← BioTransfer GEO Dataset Finder
GEO series

Elevation of caldesmon-1 is essential for the differentiation of aortic valve interstitial cells into osteoblasts.

GSE284183 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/03/25 Platform GPL29480
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 3 × VICs, Control siRNA, basal medium vs 3 × VICs, Control siRNA, Osteogenesis medium vs 3 × VICs, CALD1 siRNA, Osteogenesis mediumGroups 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
Caldesmon-1-mediated actin dynamics is essential for osteogenic differentiation of aortic valve interstitial cellsScientific reports · 2026
Summary (written by the submitters)
The molecular mechanisms underlying calcification and fibrosis in aortic valve leaflets remain unclear. This study highlights the functional roles of Caldesmon1 (CALD1), a cytoskeletal regulatory protein, in the progression of calcific aortic valve disease (CAVD), with a focus on its effect on valvular interstitial cell (VIC) behavior and osteoblast differentiation. RNA-seq analysis combined with ingenuity pathway analysis was performed to clarify the functional roles of CALD1 in aortic valve calcification.
Published in
Caldesmon-1-mediated actin dynamics is essential for osteogenic differentiation of aortic valve interstitial cells
Komoda M, Sakaue T, Nakao Y et al. · Scientific reports 2026 · PMID 41703153 · doi:10.1038/s41598-026-39938-x
This dataset
Open GSE284183 in finder → Find more human 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 GSE284183_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 PRJNA1197517 and SRA study SRP551160. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41703153) ↗
Study design
3 × VICs, Control siRNA, basal medium vs 3 × VICs, Control siRNA, Osteogenesis medium vs 3 × VICs, CALD1 siRNA, Osteogenesis medium

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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 human 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.