Transient Pharmacological Inhibition of SUMOylation during Pregnancy Induces Craniofacial Malformations in Offspring Mice
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 12 × Embryo_TAK vs 6 × Embryo_CtrlGroups 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
- Transient pharmacological inhibition of SUMOylation during pregnancy induces craniofacial malformations in offspring miceEuropean journal of cell biology · 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 GSE288224_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 PRJNA1216593 and SRA study SRP560474. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 2 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8761506 Embryo_Ctrl_1 Embryo_Ctrl
- GSM8761507 Embryo_Ctrl_2 Embryo_Ctrl
- GSM8761508 Embryo_Ctrl_3 Embryo_Ctrl
- GSM8761509 Embryo_Ctrl_4 Embryo_Ctrl
- GSM8761510 Embryo_Ctrl_5 Embryo_Ctrl
- GSM8761511 Embryo_Ctrl_6 Embryo_Ctrl
- GSM8761512 Embryo_TAK_1 Embryo_TAK
- GSM8761513 Embryo_TAK_2 Embryo_TAK
- GSM8761514 Embryo_TAK_3 Embryo_TAK
- GSM8761515 Embryo_TAK_4 Embryo_TAK
- GSM8761516 Embryo_TAK_5 Embryo_TAK
- GSM8761517 Embryo_TAK_6 Embryo_TAK
- GSM8761518 Embryo_TAK_7 Embryo_TAK
- GSM8761519 Embryo_TAK_8 Embryo_TAK
- GSM8761520 Embryo_TAK_9 Embryo_TAK
- GSM8761521 Embryo_TAK_10 Embryo_TAK
- GSM8761522 Embryo_TAK_11 Embryo_TAK
- GSM8761523 Embryo_TAK_12 Embryo_TAK
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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.