DNMT3b mediates TGFβ-Smad2/3 action to maintain Epiblast homeostasis upon Smad4 Loss
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 34 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 34 samples: 26 distinct titles, 8 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
- A stepwise mode of TGFβ-SMAD signaling and DNA methylation regulates naïve-to-primed pluripotency and differentiationNature communications · 2024
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 GSE240787_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1005240 and SRA study SRP454916. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 34 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.
- GSM7709274 WT_D0_Rep1
- GSM7709275 WT_D0_Rep2
- GSM7709276 WT_D4_Rep1
- GSM7709277 WT_D4_Rep2
- GSM7709278 S2/3DKO_D0_Rep1
- GSM7709279 S2/3DKO_D0_Rep2
- GSM7709280 S2/3DKO_D4_Rep1
- GSM7709281 S2/3DKO_D4_Rep2
- GSM7709282 S4KO_D0_Rep1
- GSM7709283 S4KO_D0_Rep2
- GSM7709284 S4KO_D4_Rep1
- GSM7709285 S4KO_D4_Rep2
- GSM7709286 S4KO_ES_Input
- GSM7709287 S4KO_ES_S2/3_ChIP
- GSM7709288 S4KO_EB_Input
- GSM7709289 S4KO_EB+SB_S2/3_ChIP
- GSM7709290 S4KO_EB+AC_S2/3_ChIP
- GSM8322909 WT_EB+AC_Dnmt3a_ChIP
- GSM8322910 S4KO_EB+AC_Dnmt3a_ChIP
- GSM8322911 WT_EB+AC_Dnmt3b_ChIP
- GSM8322912 S4KO_EB+AC_Dnmt3b_ChIP
- GSM8322913 E14_EB_Dnmt3b CUT&Tag_1
- GSM8322914 S4KO_EB_Dnmt3b CUT&Tag_1
- GSM8322915 E14_EB_Dnmt3b CUT&Tag_2
- GSM8322916 S4KO_EB_Dnmt3b CUT&Tag_2
- GSM8322917 E14+Dnmt3b-shRNA_EB_Dnmt3b CUT&Tag_2
- GSM8322918 S4KO+Dnmt3b-shRNA_EB_Dnmt3b CUT&Tag_2
- GSM8322919 E14-Dnmt3a-3xFlag_EB_Flag CUT&Tag
- GSM8322920 E14-Dnmt3b-3xFlag_EB_Flag CUT&Tag
- GSM8322921 S4KO_EB_S2/3 CUT&Tag
- GSM8322922 S4KO+Dnmt3b-shRNA_EB_S2/3 CUT&Tag
- GSM8322923 WT_ME_S2/3 CUT&Tag
- GSM8322924 S4KO_ME_S2/3 CUT&Tag
- GSM8502186 E14_EB_D4_ATAC
- GSE240786 The binding sites of SMAD2/3, Dnmt3a and Dnmt3b in pluripotent mESC, EBs and ME when Smad4 is lost with or without Dnmt3b knockdown 22 samples shares dnmt3b, smad2, smad4
- GSE315433 Versatile SMAD2 and SMAD3 epitope-tagged mouse models for genome-wide profiling of TGFβ superfamily signaling: uncovering novel GDF9-SMAD2/3 target genes 44 samples shares smad2, tgf
- GSE296094 Genomic stratification based on SMAD4 in pancreatic cancer reveals biological implications of aberrant TGFβ signaling and susceptibility to TGFβ inhibition 20 samples shares smad4, tgf
- GSE240785 RNAseq of SMAD2/3DKO and Smad4KO in pluripotent mESC and EBs 12 samples shares smad2, smad4
- GSE229996 ChIP-seq analysis of the TGF-b1-treated intestinal organoids with or without Smad4 loss 6 samples shares smad4, tgf
- GSE254915 TGF-β signaling mediates microglial resilience to age-dependent dorsal column myelin alterations 36 samples shares tgf, mediates
- GSE241180 Fibroblast-specific TGF-b signaling mediates dysfunction, fibrosis and hypertrophy in a mouse model of obesity-associated type 2 diabetes 27 samples shares tgf, mediates
- GSE241176 Fibroblast-specific TGF-b signaling mediates dysfunction, fibrosis and hypertrophy in a mouse model of obesity-associated type 2 diabetes [RNA-seq: Smad3 in dbdb] 12 samples shares tgf, mediates
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.