Gene expression following myocardial infarction in mice with Stimulated by retinoic acid gene 6 (Stra6) germline deletion, Vitamin A deficiency, and the combination of both
RNA-seq (gene expression) · mouse · 46 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
- 46 samples: 8 conditions, mostly with about 6 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.
- Paper
- Vitamin A deficiency attenuates cardiac rupture in Stra6-deficient hearts following ischemic injuryFrontiers in cardiovascular medicine · 2025
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 GSE307187_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 PRJNA1314714 and SRA study SRP616884. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 46 samples.
How we read this: 8 replicated groups read from 46 sample titles; they account for 46 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.
- GSM9218577 Stra6-KO-MI_23 Stra6-KO-MI
- GSM9218578 Stra6-KO-MI_25 Stra6-KO-MI
- GSM9218579 Stra6-KO-MI_26 Stra6-KO-MI
- GSM9218580 Stra6-KO-MI_27 Stra6-KO-MI
- GSM9218581 Stra6-KO-MI_28 Stra6-KO-MI
- GSM9218582 Stra6-KO-Sham_15 Stra6-KO-Sham
- GSM9218583 Stra6-KO-Sham_16 Stra6-KO-Sham
- GSM9218584 Stra6-KO-Sham_17 Stra6-KO-Sham
- GSM9218585 Stra6-KO-Sham_18 Stra6-KO-Sham
- GSM9218586 Stra6-KO-Sham_19 Stra6-KO-Sham
- GSM9218587 Stra6-KO-Sham_20 Stra6-KO-Sham
- GSM9218588 Stra6_KOxVAD-MI_48 Stra6_KOxVAD-MI
- GSM9218589 Stra6_KOxVAD-MI_49 Stra6_KOxVAD-MI
- GSM9218590 Stra6_KOxVAD-MI_50 Stra6_KOxVAD-MI
- GSM9218591 Stra6_KOxVAD-MI_51 Stra6_KOxVAD-MI
- GSM9218592 Stra6_KOxVAD-MI_52 Stra6_KOxVAD-MI
- GSM9218593 Stra6_KOxVAD-MI_53 Stra6_KOxVAD-MI
- GSM9218594 Stra6_KOxVAD-Sham_42 Stra6_KOxVAD-Sham
- GSM9218595 Stra6_KOxVAD-Sham_43 Stra6_KOxVAD-Sham
- GSM9218596 Stra6_KOxVAD-Sham_44 Stra6_KOxVAD-Sham
- GSM9218597 Stra6_KOxVAD-Sham_45 Stra6_KOxVAD-Sham
- GSM9218598 Stra6_KOxVAD-Sham_46 Stra6_KOxVAD-Sham
- GSM9218599 Stra6_KOxVAD-Sham_47 Stra6_KOxVAD-Sham
- GSM9218600 VAD-MI_35 VAD-MI
- GSM9218601 VAD-MI_36 VAD-MI
- GSM9218602 VAD-MI_38 VAD-MI
- GSM9218603 VAD-MI_39 VAD-MI
- GSM9218604 VAD-MI_40 VAD-MI
- GSM9218605 VAD-MI_41 VAD-MI
- GSM9218606 VAD-Sham_29 VAD-Sham
- GSM9218607 VAD-Sham_30 VAD-Sham
- GSM9218608 VAD-Sham_31 VAD-Sham
- GSM9218609 VAD-Sham_32 VAD-Sham
- GSM9218610 VAD-Sham_33 VAD-Sham
- GSM9218611 VAD-Sham_34 VAD-Sham
- GSM9218612 WT-MI_10 WT-MI
- GSM9218613 WT-MI_11 WT-MI
- GSM9218614 WT-MI_12 WT-MI
- GSM9218615 WT-MI_13 WT-MI
- GSM9218616 WT-MI_8 WT-MI
+ 6 more — browse all 46 samples with per-sample file links →
- GSE308914 Temporal Dynamics in Murine Cardiac Transcriptome following Myocardial Infarction 30 samples shares myocardial, infarction, following
- GSE306012 Temporal inhibition of ADAM17 in fibroblasts reduces stiffness and promotes vascularization following myocardial infarction 28 samples shares myocardial, infarction, following
- GSE285626 Potent Suppression of Heme-Induced Ferroptosis in Cardiomyocytes Enhances Cardiac Function Following Myocardial Infarction/Reperfusion Injury 18 samples shares myocardial, infarction, following
- GSE252027 Temporal co-regulation of microRNA arms among cell types after myocardial infarction [RNA-Seq] 96 samples shares myocardial, infarction
- GSE306097 Distinct immunometabolic signatures of type 1 versus type 2 diabetes in a murine model of myocardial infarction 55 samples shares myocardial, infarction
- GSE282766 VEGFA Stop-gained Variant Deteriorates Cardiac Remodeling in Myocardial Infarction [RNA-seq] 43 samples shares myocardial, infarction
- GSE255933 Empagliflozin in acute myocardial infarction reduces no-reflow and preserves cardiac function by preventing endothelial damage 38 samples shares myocardial, infarction
- GSE264284 Transcriptome profiling of Gastrocnemius from mice following supplementation with the combination of nicotinamide and pyridoxine (NAM/PN) 38 samples shares combination, following
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.