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PTPN2 deficiency amplifies interferon signaling and impairs functional maturation of human stem cell-derived islets [BulkRNA_Stemcells]

GSE304008 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2026/03/18 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
PTPN2 deficiency amplifies inflammatory signalling and impairs functional maturation of human stem cell-derived isletsStem cell research & therapy · 2026
Summary (written by the submitters)
Background: Protein tyrosine phosphatases (PTPs) play key roles in b-cell function and diabetes development. PTPN2 is a candidate gene for type 1 diabetes (T1D) that negatively regulates the JAK/STAT signaling. However, the impact of PTPN2 deficiency on the differentiation and functionality of human stem cell-derived somatic metabolic cells remains unclear.
Read the full summary ↓
Methods: PTPN2 expression in b cells from T1D organ donors and during the differentiation of human stem cell-derived islets (SC-islets) was evaluated in single-cell RNA-Sequencing data. Moreover, we differentiated CRISPR-Cas12a genome-edited PTPN2-deficient H1 human embryonic stem cells (H1-hESCs) into SC-islets, and sc RNA-Seq was performed. The maturation and functionality PTPN2 deficient SC-islets were assessed by implantation under the kidney capsule of NOD-SCID mice. Results: scRNA-Seq analysis showed that PTPN2 expression was increased in b cells from recently diagnosed T1D and decreased in long-standing T1D organ donors, compared with controls. Conversely, we found that PTPN2 expression was decreased at early stages of SC-islet differentiation and reconstituted at later stages, suggesting a developmental dynamic. CRISPR/Cas12-mediated gene editing was used to generate PTPN2-knockout human embryonic stem cells. PTPN2 deficiency exacerbated interferon-induced inflammatory signaling in stem cells and differentiated somatic metabolic cells. Interestingly, PTPN2 deficiency increased hedgehog signaling and reduced SC-islet differentiation efficiency in vitro. In addition, PTPN2-knockout SC-islets exhibited reduced glycemic control after implantation in vivo, mediated by reduced cell endocrine identity and enhanced interferon signaling. Conclusions: Our study postulates a key role of PTPN2 in preserving b-cell function during inflammatory and metabolic stress in SC-islets.
Published in
PTPN2 deficiency amplifies inflammatory signalling and impairs functional maturation of human stem cell-derived islets
Vandenbempt V, Negueruela J, Ribeiro-Costa F et al. · Stem cell research & therapy 2026 · PMID 41654987 · doi:10.1186/s13287-025-04892-4
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 GSE304008_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: 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 PRJNA1298754 and SRA study SRP604531. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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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