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Glycine Receptor Activity in β Cells Is Downregulated in Type 2 Diabetes and After High Glucose Culture

GSE280267 Homo sapiens (human) RNA-seq (gene expression) 199 samples Submitted 2024/12/02 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 199 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
199 samples: 199 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
Molecular correlates of glycine receptor activity in human β cellsMolecular metabolism · 2025
Summary (written by the submitters)
Objectives: Glycine acts in an autocrine positive feedback loop in human β cells through its ionotropic receptors (GlyRs). In type 2 diabetes (T2D), islet GlyR activity is impaired by unknown mechanisms. We sought to investigate if the GlyR dysfunction in T2D is replicated by hyperglycemia per se, and to further characterize its action in β cells and the islets.
Read the full summary ↓
Methods: GlyR-mediated currents were measured using whole-cell patch-clamp in human β cells from donors with or without T2D, or after high glucose culture. We also correlated glycine-induced current amplitude with transcript expression levels through patch-seq. The expression of the GlyR α1, α3, and β subunit mRNA splice variants was compared between islets from donors with and without T2D, and after high glucose culture. Insulin secretion from human islets was measured in the presence or absence of the GlyR antagonist strychnine. Results: Gene expression of GlyRs was decreased in islets from T2D donors along with smaller GlyR-mediated currents in the β cells. Glycine-induced currents are also reduced in islets from donors without diabetes after 48 hours of culture in high glucose, along with reducedα1 subunit expression and increased α3 subunit expression. Glycine-evoked currents are highly heterogeneous between different β cells within and between donors; inversely correlated with donor HbA1c; and significantly correlated to the expression of 99 different transcripts. Finally, glucose-stimulated insulin secretion is decreased in the presence of strychnine.
Published in
Molecular correlates of glycine receptor activity in human β cells
Schukarucha Gomes A, Ellis CE, Spigelman AF et al. · Molecular metabolism 2025 · PMID 40258441 · doi:10.1016/j.molmet.2025.102156
This dataset
Open GSE280267 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 GSE280267_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 PRJNA1177489 and SRA study SRP540698. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40258441) ↗
Study design
199 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 199 sample titles: 199 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

+ 159 more — browse all 199 samples with per-sample file links →

Datasets on a similar topic

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