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Cell fate decision by a morphogen-transcription factor-chromatin modifier axis

GSE242851 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 38 samples Submitted 2024/06/06 Platform GPL21273Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 38 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
38 samples: 38 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
Cell fate decision by a morphogen-transcription factor-chromatin modifier axisNature communications · 2024
Summary (written by the submitters)
Bulk RNA-sequences show the differences upon primitive endoderm cell related gene expression between JGES induced somatic cell reprogramming with or without BMP4 treatment, and between WT-SALL4 or delN12-SALL4 induced transdifferentiation from E13.5 mouse embryonic fibroblasts, primitive endoderm cell related gene are from our single cell RNA sequence data So as to estimate the chromatin remodeling differences between SALL4-WT and SALL4-delN12 during single factor induced PrE formation, we performed Tn5 dependent ATAC-sequence to compare the open and close chromatin of the two group.
Read the full summary ↓
In order to identify the bingding differences of SALL4 and H3K27ac level diversity between SALL4-WT and SALL4-delN12 on PrE related genes, wo performed CUTandTAG experiments. Single cell analysis provides clarity unattainable with bulk approaches. Here we apply single cell RNA-seq to a newly established mouse somatic cell reprogramming system with or without BMP4 treatment at Day 7, this reprogramming system are induced by four transcriptional factors Jdp2-Glis1-Esrrb-Sall4 or JGES and cultured in iCD3. We first show that cells could be clustered into four group, primitive endoderm cell like cells, pluripotent cells, endothelial cells, and intermediate state cells which are hard to be clarified, after BMP4 treatment, a placenta-like state arise, the percentage of endothelial cells and primitive endoderm cell like cells increase and pluripotent cells decrease sharply. Our results not only show the ability of JGES and BMP4 in different cell lineage induction but also provide a model to explore mechanisms of first and second cell lineage decision during early embryogenesis.
Published in
Cell fate decision by a morphogen-transcription factor-chromatin modifier axis
Ming J, Lin L, Li J et al. · Nature communications 2024 · PMID 39075094 · doi:10.1038/s41467-024-50144-z
This dataset
Open GSE242851 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE242851_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1015164 and SRA study SRP459661. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39075094) ↗
Study design
38 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 38 sample titles: 38 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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