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RNA-seq analysis of PAPD5 inhibitor effects in expanded human induced pluripotent stem cell-derived cardiomyocytes

GSE314271 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2026/06/11 Platform GPL24676
At a glance

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: 5 × E-CM vs 3 × N-CM vs 3 × E-CM-B vs 2 × N-CM-BGroups 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
Senescence modulated cardiac repair with pluripotent stem cell-derived cardiomyocytesStem cell research & therapy · 2026
Summary (written by the submitters)
Human induced pluripotent stem cells (hiPSCs) were differentiated into cardiomyocytes using a conventional monolayer protocol to generate non-expanded cardiomyocytes (N-CMs). A subset of cardiomyocytes was further replated and cultured in the presence of CHIR99021 to generate expanded cardiomyocytes (E-CMs). During the expansion phase, E-CMs were treated with the PAPD5 inhibitor BCH001 (E-CM-B) or RG7834 (E-CM-R) to prevent cellular senescence.
Read the full summary ↓
RNA sequencing was performed to characterize transcriptional differences associated with senescence and mitochondrial maturation. Treatment with BCH001 during cardiomyocyte expansion attenuated the expression of senescence-associated markers and promoted gene expression profiles consistent with mitochondrial maturation. This dataset provides transcriptomic insights into the molecular effects of PAPD5 inhibition on expanded hiPSC-derived cardiomyocytes.
Published in
Senescence modulated cardiac repair with pluripotent stem cell-derived cardiomyocytes
Zhao J, Kadota S, Ichimura H et al. · Stem cell research & therapy 2026 · PMID 42271510 · doi:10.1186/s13287-026-05062-w
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314271_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1390643 and SRA study SRP656367. Searching any of these in the dataset finder brings you back here.

Study design
5 × E-CM vs 3 × N-CM vs 3 × E-CM-B vs 2 × N-CM-B

Supports a between-group comparison across 13 samples.

How we read this: 4 replicated groups read from 13 sample titles; they account for 13 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.

Samples in this study
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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.