GEO series

YAP activation reverses aging-related visual dysfunction caused by impaired cell-matrix adhesion

GSE282283 Homo sapiens (human) Single-cell RNA-seq 15 samples Submitted 2026/02/19 Platform GPL24247Platform GPL24676Platform GPL21103

At a glance

Single-cell RNA-seq · human · 15 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Homo sapiens (human)
Samples: 15 samples: 5 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: Bst2-targeted senotherapy restores visual function by eliminating senescent retinal cellsNature communications · 2026

Summary (written by the submitters)

Cellular senescence of retinal pigment epithelium (RPE) cells is a major contributor to age-related visual decline, particularly in the pathology of age-related macular degeneration (AMD). While genome-wide association studies (GWAS) have advanced our understanding of the genetic factors underlying AMD, the molecular mechanisms driving RPE senescence remain poorly understood.

Read the full summary ↓

In this study, we performed single-cell RNA sequencing (scRNA-seq) on RPE cells from young and old mice, uncovering a close relationship between dysregulated genes involved in cell-matrix adhesion and RPE senescence. Using hydrogel systems to manipulate integrin-mediated cell-matrix adhesion, we demonstrated that impaired adhesion can induce cellular senescence in RPE cells. Mechanistically, we identified the mechanotransducer Yes-associated protein (YAP) as a key protector against RPE senescence. Notably, YAP activation alone was sufficient to trigger stem cell transcriptional programs and reverse aging phenotypes in senescent RPE cells. Furthermore, treatment with TRULI, a small-molecule YAP activator, significantly restored visual function in both an AMD mouse model and naturally aged mice. Our findings highlight the integrin-YAP mechanotransduction pathway as a fundamental mechanism preventing RPE senescence, positioning YAP activation as a promising strategy to reverse RPE aging and restore visual function.

Published in

Bst2-targeted senotherapy restores visual function by eliminating senescent retinal cells

Oh JY, Chae JB, Lee HK et al. · Nature communications 2026 · PMID 41851144 · doi:10.1038/s41467-026-70797-2

This dataset

Open GSE282283 in finder → Find more RNA-seq datasets →

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.

Series matrix ↓

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 GSE282283_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1188059 and SRA study SRP546151. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41851144) ↗

Study design

5 conditions, mostly in triplicate

RPE, plastic, P ×3 RPE, 1.5 kPa, S ×3 RPE, YAP-HA, Y ×3 RPE, Ctrl ×2 RPE, TRULI ×2 RPE, 24months, scRNA-seq ×1 RPE, 3 months, scRNA-seq ×1

Supports a between-group comparison across 13 samples.

How we read this: 5 replicated groups read from 15 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

GSM8640501 RPE, 24months, scRNA-seq
GSM8640502 RPE, 3 months, scRNA-seq
GSM8640503 RPE, plastic, P1 RPE, plastic, P
GSM8640504 RPE, plastic, P2 RPE, plastic, P
GSM8640505 RPE, plastic, P3 RPE, plastic, P
GSM8640506 RPE, 1.5 kPa, S1 RPE, 1.5 kPa, S
GSM8640507 RPE, 1.5 kPa, S2 RPE, 1.5 kPa, S
GSM8640508 RPE, 1.5 kPa, S3 RPE, 1.5 kPa, S
GSM8640509 RPE, YAP-HA, Y1 RPE, YAP-HA, Y
GSM8640510 RPE, YAP-HA, Y2 RPE, YAP-HA, Y
GSM8640511 RPE, YAP-HA, Y3 RPE, YAP-HA, Y
GSM8640512 RPE, Ctrl1 RPE, Ctrl
GSM8640513 RPE, Ctrl2 RPE, Ctrl
GSM8640514 RPE, TRULI1 RPE, TRULI
GSM8640515 RPE, TRULI2 RPE, TRULI

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