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Variant-specific disruption to Notch signaling in PAX6 microphthalmia and aniridia patient-derived hiPSC optic vesicles

GSE288049 Homo sapiens (human) RNA-seq (gene expression) 70 samples Submitted 2025/05/22 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 70 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
70 samples: 18 conditions, mostly with about 4 replicates eachGroups 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
Variant-specific disruption to notch signalling in PAX6 microphthalmia and aniridia patient-derived hiPSC optic cup-like organoidsBiochimica et biophysica acta. Molecular basis of disease · 2025
Summary (written by the submitters)
The homeobox-containing transcription factor PAX6 is a key regulator of eye development. Pathogenic heterozygous PAX6 variants lead to variable ocular phenotypes. Missense variants are often associated with milder ocular conditions, although variants in the DNA-binding paired domain which alter target binding lead to severe ocular phenotypes including bilateral microphthalmia, similar to SOX2 anophthalmia syndrome. However, the variant-specific pathway disruption resulting in phenotypic heterogeneity is not well understood.
Published in
Variant-specific disruption to notch signalling in PAX6 microphthalmia and aniridia patient-derived hiPSC optic cup-like organoids
Harding P, Owen N, Eintracht J et al. · Biochimica et biophysica acta. Molecular basis of disease 2025 · PMID 40280197 · doi:10.1016/j.bbadis.2025.167869
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 GSE288049_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 PRJNA1215937 and SRA study SRP559977. Searching any of these in the dataset finder brings you back here.

Study design
18 conditions, mostly with about 4 replicates each
AN Clone 2, day 35, ×5 AN Clone 2, day 0, ×4 AN Clone 2, day 20, ×4 PX Clone 1, day 0, ×4 PX Clone 1, day 20, ×4 PX Clone 1, day 35, ×4 PX Clone 2, day 0, ×4 PX Clone 2, day 20, ×4 +10 more

Supports a between-group comparison across 70 samples.

How we read this: 18 replicated groups read from 70 sample titles; they account for 70 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

+ 30 more — browse all 70 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.