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Immune cell single-cell RNA sequencing analyses link an age-associated T cell subset to symptomatic benign prostatic hyperplasia

GSE295879 Homo sapiens (human) Single-cell RNA-seq 17 samples Submitted 2025/07/30 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 17 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
17 samples: 10 × prostate_Small_B vs 7 × prostate_Large_BGroups 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
Immune cell single-cell RNA sequencing analyses link an age-associated T cell subset to symptomatic benign prostatic hyperplasiaFrontiers in immunology · 2025
Summary (written by the submitters)
Benign prostatic hyperplasia (BPH) is among the most common age-associated diseases in men. Whether age-related changes in immune cells, termed immunosenescence, contribute to BPH is not clear. Specific T cell populations, in particular a subset of CD8+ T cells with high Granzyme K (GZMKhi) and low Granzyme B (GZMBlow) gene expression, have been associated with aging; however, the precise function and biological significance of these cells in age-related diseases is not known.
Read the full summary ↓
The current study determine that Taa cells infiltrate aged human prostates and positively correlate with International Prostate Symptom Score (IPSS). A velocity analysis indicated that CD8+ T cell differentiation is altered in large BPH prostates compared to small age-matched prostates. In vitro granzyme K treatment of human BPH patient-derived large prostate fibroblasts increased secretion of senescence-associated secretory phenotype (SASP)-associated cytokines. These data suggest that granzyme K-mediated stimulation of prostate stromal fibroblast SASP cytokine and chemokine production promotes prostate immune cell recruitment and activation. Overall, these results connect symptomatic BPH with immune aging.
Published in
Immune cell single-cell RNA sequencing analyses link an age-associated T cell subset to symptomatic benign prostatic hyperplasia
Broman MM, Lanman NA, Vickman RE et al. · Frontiers in immunology 2025 · PMID 40692782 · doi:10.3389/fimmu.2025.1585446
This dataset
Open GSE295879 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 GSE295879_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 PRJNA1256715 and SRA study SRP582046. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40692782) ↗
Study design
10 × prostate_Small_B vs 7 × prostate_Large_B

Supports a between-group comparison across 17 samples.

How we read this: 2 replicated groups read from 17 sample titles; they account for 17 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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