Functional Optic Tract Rewiring via Subtype- and Target-specific Axonal Regeneration and Presynaptic Activity Enhancement (bulk RNA-Seq)
RNA-seq (gene expression) · mouse · 40 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
- 40 samples: 20 conditions, mostly in duplicateGroups 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
- Functional optic tract rewiring via subtype- and target-specific axonal regeneration and presynaptic activity enhancementNature communications · 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 GSE267936_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 PRJNA1113670 and SRA study SRP508799. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 40 samples.
How we read this: 20 replicated groups read from 40 sample titles; they account for 40 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.
- GSM8282012 RGC, ONC7D, rep1-1 RGC, ONC7D, rep1
- GSM8282013 RGC, OTI3D, rep2-1 RGC, OTI3D, rep2
- GSM8282014 RGC, ONC7D, rep2-1 RGC, ONC7D, rep2
- GSM8282015 RGC, OTI7D, rep1-1 RGC, OTI7D, rep1
- GSM8282016 RGC, Intact, rep2-1 RGC, Intact, rep2
- GSM8282017 RGC, ONC3D, rep3-1 RGC, ONC3D, rep3
- GSM8282018 RGC, OTI7D, rep2-1 RGC, OTI7D, rep2
- GSM8282019 RGC, ONC7D, rep3-1 RGC, ONC7D, rep3
- GSM8282020 RGC, OTI1D, rep3-1 RGC, OTI1D, rep3
- GSM8282021 RGC, OTI3D, rep3-1 RGC, OTI3D, rep3
- GSM8282022 RGC, OTI3D, rep1-1 RGC, OTI3D, rep1
- GSM8282023 RGC, ONC1D, rep3-1 RGC, ONC1D, rep3
- GSM8282024 RGC, OTI7D, rep2-2 RGC, OTI7D, rep2
- GSM8282025 RGC, Intact, rep1-1 RGC, Intact, rep1
- GSM8282026 RGC, ONC3D, rep1-1 RGC, ONC3D, rep1
- GSM8282027 RGC, OTI1D, rep1-1 RGC, OTI1D, rep1
- GSM8282028 RGC, ONC1D, rep1-1 RGC, ONC1D, rep1
- GSM8282029 RGC, ONC1D, rep2-1 RGC, ONC1D, rep2
- GSM8282030 RGC, OTI1D, rep2-1 RGC, OTI1D, rep2
- GSM8282031 RGC, ONC3D, rep2-1 RGC, ONC3D, rep2
- GSM8282032 RGC, ONC7D, rep1-2 RGC, ONC7D, rep1
- GSM8282033 RGC, OTI3D, rep2-2 RGC, OTI3D, rep2
- GSM8282034 RGC, ONC7D, rep2-2 RGC, ONC7D, rep2
- GSM8282035 RGC, OTI7D, rep1-2 RGC, OTI7D, rep1
- GSM8282036 RGC, Intact, rep2-2 RGC, Intact, rep2
- GSM8282037 RGC, ONC3D, rep3-2 RGC, ONC3D, rep3
- GSM8282038 RGC, OTI7D, rep3-1 RGC, OTI7D, rep3
- GSM8282039 RGC, ONC7D, rep3-2 RGC, ONC7D, rep3
- GSM8282040 RGC, OTI1D, rep3-2 RGC, OTI1D, rep3
- GSM8282041 RGC, OTI3D, rep3-2 RGC, OTI3D, rep3
- GSM8282042 RGC, OTI3D, rep1-2 RGC, OTI3D, rep1
- GSM8282043 RGC, ONC1D, rep3-2 RGC, ONC1D, rep3
- GSM8282044 RGC, OTI7D, rep3-2 RGC, OTI7D, rep3
- GSM8282045 RGC, Intact, rep1-2 RGC, Intact, rep1
- GSM8282046 RGC, ONC3D, rep1-2 RGC, ONC3D, rep1
- GSM8282047 RGC, OTI1D, rep1-2 RGC, OTI1D, rep1
- GSM8282048 RGC, ONC1D, rep1-2 RGC, ONC1D, rep1
- GSM8282049 RGC, ONC1D, rep2-2 RGC, ONC1D, rep2
- GSM8282050 RGC, OTI1D, rep2-2 RGC, OTI1D, rep2
- GSM8282051 RGC, ONC3D, rep2-2 RGC, ONC3D, rep2
- GSE267938 Functional optic tract rewiring via subtype- and target-specific axonal regeneration and presynaptic activity enhancement 256 samples shares target-specific, regeneration, presynaptic, enhancement, rewiring, activity, subtype
- GSE226579 Stem Cell Activity-Coupled Suppression of Endogenous Retrovirus Governs Adult Tissue Regeneration [RNA-seq] 47 samples shares regeneration, activity, rna-seq
- GSE279059 Crotonate-activated histone H3K14 crotonylation enhances intestinal regeneration after injury [RNA-seq] 25 samples shares regeneration, rna-seq
- GSE297346 The DLX2-LAP2α axis licenses ectomesenchymal specification by unlocking chromatin barriers for craniofacial regeneration [RNA-seq] 18 samples shares regeneration, rna-seq
- GSE108449 Altas of gene expression in mice liver during liver regeneration process post 2/3 partial hepatectomy using RNA-seq 18 samples shares regeneration, rna-seq
- GSE317252 Enhanced mitophagy promotes lung repair and regeneration by restoring epithelial metabolic fitness [RNA-Seq] 16 samples shares regeneration, rna-seq
- GSE326488 Ubiquitin-like proteins NEDD8 and SUMO2 control epithelial homeostasis, regeneration, and inflammation [RNA-Seq mouse] 14 samples shares regeneration, rna-seq
- GSE249088 H3K36 methylation regulates cell plasticity and regeneration in the intestinal epitheliumm (RNA-seq IV) 12 samples shares regeneration, 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.