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Landscape of TFs binding in mouse early embryos [RNA-seq]

GSE212567 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/03/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 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.
Summary (written by the submitters)
In mammals, early lineage specification originates from the establishment of cell polarization in early embryos, before providing the foundation for all somatic development. Although there have been heated debates about whether transcription factors (TFs) or epigenetic information plays the dominant role in cell fate decisions, the precise annotation of TFs remains largely elusive in early embryos, restricting the functional study of developmentally important TFs.
Read the full summary ↓
Here, we investigated the genome-wide landscapes of two known triggers of mouse embryo polarization: transcription factor AP-2 gamma (Tfap2c) and TEA domain transcription factor 4 (Tead4). We found that Tfap2c can bridge the connection between the promoter and the proximal enhancer, and further facilitate the functions of downstream Tead4 and Klf5 in boosting polarization. Our study also implicated that Rarg-initiated active demethylation might be a prerequisite for proper Tfap2c functioning. Furthermore, the results demonstrated that both genomic imprinting and nucleotide polymorphism can instruct TF binding, leading to allele-specific expression in early embryos. Overall, our study characterized TF dynamics during the peri-implantation stage and revealed their spatiotemporal interactions with the epigenetic environment in driving polarization and lineage specification.
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 GSE212567_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 PRJNA875960 and SRA study SRP395281. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
8Cell_Arpc1bE_CdxE1_KO ×2 8Cell_CdxE2_KO ×2 8Cell_Ctrl ×2 8Cell_siKlf5 ×2 8Cell_siTfap2c ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 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.

Samples in this study
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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.