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Efficient generation of human retinal pigment epithelium cells via chemically induced pluripotency

GSE267656 Homo sapiens (human) RNA-seq (gene expression) 39 samples Submitted 2025/05/01 Platform GPL23227Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 39 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
39 samples: 13 conditions, mostly in triplicateGroups 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
A Chemical Reprogramming Approach Efficiently Producing Human Retinal Pigment Epithelium Cells for Retinal Disease TherapiesCell proliferation · 2025
Summary (written by the submitters)
The eye is an ideal target organ for Human induced pluripotent stem cells (hiPSCs)-based cellular therapies. However, the application of hiPSCs in ocular disease treatment is still challenging because the production of clinical-grade autologous hiPSCs via genetic techniques remains expensive, time-consuming, and subject to safety concerns.
Read the full summary ↓
Addressing these challenges, our study utilized a recently reported chemical method to derive human chemically induced pluripotent stem cells (hCiPSCs), which simplified the reprogramming process by using small molecules, offering a more straightforward and potentially safer alternative to derive hiPSCs. Moreover, we demonstrate that hCiPSCs can be efficiently differentiated into functional retinal pigment epithelium (RPE) cells, showing promise for the treatment of age-related macular degeneration (AMD) and other retinal diseases. Our study provides a method for the efficient and safe production of autologous retinal cells, facilitating the advancement of personalized stem cell therapies for ocular diseases.
Published in
A Chemical Reprogramming Approach Efficiently Producing Human Retinal Pigment Epithelium Cells for Retinal Disease Therapies
Zhang K, Wang Y, An Q et al. · Cell proliferation 2025 · PMID 39667912 · doi:10.1111/cpr.13785
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 GSE267656_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 PRJNA1112343 and SRA study SRP508144. Searching any of these in the dataset finder brings you back here.

Study design
13 conditions, mostly in triplicate
human embryonic stem cells, no treatment, ×3 Human adult adipose tissue-derived stromal ce… ×3 human chemically induced pluripotent stem cel… ×3 human chemically induced pluripotent stem cel… ×3 human chemically induced pluripotent stem cel… ×3 human chemically induced pluripotent stem cel… ×3 human chemically induced pluripotent stem cel… ×3 human chemically induced pluripotent stem cel… ×3 +5 more

Supports a between-group comparison across 39 samples.

How we read this: 13 replicated groups read from 39 sample titles; they account for 39 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.