VIRMA-mediated m6A modification regulates forebrain formation through facilitating ribosome biogenesis
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 6 conditions, mostly with about 4 replicates eachGroups 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
- VIRMA-mediated m(6)A modification regulates forebrain formation through modulating ribosome biogenesisScience advances · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE279759_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1174218 and SRA study SRP539229. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8579749 WT_0h_1 WT_0h
- GSM8579750 WT_0h_2 WT_0h
- GSM8579751 WT_0h_3 WT_0h
- GSM8579752 WT_0h_4 WT_0h
- GSM8579753 WT_3h_1 WT_3h
- GSM8579754 WT_3h_2 WT_3h
- GSM8579755 WT_3h_3 WT_3h
- GSM8579756 WT_3h_4 WT_3h
- GSM8579757 WT_6h_1 WT_6h
- GSM8579758 WT_6h_2 WT_6h
- GSM8579759 WT_6h_3 WT_6h
- GSM8579760 WT_6h_4 WT_6h
- GSM8579761 cKO_0h_1 cKO_0h
- GSM8579762 cKO_0h_2 cKO_0h
- GSM8579763 cKO_0h_3 cKO_0h
- GSM8579764 cKO_0h_4 cKO_0h
- GSM8579765 cKO_3h_1 cKO_3h
- GSM8579766 cKO_3h_2 cKO_3h
- GSM8579767 cKO_3h_3 cKO_3h
- GSM8579768 cKO_3h_4 cKO_3h
- GSM8579769 cKO_6h_1 cKO_6h
- GSM8579770 cKO_6h_2 cKO_6h
- GSM8579771 cKO_6h_3 cKO_6h
- GSM8579772 cKO_6h_4 cKO_6h
- GSE242272 Prostaglandin E2-EP4 signaling shapes immunosuppressive tumor microenvironment in human tumors by suppressing bioenergetics and ribosome biogenesis in infiltrating immune cells [RNA-seq] 18 samples shares biogenesis, ribosome
- GSE277835 TUT1 and USB1, the biogenesis enzymes for 2′,3′-cyclic phosphate modification at U6 snRNA 3’ end, have distinct roles in mammalian development [RNA-seq] 17 samples shares modification, biogenesis
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares modification, formation
- GSE333480 METTL3-mediated m6A modification controls Tcra recombination center formation and thymic T cell development 98 samples shares modification, formation
- GSE215762 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells 41 samples shares modification, formation
- GSE219229 Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [RNA-Seq] 180 samples shares modification
- GSE263060 Addressing the specific roles of histone modifications in transcriptional repression [RNA-seq] 105 samples shares modification
- GSE75769 Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals (ICSI) 103 samples shares biogenesis
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.