Diabetic ischaemic cardiomyopathy: Characterising the left ventricular myocardial molecular profile in advanced human heart failure
RNA-seq (gene expression) · human · 21 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
- 21 samples: 7 × ICMDM vs 7 × ICMNoDM vs 7 × DonoGroups 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
- Left ventricular myocardial molecular profile of human diabetic ischaemic cardiomyopathyEMBO molecular medicine · 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 GSE263297_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 PRJNA1096663 and SRA study SRP500055. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 3 replicated groups read from 21 sample titles; they account for 21 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.
- GSM8189271 ICMDM_7 ICMDM
- GSM8189272 ICMDM_8 ICMDM
- GSM8189273 ICMDM_9 ICMDM
- GSM8189274 ICMDM_10 ICMDM
- GSM8189275 ICMDM_11 ICMDM
- GSM8189276 ICMDM_13 ICMDM
- GSM8189277 ICMDM_14 ICMDM
- GSM8189278 ICMNoDM_8 ICMNoDM
- GSM8189279 ICMNoDM_10 ICMNoDM
- GSM8189280 ICMNoDM_11 ICMNoDM
- GSM8189281 ICMNoDM_13 ICMNoDM
- GSM8189282 ICMNoDM_14 ICMNoDM
- GSM8189283 ICMNoDM_15 ICMNoDM
- GSM8189284 ICMNoDM_16 ICMNoDM
- GSM8189285 Donor_12 Dono
- GSM8189286 Donor_14 Dono
- GSM8189287 Donor_15 Dono
- GSM8189288 Donor_16 Dono
- GSM8189289 Donor_17 Dono
- GSM8189290 Donor_18 Dono
- GSM8189291 Donor_20 Dono
- GSE288708 Human iPSC-cardiomyocyte models of insulin resistance demonstrate metabolic and contractile dysfunction that recapitulates diabetic cardiomyopathy 20 samples shares cardiomyopathy, diabetic
- GSE289628 EPAS1 induction drives myocardial degeneration in Desmoplakin-cardiomyopathy [RNA-seq] 16 samples shares cardiomyopathy, myocardial
- 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, ventricular
- GSE270258 Abnormal circadian rhythms exacerbate dilated cardiomyopathy by reducing the ventricular mechanical strength 16 samples shares cardiomyopathy, ventricular
- GSE191120 Next Generation Sequencing Facilitates Quantitative Analysis of Hypertrophic Cardiomyopathy/Healthy control Left Ventricular Transcriptomes 10 samples shares cardiomyopathy, ventricular
- GSE315294 Chrysin alleviates cardiomyocyte ferroptosis of diabetic cardiomyopathy by modulating SCD1 9 samples shares cardiomyopathy, diabetic
- GSE335944 Transcriptome Analysis Identifies Proteostasis and Cell Survival Pathway Disruption in Peripartum Cardiomyopathy, Leading to Heart Failure 4 samples shares cardiomyopathy, failure
- GSE57345 RNA-Seq Identifies Novel Myocardial Gene Expression Signatures of Heart Failure 319 samples shares myocardial, failure
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.