Cardiomyocytes and stromal cells cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodeling
RNA-seq (gene expression) · human · 12 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
- 12 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
- Cardiomyocyte and stromal cell cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodellingCell death discovery · 2024
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 GSE249301_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 PRJNA1048479 and SRA study SRP475762. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Sample1 … Sample12 and carry no group information.
- GSM7933273 Sample1
- GSM7933274 Sample2
- GSM7933275 Sample3
- GSM7933276 Sample4
- GSM7933277 Sample5
- GSM7933278 Sample6
- GSM7933279 Sample7
- GSM7933280 Sample8
- GSM7933281 Sample9
- GSM7933282 Sample10
- GSM7933283 Sample11
- GSM7933284 Sample12
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- GSE269705 LMNA-Related Dilated Cardiomyopathy: Single-Cell Transcriptomics during Patient-Derived iPSC Differentiation Support Cell Type and Lineage-Specific Dysregulation of Gene Expression and Development for Cardiomyocytes and Epicardium-Derived Cells 12 samples shares cardiomyocytes, cardiomyopathy
- GSE255504 CRISPR screening using Human PSC-derived cardiomyocytes reveals TAOK1 as a potential therapeutic target for doxorubicin-induced cardiomyopathy I 6 samples shares cardiomyocytes, cardiomyopathy
- GSE262419 Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 4558 samples shares cardiomyocytes
- GSE302122 CX-5461 and Doxorubicin activate a shared DNA damage–associated transcriptional response in human cardiomyocytes 144 samples shares cardiomyocytes
- GSE249925 Human Hypertrophic Cardiomyopathy mRNA Profiling. 120 samples shares cardiomyopathy
- GSE314132 Early multi-omic signatures and machine learning models predict cardiomyocyte differentiation efficiency and enable robust hPSC differentiation to cardiomyocytes 80 samples shares cardiomyocytes
- GSE264120 Trastuzumab-associated cardiotoxicity in Patient Specific iPSC-derived cardiomyocytes from HER2+ breast cancer patients 74 samples shares cardiomyocytes
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.