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Differences between human male and female neutrophils with respect to which RNAs are present in polysomes

GSE288976 Homo sapiens (human) RNA-seq (gene expression) 34 samples Submitted 2025/05/08 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 34 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
34 samples: 34 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
Differences between human male and female neutrophils with respect to which RNAs are present in polysomesbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Human males and females show differences in the incidence of neutrophil-associated diseases such as systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis, and differences in neutrophil physiological responses such as responses to infection, tissue damage, and chemotactic factors. However, little is known about the basis of sex-based differences in human neutrophils.
Read the full summary ↓
Starting with human neutrophils from healthy donors, we used RNA-seq to examine total RNA profiles, RNAs not associated with ribosomes and thus not being translated, RNAs in monosomes, and RNAs in polysomes and thus heavily translated. There were sex-based differences in the levels of RNAs across free RNA, monosome, and polysome fractions. Male neutrophils had increased levels of mRNAs encoding mitochondrial proteins in the free RNA fractions, indicating low levels of translation. The polysomes of male neutrophils were enriched for mRNAs encoding cytoskeletal organization, cell motility, and phosphatases. The polysomes of female neutrophils were enriched for mRNAs associated the regulation of RNA, metabolic processes, responses to interferon, and mitochondrial proteins.These data indicate that male and female neutrophils have different expression patterns and different translation efficiency of some mRNAs. This may contribute to the observed sex-based differences in neutrophil behavior and neutrophil-associated disease incidence and severity.
Published in
Differences between human male and female neutrophils with respect to which RNAs are present in polysomes
Pilling D, Consalvo KM, Kirolos SA et al. · bioRxiv : the preprint server for biology 2025 · PMID 40463083 · doi:10.1101/2025.05.07.652701
This dataset
Open GSE288976 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 GSE288976_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 PRJNA1220142 and SRA study SRP562060. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40463083) ↗
Study design
34 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 34 sample titles: 34 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
Datasets on a similar topic

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