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Non-canonical roles of CFH in retinal pigment epithelial cells revealed by dysfunctional rare CFH variants

GSE275494 Homo sapiens (human) RNA-seq (gene expression) 90 samples Submitted 2024/12/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 90 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
90 samples
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
Non-canonical roles of CFH in retinal pigment epithelial cells revealed by dysfunctional rare CFH variantsStem cell reports · 2025
Summary (written by the submitters)
Complement Factor H (CFH) common genetic variants have been associated with age-related macular degeneration (AMD). While most previous in vitro RPE studies focused on the common p.His402Tyr CFH variant, we characterized rare CFH variants that are highly penetrant for AMD using induced pluripotent stem cell derived retinal pigment epithelium (iPSC-RPE).
Read the full summary ↓
Our results show that lower FH levels were detected in AMD RPE, which potentially disrupted canonical and non-canonical roles of FH. Specifically, AMD RPE displayed higher inflammation rate and a reduced set of differentially expressed genes compared to control RPE upon A2E and blue light challenge. Additionally, cholesterol efflux and POS phagocytosis defects, dysregulated complement levels, larger sub-RPE deposits and increased mitochondrial stress were observed in AMD RPE. Thus, our study reveals new non-canonical roles for FH in regulating important RPE functions.
Published in
Non-canonical roles of CFH in retinal pigment epithelial cells revealed by dysfunctional rare CFH variants
ten Brink SCA, Koolen L, Klaver CCW et al. · Stem cell reports 2025 · PMID 39753135 · doi:10.1016/j.stemcr.2024.11.015
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 GSE275494_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 PRJNA1151087 and SRA study SRP528164. Searching any of these in the dataset finder brings you back here.

Samples in this study

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