METTL3 governs thymocyte development and thymic involution by regulating ferroptosis
RNA-seq (gene expression) · mouse · 35 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
- 35 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
- METTL3 governs thymocyte development and thymic involution by regulating ferroptosisNature aging · 2024
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 GSE271324_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 PRJNA1130936 and SRA study SRP517574. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 35 more — browse all 35 samples with per-sample file links →
- GSE333480 METTL3-mediated m6A modification controls Tcra recombination center formation and thymic T cell development 98 samples shares mettl3, thymic
- GSE285781 MSCs can alleviate ferroptosis and improve DKD through the Smad2/3/METTL3/S1PR1 axis. 15 samples shares mettl3, ferroptosis
- GSE309052 The TCR-SUB1-DOCK2 Signaling Axis Governs Autoimmunity by Regulating CD4+ T Cell Migratory Capacity 14 samples shares regulating, governs
- GSE313112 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq MC38] 69 samples shares mettl3
- GSE293208 Stage-specific requirement for Mettl3-dependent m6A epitranscriptomic regulation during myogenesis [RNA-Seq] 26 samples shares mettl3
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares mettl3
- GSE315612 Yiqi Huoxue Yangyin Decoction alleviates diabetic nephropathy by attenuating podocyte injury via the METTL3-m6A-mTOR pathway to activate autophagy 12 samples shares mettl3
- GSE252044 METTL3 in Diabetic Cardiomyopathy 11 samples shares mettl3
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.