m6A epitranscriptome regulates axonogenesis and reprogramming of retinal ganglion cells [RNA-seq]
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 × Ctrl_OE vs 3 × Mettl3_OE vs 3 × Ctrl_shRNA vs 3 × Mettl3_shRNAGroups 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
- Mettl3 promotes reprogramming and axonogenesis of induced retinal ganglion cellsStem cell reports · 2026
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 GSE305554_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 PRJNA1306497 and SRA study SRP609102. Searching any of these in the dataset finder brings you back here.
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.
- GSM9179288 Ctrl_OE-1 Ctrl_OE
- GSM9179289 Ctrl_OE-2 Ctrl_OE
- GSM9179290 Ctrl_OE-3 Ctrl_OE
- GSM9179291 Mettl3_OE-1 Mettl3_OE
- GSM9179292 Mettl3_OE-2 Mettl3_OE
- GSM9179293 Mettl3_OE-3 Mettl3_OE
- GSM9179294 Ctrl_shRNA-1 Ctrl_shRNA
- GSM9179295 Ctrl_shRNA-2 Ctrl_shRNA
- GSM9179296 Ctrl_shRNA-3 Ctrl_shRNA
- GSM9179297 Mettl3_shRNA-1 Mettl3_shRNA
- GSM9179298 Mettl3_shRNA-2 Mettl3_shRNA
- GSM9179299 Mettl3_shRNA-3 Mettl3_shRNA
- GSE59739 RNA-Seq of single cells from the mouse lumbar dorsal root ganglion 864 samples shares ganglion, rna-seq
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- GSE287483 Competing dynamic gene regulatory networks involved in fibroblast reprogramming to haematopoietic progenitor cells [RNA-Seq] 12 samples shares reprogramming, rna-seq
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares reprogramming, rna-seq
- GSE302786 Metabolic reprogramming drives pancreatic β cell neogenesis from α cells [RNA-Seq] 9 samples shares reprogramming, rna-seq
- GSE325692 Multi-omic analysis reveals brain-blood concordance and persistent neuroimmune reprogramming with stress and toxicant exposure in a mouse model of Gulf War Illness [RNA-Seq] 30 samples shares reprogramming, rna-seq
- GSE270509 In vivo CRISPR screen reveals interplay of epigenetic regulators underlies kinetics of hepatobiliary reprogramming [RNA-Seq] 27 samples shares reprogramming, rna-seq
- GSE304040 Decoupling oxidative resilience from reprogramming to rejuvenate the RPE and restore vision [GSTA4_RNA-seq_3] 24 samples shares reprogramming, rna-seq
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.