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Replication stress responses in human lymphocytes change sex-specifically during aging

GSE288191 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/05/22 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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
Replication stress responses in human lymphocytes change sex-specifically during agingNucleic acids research · 2025
Summary (written by the submitters)
The varying incidence of aging-related diseases and the gender gap in life expectancy suggest differences in the aging process between the sexes. Yet, little is known about sexspecific differences in genomic instability, a key factor in aging. Here we analyzed DNA damage responses (DDRs) in cycling human peripheral blood lymphocytes (PBL) from female and male donors of different age focusing on replication stress.
Read the full summary ↓
Transcriptomics revealed striking sex-dependent expression changes in DDR pathways during aging. Particularly, various DDR components, involved in DNA repair and replication fork remodeling were upregulated with age in men. In contrast, functional analysis indicated reduced activity of the Fanconi Anemia pathway in PBL from older women. In line, DNA fiber spreading and PCNA ubiquitination analyses revealed a shift from fork remodeling to faster DNA damage tolerance (DDT) mechanisms in older women, accompanied by an increase in replication stress. While replication dynamics were unaltered and replication stress rather reduced, PBL from older men were highly dependent on PARP activity. In conclusion, our findings revealed sex-specific strategies to cope with replication stress in PBL from older individuals, namely through DDT pathway switching in women and PARP activation in men, differentially contributing to the decline of genomic stability with age.
Published in
Replication stress responses in human lymphocytes change sex-specifically during aging
Rall-Scharpf M, Schlotter D, Koch P et al. · Nucleic acids research 2025 · PMID 40530696 · doi:10.1093/nar/gkaf498
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 GSE288191_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: 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 PRJNA1216548. Searching any of these in the dataset finder brings you back here.

Study design
24 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 24 sample titles: 24 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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