← BioTransfer GEO Dataset Finder
GEO series

SPOCK2 controls the proliferation and function of immature pancreatic β-cells through MMP2.

GSE190361 Homo sapiens (human) Single-cell RNA-seq 10 samples Submitted 2025/02/12 Platform GPL15456Platform GPL34281
At a glance

Single-cell RNA-seq · human · 10 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
10 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
SPOCK2 controls the proliferation and function of immature pancreatic β-cells through MMP2Experimental & molecular medicine · 2025
Summary (written by the submitters)
Human pluripotent stem cell-derived β-cells (SC-β-cells) represent an alternative cell source for transplantation in diabetic patients. While mitogens could in theory be employed to expand β-cells, adult β-cells very rarely replicate. Conversely, newly formed β-cells, including SC-β-cells, display higher proliferative capacity and distinct transcriptional and functional profiles.
Read the full summary ↓
Through bidirectional expression modulation and single-cell RNA-seq, we identified SPOCK2, an ECM protein, as inhibitor of immature β-cell proliferation. Human β-cells lacking SPOCK2 demonstrated elevated MMP2 expression and activity, leading to β-integrin-FAK-c-JUN pathway activation. Treatment with MMP2 protein resulted in pronounced short- and long-term SC-β-cell expansion, significantly, increasing glucose-stimulated insulin secretion in vitro and in vivo. This suggests that SPOCK2 mediates fetal β-cell proliferation and maturation. Together, we identified molecular mechanism that specifically regulates SC-β-cell proliferation and function, highlighting a unique signaling milieu of SC-β-cells with promising potential for robust derivation of fully functional cells for transplantation.
Published in
SPOCK2 controls the proliferation and function of immature pancreatic β-cells through MMP2
Blaszczyk K, Jedrzejak AP, Ziojla N et al. · Experimental & molecular medicine 2025 · PMID 39741186 · doi:10.1038/s12276-024-01380-2
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 GSE190361_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 PRJNA786870 and SRA study SRP349631. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 10 more — browse all 10 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.