Small-molecule-induced epigenetic rejuvenation overcomes myelinogenic barriers and stimulates myelin repair [RNA-seq]
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 8 distinct titles, 2 of them repeatedGroups 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
- Small-molecule-induced epigenetic rejuvenation promotes SREBP condensation and overcomes barriers to CNS myelin regenerationCell · 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 GSE232955_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 PRJNA974475 and SRA study SRP438695. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 11 sample titles: 8 distinct titles with little repetition. 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.
- GSM7398497 shC_48_1_2
- GSM7398498 shC_48_2_2
- GSM7398499 shH3_1_48_1_2
- GSM7398500 shH3_1_48_3
- GSM7398501 shH3-2_48-2
- GSM7398502 shH3_2_48_3
- GSM7398503 veh1
- GSM7398504 veh2
- GSM7398505 26C_48h_1
- GSM7398506 26C_48h_2
- GSM7398507 26C_48h_3
- GSE226502 Epigenetic evolution of the Ly49 gene family 65 samples shares epigenetic
- GSE226498 Epigenetic evolution of the Ly49 gene family [ATAC-Seq] 27 samples shares epigenetic
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.