Transcriptome analysis of human coronary artery smooth muscle cells under pro-differentiation and pro-dedifferentiation treatments
RNA-seq (gene expression) · human · 15 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
- 15 samples: 5 conditions, mostly in triplicateGroups 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.
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 GSE311133_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 PRJNA1364772. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM9317515 RNA-seq of HCASMC: control, replicate 1 control,
- GSM9317516 RNA-seq of HCASMC: control, replicate 2 control,
- GSM9317517 RNA-seq of HCASMC: control, replicate 3 control,
- GSM9317518 RNA-seq of HCASMC: PDGF-BB treatment, replicate 1 PDGF-BB treatment,
- GSM9317519 RNA-seq of HCASMC: PDGF-BB treatment, replicate 2 PDGF-BB treatment,
- GSM9317520 RNA-seq of HCASMC: PDGF-BB treatment, replicate 3 PDGF-BB treatment,
- GSM9317521 RNA-seq of HCASMC: Repsox treatment, replicate 1 Repsox treatment,
- GSM9317522 RNA-seq of HCASMC: Repsox treatment, replicate 2 Repsox treatment,
- GSM9317523 RNA-seq of HCASMC: Repsox treatment, replicate 3 Repsox treatment,
- GSM9317524 RNA-seq of HCASMC: control for IL-1b treatment, replicate 1 control for IL-1b treat…
- GSM9317525 RNA-seq of HCASMC: control for IL-1b treatment, replicate 2 control for IL-1b treat…
- GSM9317526 RNA-seq of HCASMC: control for IL-1b treatment, replicate 3 control for IL-1b treat…
- GSM9317527 RNA-seq of HCASMC: IL-1b treatment, replicate 1 IL-1b treatment,
- GSM9317528 RNA-seq of HCASMC: IL-1b treatment, replicate 2 IL-1b treatment,
- GSM9317529 RNA-seq of HCASMC: IL-1b treatment, replicate 3 IL-1b treatment,
- GSE288136 The 9p21.3 coronary artery disease risk locus drives vascular smooth muscle cells to an osteochondrogenic state 8 samples shares coronary, artery, smooth, muscle
- GSE310361 Gain- and loss-of-function RNA-seq analysis reveals DDIT4-driven transcriptional programs in human coronary artery smooth muscle cells 8 samples shares coronary, artery, smooth, muscle
- GSE279298 Comprehensive identification of coronary artery disease-associated variants regulating vascular smooth muscle cell gene expression [CUT&RUN] 48 samples shares coronary, artery, smooth, muscle
- GSE311116 DDIT4 overexpression reshapes the histone modification landscape in human coronary artery smooth muscle cells: an H3K9ac and H3K27ac CUT&Tag study 12 samples shares coronary, artery, smooth, muscle
- GSE246269 Gene perturbation in human arterial smooth muscle cells under treatments promoting synthetic or contractile phenotype 55 samples shares treatments, smooth, muscle
- GSE316714 Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk [RNA-seq] 6 samples shares coronary, smooth, muscle
- GSE316713 Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk [ChIP-seq] 3 samples shares coronary, smooth, muscle
- GSE279783 Autoreactive effector Treg cells with a compromised regulatory program in patients with coronary artery disease 144 samples shares coronary, artery
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.