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The binding sites of SMAD2/3, Dnmt3a and Dnmt3b in pluripotent mESC, EBs and ME when Smad4 is lost with or without Dnmt3b knockdown

GSE240786 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2024/10/21 Platform GPL34290Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 22 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
22 samples: 20 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
A stepwise mode of TGFβ-SMAD signaling and DNA methylation regulates naïve-to-primed pluripotency and differentiationNature communications · 2024
Summary (written by the submitters)
To understand the genome wide binding profile of SMAD2/3 when SMAD4 is lost, Smad2/3 ChIPseq was performed in SMAD4 knockout (S4KO) mouse embryonic stem cells (mESC) or in S4KO embryonic bodies (EBs). To figure out the effect of Dnmt3b on SMAD2/3 binding ability in the absence of SMAD4, we further performed SMAD2/3 CUT&Tag in EBs of S4KO and S4KO with Dnmt3b konckdown, as well as in mesendoderm (ME) stage of WT and S4KO.
Read the full summary ↓
The binding sites of Dnmt3a and Dnmt3b were explored by Dnmt3a or Dnmt3b ChIP-seq and Dnmt3b CUT&Tag in WT EBs and S4KO EBs. WT with Dnmt3b knockdown and S4KO with Dnmt3b knockdown were used to as a control for the Dnmt3b CUT&Tag. Besides, we inserted a 3xFlag-tag at the C-terminus of Dnmt3a or Dnmt3b and then carried out Flag CUT&Tag in EBs.
Published in
A stepwise mode of TGFβ-SMAD signaling and DNA methylation regulates naïve-to-primed pluripotency and differentiation
Zhao B, Yu X, Shi J et al. · Nature communications 2024 · PMID 39578449 · doi:10.1038/s41467-024-54433-5
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE240786_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1005248 and SRA study SRP454946. Searching any of these in the dataset finder brings you back here.

Study design
20 distinct titles, 2 of them repeated
E14_EB_Dnmt3b CUT&Tag ×2 S4KO_EB_Dnmt3b CUT&Tag ×2

How we read this: Read from 22 sample titles: 20 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.

Samples in this study
Datasets on a similar topic

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