STAT3 signalling drives tissue expansion during postimplantation mouse development [RNA-seq]
RNA-seq (gene expression) · mouse · 39 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
- 39 samples: 8 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.
- Paper
- STAT3 signaling enhances tissue expansion during postimplantation mouse developmentCell reports · 2025
Read the full summary ↓
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 GSE254697_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: 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 PRJNA1071539 and SRA study SRP487105. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 39 samples.
How we read this: 8 replicated groups read from 39 sample titles; they account for 39 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.
- GSM8049004 E5.5_Stat3null_1 E5.5_Stat3null
- GSM8049005 E5.5_Stat3null_2 E5.5_Stat3null
- GSM8049006 E5.5_Stat3null_3 E5.5_Stat3null
- GSM8049007 E5.5_Stat3null_4 E5.5_Stat3null
- GSM8049008 E5.5_WT_1 E5.5_WT
- GSM8049009 E5.5_WT_2 E5.5_WT
- GSM8049010 E6.5_Stat3null_1 E6.5_Stat3null
- GSM8049011 E6.5_Stat3null_2 E6.5_Stat3null
- GSM8049012 E6.5_Stat3null_3 E6.5_Stat3null
- GSM8049013 E6.5_Stat3null_4 E6.5_Stat3null
- GSM8049014 E6.5_Stat3null_5 E6.5_Stat3null
- GSM8049015 E6.5_Stat3null_6 E6.5_Stat3null
- GSM8049016 E6.5_Stat3null_7 E6.5_Stat3null
- GSM8049017 E6.5_Stat3null_8 E6.5_Stat3null
- GSM8049018 E6.5_WT_1 E6.5_WT
- GSM8049019 E6.5_WT_2 E6.5_WT
- GSM8049020 E6.5_WT_3 E6.5_WT
- GSM8049021 E6.5_WT_4 E6.5_WT
- GSM8049022 E6.5_WT_5 E6.5_WT
- GSM8049023 E6.5_WT_6 E6.5_WT
- GSM8049024 E6.5_WT_7 E6.5_WT
- GSM8049025 E6.5_WT_8 E6.5_WT
- GSM8049026 E6.5_WT_9 E6.5_WT
- GSM8049027 E7.5_Stat3null_1 E7.5_Stat3null
- GSM8049028 E7.5_Stat3null_2 E7.5_Stat3null
- GSM8049029 E7.5_Stat3null_3 E7.5_Stat3null
- GSM8049030 E7.5_WT_1 E7.5_WT
- GSM8049031 E7.5_WT_2 E7.5_WT
- GSM8049032 E7.5_WT_3 E7.5_WT
- GSM8049033 E7.5_WT_4 E7.5_WT
- GSM8049034 E7.5_WT_5 E7.5_WT
- GSM8049035 E7.5_WT_6 E7.5_WT
- GSM8049036 E7.5_WT_7 E7.5_WT
- GSM8049037 E7.5_WT_8 E7.5_WT
- GSM8049038 E7.5_WT_9 E7.5_WT
- GSM8049039 Stat3null_EpiSC_2 Stat3null_EpiSC
- GSM8049040 Stat3null_EpiSC_6 Stat3null_EpiSC
- GSM8049041 WT_EpiSC_8 WT_EpiSC
- GSM8049042 WT_EpiSC_13 WT_EpiSC
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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.