← BioTransfer GEO Dataset Finder
GEO series

CASC15 dictates vascular smooth muscle cell growth fate and pathological vascular remodeling through post-transcription regulation of mitotic fidelity

GSE336721 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/06/26 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 5 conditions, mostly with about 4 replicates eachGroups 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)
Vascular smooth muscle cell (SMC) growth, whether hyperplastic or hypertrophic, is a central determinant of vascular remodeling in cardiovascular disease, yet the molecular regulators that direct SMC toward a specific growth fate remain poorly understood. Here, we identify the long non-coding RNA CASC15 as a critical regulator of SMC growth and vascular remodeling.
Read the full summary ↓
CASC15 is enriched in the vasculature and SMC-rich tissues in humans and mice, and its locus harbors SNPs significantly associated with coronary artery disease and blood pressure. We identify a novel SMC-selective CASC15 isoform (S-CASC15) whose expression level determines SMC growth fate: elevated S-CASC15 promotes proliferation, while its loss drives hypertrophy, polyploidization, and binucleation. In vivo depletion of CASC15 limited vascular injury-induced neointima formation and atherosclerotic lesion expansion. Conversely, CASC15 overexpression exacerbates injury-induced neointimal hyperplasia. However, CASC15 KO mice exhibited spontaneous medial hypertrophy and vascular hypercontractility. Mechanistically, loss of S-CASC15 expression causes mitotic defects, followed by arrest in the G1 phase of hypertrophic and polyploid cells. We found that S-CASC15 interacts with RNA-binding proteins, including Nucleolin, to control RNA processing, splicing, and stability. Specifically, CASC15 regulates the stability of cell cycle checkpoint gene transcripts, thereby ensuring mitotic fidelity. Together, these findings establish CASC15 as a pivotal molecular switch governing the balance between hyperplastic and hypertrophic vascular remodeling and a potential therapeutic target in cardiovascular disease.
This dataset
Open GSE336721 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE336721_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1482469 and SRA study SRP712912. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 4 replicates each
Murine aortic smooth muscle cellswith Knockdo… ×4 Murine aortic smooth muscle cellswith Knockdo… ×4 Murine aortic smooth muscle cellswith Knockdo… ×4 Murine aortic smooth muscle cellswith Overexp… ×3 Murine aortic smooth muscle cellswith Knockdo… ×2 Murine aortic smooth muscle cellswith Knockdo… ×1 Murine aortic smooth muscle cellswith Knockdo… ×1 Murine aortic smooth muscle cellswith Overexp… ×1 +10 more

Supports a between-group comparison across 17 samples.

How we read this: 5 replicated groups read from 30 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.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.