (m7G) modification is not essential for yeast growth, but in mammals mis-regulations of tRNA m7G modification cause stem cell defect and developmental disorders. Here we found that homozygous mutated WDR4 caused microcephaly, retardation in motor coordination and spatial learning ability in mice, which mimics the symptom in human patients with WDR4 mutation.
Read the full summary ↓
Further analysis revealed that homozygous mutation of WDR4 impaired tRNA m7G modification and reduced the translation level of genes involved in mTOR signaling pathway in mouse brain, which further caused endoplasmic reticulum (ER) stress and cell death. Our study uncovered a new layer of translation regulation mechanism mediated by tRNA m7G modification, provided strong evidence to support the important physiological function of mis-regulated tRNA modification in neuron disorders.
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 GSE229240_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 PRJNA953621 and SRA study SRP431600. Searching any of these in the dataset finder brings you back here.

Study design
3 × Input_WT vs 3 × Input_Homo vs 3 × RNC_WT vs 3 × RNC_Homo

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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