TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaques
RNA-seq (gene expression) · mouse · 29 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
- 29 samples: 5 × Twist1 EC-WT mouse vs 4 × Twist1 EC-KO mouse vs 4 × siNT_OSS vs 4 × siT1_OSSGroups 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
- TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaquesNature communications · 2026
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 GSE293412_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 PRJNA1244375 and SRA study SRP536195. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 4 replicated groups read from 29 sample titles; they account for 17 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.
- GSM8550482 Twist1 EC-WT mouse 1 Twist1 EC-WT mouse
- GSM8550483 Twist1 EC-KO mouse 1 Twist1 EC-KO mouse
- GSM8550484 Twist1 EC-WT mouse 2 Twist1 EC-WT mouse
- GSM8550485 Twist1 EC-WT mouse 3 Twist1 EC-WT mouse
- GSM8550486 Twist1 EC-KO mouse 2 Twist1 EC-KO mouse
- GSM8550487 Twist1 EC-KO mouse 3 Twist1 EC-KO mouse
- GSM8550488 Twist1 EC-WT mouse 4 Twist1 EC-WT mouse
- GSM8550489 Twist1 EC-WT mouse 5 Twist1 EC-WT mouse
- GSM8550490 Twist1 EC-KO mouse 4 Twist1 EC-KO mouse
- GSM8881784 siNT_OSS_1 siNT_OSS
- GSM8881785 siNT_OSS_2 siNT_OSS
- GSM8881786 siNT_OSS_3 siNT_OSS
- GSM8881787 siNT_OSS_4 siNT_OSS
- GSM8881788 siT1_OSS_1 siT1_OSS
- GSM8881789 siT1_OSS_2 siT1_OSS
- GSM8881790 siT1_OSS_3 siT1_OSS
- GSM8881791 siT1_OSS_4 siT1_OSS
- GSM8881792 D1_siAebp1
- GSM8881793 D2_siAebp1
- GSM8881794 D3_siAebp1
- GSM8881795 D4_siAebp1
- GSM8881796 D1_siPelp1
- GSM8881797 D2_siPelp1
- GSM8881798 D3_siPelp1
- GSM8881799 D4_siPelp1
- GSM8881800 D1_sictrl
- GSM8881801 D2_sictrl
- GSM8881802 D3_sictrl
- GSM8881803 D4_sictrl
- GSE245373 Mice are not men: scRNA-sequencing of the human atherosclerotic plaque identifies species-specific immune cell phenotypes that associate with clinical disease 11 samples shares atherosclerotic
- GSE308359 RPL41 stabilizes ribosome dynamics and supports long-protein homeostasis in mammals 74 samples shares stabilize
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.