Transcriptome and DNA methylation profiling during the NSN to SN transition in mouse oocytes
DNA methylation · mouse · 26 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Mus musculus (mouse)
- Samples
- 26 samples: 26 samples, each with a distinct title — no replicated groupsGroups 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
- Transcriptome and DNA methylation profiling during the NSN to SN transition in mouse oocytesBMC molecular and cell biology · 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 GSE274327_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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1145971 and SRA study SRP525058. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 26 sample titles: 26 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.
- GSM8447513 C-20_SN_scRNA-seq
- GSM8447514 C-19_SN_scRNA-seq
- GSM8447515 C-21_SN_scRNA-seq
- GSM8447516 C-17_SN_scRNA-seq
- GSM8447517 D-27_SN_scRNA-seq
- GSM8447518 D-16_SN_scRNA-seq
- GSM8447519 D-28_SN_scRNA-seq
- GSM8447520 D-10_SN_scRNA-seq
- GSM8447521 D-13_SN_scRNA-seq
- GSM8447522 C-16_SN_scRNA-seq
- GSM8447523 C-9_SN_scRNA-seq
- GSM8447524 C-18_SN_scRNA-seq
- GSM8447525 D-9_SN_scRNA-seq
- GSM8447526 C-13_SN_scRNA-seq
- GSM8447527 D-12_SN_scRNA-seq
- GSM8447528 C-14_SN_scRNA-seq
- GSM8447529 D-11_NSN_scRNA-seq
- GSM8447530 C-12_NSN_scRNA-seq
- GSM8447531 D-14_NSN_scRNA-seq
- GSM8447532 D-34_NSN_scRNA-seq
- GSM8447533 C-6_NSN_scRNA-seq
- GSM8447534 C-7_NSN_scRNA-seq
- GSM8447535 D-30_NSN_scRNA-seq
- GSM8447536 C-8_NSN_scRNA-seq
- GSM8447537 C-3_NSN_scRNA-seq
- GSM8447538 D-15_Inter_scRNA-seq
- GSE241388 Transcriptome analysis of oocytes and early embryos to demonstrate trancriptional regulation during mouse oocyte-to-embryo transition 32 samples shares transition, oocytes
- GSE327851 Transneuronal cytokine delivery promotes functional recovery across spinal cord contusion severities via descending circuit plasticity 9 samples shares nsn
- GSE263902 The translational landscape of mouse oocytes and preimplantation embryos revealed by high-resolution ribosome profiling 272 samples shares oocytes
- GSE288245 Long-term post-ovariectomy mouse model recapitulates hypothalamic transcriptomic changes observed during the menopausal transition in women 33 samples shares transition
- GSE296993 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [RNA-seq of mESC] 50 samples shares methylation
- GSE229238 DNA methylation constrains nucleosome retention in sperm and H3K4 methylation deposition in early mouse embryos [RNA-seq 2] 42 samples shares methylation
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares methylation
- GSE296992 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [RNA-seq of early embryo] 26 samples shares methylation
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.