Omics · study · 2026
3D epigenomic landscape of human retinal pigment epithelium [RNA-seq]
Listed in NCBI GEO
Retinal pigment epithelium (RPE) serves as a vital guardian of visual function, with its dysfunction driving pathogenesis in various retinal diseases, including age-related macular degeneration and inherited retinal disorders.
Description
While ongoing RPE cells transplantation clinical trials worldwide, the absence of standardized quality metrics for stem cell-derived RPE represents a significant gap. In this study, we aim to systematically dissect epigenomic divergence among human primary RPE (hRPE), induced pluripotent stem cell-derived RPE (iPSC-RPE), and immortalized ARPE-19 cells through multi-omic analyses.
Our study elucidated the distinct functional characteristics of the three types of RPE and their underlying epigenetic regulatory mechanisms, with a particular focus on the development and functional maturation of iPSC-RPE. We further revealed cell-type-specific regulatory blueprints: hRPE exhibits strong extracellular matrix (ECM) organization capacity through 3D-epigenomic (3D genome folding and epigenomic state) regulation, as exemplified by the enrichment of the RUNX1 motif, whereas iPSC-RPE retains signatures of RPE development and weak ECM function, marked by transcription factors such as Hand1, OTX2, PAX6, and ECM-associated genes.
Read the rest (1 more)
On the other hand, ARPE-19 exhibits greater cell proliferation ability and specifically regulated by transcription factors such as KLF5. Together, our data greatly advance our understanding of RPE biology and provide a robust foundation for optimizing iPSC-RPE differentiation protocols and developing innovative therapeutic strategies for retinal diseases.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE307nnn/GSE307355 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE307355 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1316331 ncbi.nlm.nih.gov/bioproject/PRJNA1316331 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE307355 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |