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(RNA-seq-SHSY5Y) Hao-Fountain syndrome protein USP7 mediates neuronal differentiation via BCOR-ncPRC1.1

GSE263490 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2025/03/12 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 14 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
Hao-Fountain syndrome protein USP7 controls neuronal differentiation via BCOR-ncPRC1.1Genes & development · 2025
Summary (written by the submitters)
Pathogenic variants of ubiquitin-specific protease 7 (USP7) cause the neurodevelopmental disorder Hao-Fountain syndrome. However, which of its pleiotropic substrates are relevant for neurodevelopment has remained unclear. Here, we present a combination of quantitative proteomics, transcriptomics and epigenomics to define the core USP7 circuitry during neurodifferentiation.
Read the full summary ↓
USP7 activity is required for the transcriptional programs that direct the differentiation of human ESCs to neural stem cells, and neuronal differentiation of SHSY5Y neuroblastoma cells. In addition to other substrates, including TRIM27, USP7 controls the dosage of the Polycomb H2AK119ub1 ubiquitin ligases ncPRC1.1 and ncPRC1.6. We found that BCOR-ncPRC1.1, but not ncPRC1.6 or TRIM27, is a key effector of USP7-dependent neuronal differentiation. Indeed, BCOR-ncPRC1.1 mediates the majority of USP7-dependent gene regulation during this process. Besides providing a detailed map of the USP7 regulome during neuronal differentiation, our results suggest that Hao-Fountain syndrome and ncPRC1.1-associated neurodevelopmental disorders involve dysregulation of a shared epigenetic network.
Published in
Hao-Fountain syndrome protein USP7 controls neuronal differentiation via BCOR-ncPRC1.1
Wolf van der Meer J, Larue A, van der Knaap JA et al. · Genes & development 2025 · PMID 39919828 · doi:10.1101/gad.352272.124
This dataset
Open GSE263490 in finder → Find more human 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 GSE263490_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: 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 PRJNA1097633 and SRA study SRP500334. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39919828) ↗
Study design
14 conditions, mostly in triplicate
WT_UNDIF ×3 WT_NEUR ×3 p53KO_UNDIF ×3 p53KO_NEUR ×3 p53_USP7_DKO_UNDIF ×3 p53_USP7_DKO_NEUR ×3 p53_BCOR_DKO_UNDIF ×3 p53_BCOR_DKO_NEUR ×3 +6 more

Supports a between-group comparison across 38 samples.

How we read this: 14 replicated groups read from 38 sample titles; they account for 38 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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