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LPC 18:2-Driven Apoptosis In Neutrophils Is Non-Inflammatory and Lipid Raft Dependent

GSE311051 Homo sapiens (human) RNA-seq (gene expression) 27 samples Submitted 2026/02/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 27 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
27 samples: 9 conditions, mostly in triplicateGroups 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
LPC 18:2-Driven Apoptosis In Neutrophils Is Non-Inflammatory and Lipid Raft DependentbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Lysophosphatidylcholines (LPCs) are potent bioactive lipids whose fatty acid composition dictates their immunomodulatory effects. Here, we delineate how unsaturated LPC 18:2 and saturated LPC 16:0 differentially regulate neutrophil survival and inflammatory programs. LPC 18:2 markedly increased reactive oxygen species (ROS) generation and caspase-3/7 activation, accompanied by Annexin V positivity, mitochondrial membrane depolarization, and cytochrome C release, f.
Read the full summary ↓
Features consistent with intrinsic apoptosis. In contrast, LPC 16:0 induced robust LDH and HMGB-1 release, indicating membrane rupture and pyroptosis-like death. Bulk RNA sequencing revealed that LPC 16:0 strongly upregulated inflammatory and cytokine genes. Disruption of lipid-raft integrity abolished LPC 18:2–induced ROS and apoptosis, underscoring the dependence of these effects on membrane organization. Collectively, these results identify LPC 18:2 as a non-inflammatory, mitochondria-dependent inducer of neutrophil apoptosis, whereas LPC 16:0 promotes inflammatory, lytic death programs. These findings highlight how lipid saturation determines neutrophil fate and immune tone, providing mechanistic insight into how distinct LPC species shape inflammation and tissue injury.
Published in
LPC 18:2-Driven Apoptosis In Neutrophils Is Non-Inflammatory and Lipid Raft Dependent
Saminathan P, Gibbons A, Mathews I et al. · bioRxiv : the preprint server for biology 2025 · PMID 41427411 · doi:10.64898/2025.12.09.693266
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 GSE311051_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 PRJNA1368605 and SRA study SRP648099. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in triplicate
Unstim_PM_Neuts ×3 LPC_18_2_1uM_PM_Neuts ×3 LPC_18_2_10uM_PM_Neuts ×3 LPC_18_0_1uM_PM_Neuts ×3 LPC_18_0_10uM_PM_Neuts ×3 LPC_16_0_1uM_PM_Neuts ×3 LPC_16_0_10uM_PM_Neuts ×3 3mM_Stauro_PM_Neuts ×3 +1 more

Supports a between-group comparison across 27 samples.

How we read this: 9 replicated groups read from 27 sample titles; they account for 27 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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