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Preterm birth increases susceptibility to hyperglycemia-induced glomerular alterations in the kidneys of male mice [bulk RNA-seq]

GSE280781 Mus musculus (mouse) Single-cell RNA-seq 20 samples Submitted 2025/06/04 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 20 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
Mus musculus (mouse)
Samples
20 samples: 5 × Male term non-diabetic (T-ND), RNAseq, vs 5 × Male term diabetic (T-D), RNAseq, vs 5 × Male preterm non-diabetic (PT-ND), RNAseq, vs 5 × Male preterm diabetic (PT-D), RNAseq,Groups 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
Preterm birth increases susceptibility to hyperglycemia induced glomerular alterations in male miceScientific reports · 2025
Summary (written by the submitters)
Diabetic kidney disease (DKD) is the leading cause of progressive chronic kidney disease in adults in the United States. However, the impact of preterm birth on the progression of DKD has not been studied. The goal of this project is to determine the effect of preterm birth on kidney health in a diabetic mouse model. CD-1 pups born preterm (19 days post conception (dpc)) and term (20 dpc) were studied, and outcomes of the male mice were reported, all compared to term mice.
Read the full summary ↓
Preterm and term mice were treated with streptozotocin at six weeks to induce hyperglycemia. Body weight and blood sugar were monitored. Histologic, molecular, and imaging techniques were used to characterize the mice at 18 weeks. The preterm mice with diabetes had a lower podocyte density, lower proximal tubular fraction, and more atubular glomeruli compared to the term mice without diabetes. They also had a lower podocyte density and lower renin expression compared to term mice with diabetes. Based on single-cell RNA sequencing, preterm mice with diabetes had increased expression of genes related to the angiogenesis migration pathway-related in endothelial cells and increased expression of genes in the actin adhesion pathway in podocytes compared to term mice with diabetes. Furthermore, the preterm mice with diabetes exhibited a weaker endothelial cell-podocyte interaction compared to term mice with diabetes. These data suggest that preterm birth increases susceptibility to glomerular and tubular damage after a brief “second hit” of hyperglycemia. In conclusion, preterm birth disrupts endothelial-podocyte crosstalk and increases susceptibility to kidney injury induced by hyperglycemia.
Published in
Preterm birth increases susceptibility to hyperglycemia induced glomerular alterations in male mice
Cwiek A, Dailey RK, Kameshwar AKS et al. · Scientific reports 2025 · PMID 40442182 · doi:10.1038/s41598-025-00103-5
This dataset
Open GSE280781 in finder → Find more mouse 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 GSE280781_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: 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 PRJNA1180530 and SRA study SRP542372. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40442182) ↗
Study design
5 × Male term non-diabetic (T-ND), RNAseq, vs 5 × Male term diabetic (T-D), RNAseq, vs 5 × Male preterm non-diabetic (PT-ND), RNAseq, vs 5 × Male preterm diabetic (PT-D), RNAseq,

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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
Datasets on a similar topic

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