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Chromatin Landscape Instructs Precise Transcription Factor Regulome during Embryonic Lineage Specification [RNA-seq]

GSE250177 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/04/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
12 samples
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
Chromatin landscape instructs precise transcription factor regulome during embryonic lineage specificationCell reports · 2024
Summary (written by the submitters)
Embryos originate from fertilized eggs and are shaped through continuous cell division and differentiation, accompanied by dramatic changes in transcription, translation, and metabolism. Epigenetic information and transcription factors (TFs) play indispensable roles in regulating these processes. Recently, the trophoblast regulator TFAP2C was found to be essential in initiating the earliest cell fate decisions.
Read the full summary ↓
However, Tfap2c transcripts are still detectable in both the inner cell mass (ICM) and trophectoderm (TE) of blastocysts, raising questions regarding how TFAP2C functions once these two lineages are established. In this study, we delineated the dynamics of TFAP2C during the mouse peri-implantation stage and elucidated its collaboration with the key lineage regulators CDX2 and NANOG. Importantly, we proposed that de novo formation of H3K9me3 in the extraembryonic ectoderm during implantation antagonizes TFAP2C binding to crucial developmental genes, thereby maintaining its lineage identity. Together, this research highlights the plasticity of the epigenetic environment in designating the genomic binding of highly adaptable lineage-specific TFs and regulating embryonic cell fates.
Published in
Chromatin landscape instructs precise transcription factor regulome during embryonic lineage specification
Wang L, Yi S, Cui X et al. · Cell reports 2024 · PMID 38643480 · doi:10.1016/j.celrep.2024.114136
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 GSE250177_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1052607 and SRA study SRP477943. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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