Human iPSC-cardiomyocyte models of insulin resistance demonstrate metabolic and contractile dysfunction that recapitulates diabetic cardiomyopathy
RNA-seq (gene expression) · human · 20 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
- 20 samples
- 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
- FoxO1-zDHHC4-CD36 S-Acylation Axis Drives Metabolic Dysfunction in DiabetesCirculation research · 2025
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 GSE288708_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 PRJNA1219113 and SRA study SRP561490. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 20 more — browse all 20 samples with per-sample file links →
- GSE263297 Diabetic ischaemic cardiomyopathy: Characterising the left ventricular myocardial molecular profile in advanced human heart failure 21 samples shares cardiomyopathy, diabetic
- GSE295194 Self and parasite-derived peptides selected upon DERAA-bearing HLA-DRB1 alleles activate CD4+ T cells from Chagas cardiomyopathy patients and are associated with ventricular dysfunction 16 samples shares cardiomyopathy, dysfunction
- GSE315294 Chrysin alleviates cardiomyocyte ferroptosis of diabetic cardiomyopathy by modulating SCD1 9 samples shares cardiomyopathy, diabetic
- GSE213539 EPAS1 directs a network of genes implicated in mitochondrial dysfunction in arrhythmogenic cardiomyopathy [RNA-seq] 8 samples shares cardiomyopathy, dysfunction
- GSE282806 A three-dimensional ex vivo model recapitulates in vivo features and unravels increased drug resistance in childhood acute lymphoblastic leukemia 4 samples shares recapitulates, resistance
- GSE213541 EPAS1 directs a network of genes implicated in mitochondrial dysfunction in arrhythmogenic cardiomyopathy 9 samples shares cardiomyopathy, dysfunction
- GSE252291 Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome 279 samples shares demonstrate
- GSE305227 Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models [Quant-seq] 149 samples shares demonstrate
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.