TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaques [AEBP1 RNA-Seq]
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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 GSE293411_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 PRJNA1244383 and SRA study SRP575467. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- 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
- GSE293410 TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaques [Twist1 RNA-Seq] 8 samples shares twist1, endothelial-to-mesenchymal-transition, atherosclerotic, stabilize, plaques, rna-seq, drives
- GSE319741 TWIST1 mediated transcriptional activation of SPON2 drives colorectal peritoneal metastasis through stromal cell signaling network 28 samples shares twist1, drives
- GSE311535 RNA-seq of human atherosclerotic carotid plaque tissue from diabetic patients 12 samples shares atherosclerotic, rna-seq
- GSE224273 Single-cell immune landscape of human atherosclerotic plaques 9 samples shares atherosclerotic, plaques
- GSE233402 mRNA and lncRNA expression profiling of human atherosclerotic plaques 13 samples shares atherosclerotic, plaques
- GSE270902 Twist1-induced suppression of oncogene-induced senescence in non-small cell lung cancer requires the transactivation domain of Twist1 12 samples shares twist1
- GSE272835 A novel USP4 inhibitor suppresses colorectal cancer stemness and enhances chemotherapy sensitivity by promoting the degradation of β-catenin and Twist1 8 samples shares twist1
- GSE288105 AEBP1-GLI1 pathway attenuates the FACT complex dependency of bladder cancer cell survival. 6 samples shares aebp1
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.