Reprogramming of H3K36me2 guides lineage- and locus-specific post-implantation DNA methylation [RNA-Seq]
DNA methylation · mouse · 68 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Mus musculus (mouse)
- Samples
- 68 samples: 24 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
- Reprogramming of H3K36me2 guides lineage-specific post-implantation de novo DNA methylationNature 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 GSE273316_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 PRJNA1141418 and SRA study SRP522825. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 60 samples.
How we read this: 24 replicated groups read from 68 sample titles; they account for 60 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.
- GSM8426317 RNA_amanitin_2C_rep1 RNA_amanitin_2C
- GSM8426318 RNA_amanitin_2C_rep2 RNA_amanitin_2C
- GSM8426319 RNA_ctrl_8C_rep1 RNA_ctrl_8C
- GSM8426320 RNA_ctrl_8C_rep2 RNA_ctrl_8C
- GSM8426321 APH_2C_rep1 APH_2C
- GSM8426322 APH_2C_rep2 APH_2C
- GSM8426323 DMSO_8C_rep1 DMSO_8C
- GSM8426324 DMSO_8C_rep2 DMSO_8C
- GSM8426325 E35_Ctrl_single_Bl1_1st_RNA
- GSM8426326 E35_Ctrl_single_Bl3_1st_RNA
- GSM8426327 E35_Ctrl_single_Bl3_3rd_RNA
- GSM8426328 E35_Ctrl_single_Bl5_3rd_RNA
- GSM8426329 E35_KO_single_Bl1_1st_RNA
- GSM8426330 E35_KO_single_Bl2_3rd_RNA
- GSM8426331 E35_KO_single_Bl4_3rd_RNA
- GSM8426332 E35_KO_single_Bl5_1st_RNA
- GSM8426333 E65Epi_Ctrl_RNA_rep1 E65Epi_Ctrl_RNA
- GSM8426334 E65Epi_Ctrl_RNA_rep2 E65Epi_Ctrl_RNA
- GSM8426335 E65Epi_Ctrl_RNA_rep3 E65Epi_Ctrl_RNA
- GSM8426336 E65Epi_Ctrl_RNA_rep4 E65Epi_Ctrl_RNA
- GSM8426337 E65Epi_Ctrl_RNA_rep5 E65Epi_Ctrl_RNA
- GSM8426338 E65Epi_KO_RNA_rep1 E65Epi_KO_RNA
- GSM8426339 E65Epi_KO_RNA_rep2 E65Epi_KO_RNA
- GSM8426340 E65Epi_KO_RNA_rep3 E65Epi_KO_RNA
- GSM8426341 E65Epi_KO_RNA_rep4 E65Epi_KO_RNA
- GSM8426342 E65Epi_KO_RNA_rep5 E65Epi_KO_RNA
- GSM8426343 E65ExE_Ctrl_RNA_rep1 E65ExE_Ctrl_RNA
- GSM8426344 E65ExE_Ctrl_RNA_rep2 E65ExE_Ctrl_RNA
- GSM8426345 E65ExE_Ctrl_RNA_rep3 E65ExE_Ctrl_RNA
- GSM8426346 E65ExE_Ctrl_RNA_rep4 E65ExE_Ctrl_RNA
- GSM8426347 E65ExE_Ctrl_RNA_rep5 E65ExE_Ctrl_RNA
- GSM8426348 E65ExE_KO_RNA_rep1 E65ExE_KO_RNA
- GSM8426349 E65ExE_KO_RNA_rep2 E65ExE_KO_RNA
- GSM8426350 E65ExE_KO_RNA_rep3 E65ExE_KO_RNA
- GSM8426351 E65ExE_KO_RNA_rep4 E65ExE_KO_RNA
- GSM8426352 E65ExE_KO_RNA_rep5 E65ExE_KO_RNA
- GSM8426353 E85_Ctrl_ExE_RNA_rep1 E85_Ctrl_ExE_RNA
- GSM8426354 E85_Ctrl_ExE_RNA_rep2 E85_Ctrl_ExE_RNA
- GSM8426355 E85_Ctrl_headfold_RNA_rep1 E85_Ctrl_headfold_RNA
- GSM8426356 E85_Ctrl_headfold_RNA_rep2 E85_Ctrl_headfold_RNA
+ 28 more — browse all 68 samples with per-sample file links →
- GSE312828 Integrated stress response couples mitochondrial fitness with lineage reprogramming to drive cancer evolution. [RNA-Seq] 24 samples shares reprogramming, lineage, rna-seq
- GSE266451 Single-cell analysis of bidirectional reprogramming between early embryonic states reveals mechanisms of differential lineage plasticities [RNA-Seq] 21 samples shares reprogramming, lineage, rna-seq
- GSE247845 FoxA1/2-dependent epigenomic reprogramming drives lineage switching in lung adenocarcinoma [RNA-Seq] 20 samples shares reprogramming, lineage, rna-seq
- GSE268822 Transcriptional landscapes underlying Notch-induced lineage conversion and reprogramming of mammary cells 840 samples shares reprogramming, lineage
- GSE222745 Enhanced activities of OCT4 and SOX2 facilitates epigenetic reprogramming by modulating cell cycle [scRNA-Seq] 422 samples shares reprogramming, rna-seq
- GSE264086 Understanding and reversing mammary tumour-driven reprogramming of myelopoieisis to reduce metastatic spread [bulk RNA-seq] 100 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
- 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
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.