Human iPSC-Derived Cardiac Progenitor Cells Recapitulate Endogenous CPC Function and Offer a Rejuvenated Cell Source for Cardiac Regeneration
RNA-seq (gene expression) · human · 13 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
- 13 samples: 13 samples, each with a distinct title — no replicated groupsGroups 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 GSE329469_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 PRJNA1459305 and SRA study SRP695945. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 13 sample titles: 13 distinct titles with little repetition. 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.
- GSM9704786 C1hiPSC
- GSM9704787 C2hiPSC
- GSM9704788 C4hiPSC
- GSM9704789 C1hiPSC_CPC
- GSM9704790 C2hiPSC_CPC
- GSM9704791 C4hiPSC_CPC
- GSM9704792 C1hiPSC_CM
- GSM9704793 C2hiPSC_CM
- GSM9704794 C4hiPSC_CM
- GSM9704795 NeonatalhiPSC
- GSM9704796 NeonhiPSC_CPC
- GSM9704797 NeonatalhiPSC_CM
- GSM9704798 eCPC
- GSE334500 Psychotropic-drug and neurotransmitter perturbation RNA-seq of human iPSC-derived cardiac and retinal organoids (ToxiPred) 96 samples shares ipsc-derived, cardiac
- GSE289264 Integral approach to organelle profiling in human iPSC-derived cardiomyocytes enhances in-vitro cardiac-safety classification 54 samples shares ipsc-derived, cardiac
- GSE341748 3D Human iPSC-Derived Cardiac Organoids for Antifibrotic Drug Screening 12 samples shares ipsc-derived, cardiac
- GSE263372 Efficient and reproducible generation of human iPSC-derived cardiomyocytes and cardiac organoids in stirred suspension systems 5 samples shares ipsc-derived, cardiac
- GSE242184 In vitro pigmentation of human iPSC-derived retinal pigment epithelium cells is not indicative of their quality for cell transplantation 4022 samples shares ipsc-derived
- GSE295447 On target: Transcriptomic analysis of 12 human iPSC-derived cell phenotypes shows precision in an extensive pharmacological investigation [set 2] 840 samples shares ipsc-derived
- GSE300610 Growing iPSC-derived neuronal precursor cells (NPCs) of MT-ATP6 patients and of normal controls under physiological glucose concentrations of 4.5 mM with and without 1 µM or 10 µM Sildenafil for 6 or 24 hours. 192 samples shares ipsc-derived
- GSE287558 JAX Study 3- RNA-seq of male KOLF2.2J hiPSC-derived cortical brain organoids homozygous null for six different transcription factors 174 samples shares ipsc-derived
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.