# Simplified flow cytometric quantification of human neutrophil extracellular traps (NETs)

**Authors:** G. Rinaldi, K. K. W. Cheng, C. McCann, F. Rossi, M. Rodriguez-Rios, K. Dhaliwal, A. Bebes, L. Duncan, R. Yuecel, Adriano G. Rossi, Calum T. Robb

PMC · DOI: 10.1186/s12950-026-00490-0 · Journal of Inflammation (London, England) · 2026-02-18

## TL;DR

This paper introduces a new flow cytometry method to accurately measure neutrophil extracellular traps (NETs), a unique form of cell death.

## Contribution

A novel flow cytometry assay is developed for efficient and accurate quantification of NETosis.

## Key findings

- The assay effectively distinguishes NETosis from other forms of cell death.
- The method is sensitive, reliable, and reduces false positives compared to existing techniques.

## Abstract

Several cellular pathways lead to the formation of neutrophil extracellular traps (NETs), a form of cell death (NETosis), distinct from apoptotic and necrotic cell death. Surprisingly, there remains a paucity of methods enabling efficient quantification of NETosis and associated pathways. Here, we describe the development of a simple, sensitive, reliable and flexible flow cytometry assay allowing efficient detection and quantification of NETosis. For the core assay, isolated primary human neutrophils were incubated with stimulants e.g. PMA/ionomycin with or without inhibitors prior to fixing. The fixed cells were then blocked and subsequently incubated in anti-DNA/Histone 1 and anti-histone H2A antibodies for dual detection of Histone 1 and Histone H2A. Cells with were H1-DNA/H2A double fluorescent were deemed NETotic. Imaging flow cytometry was used to validate the accuracy of NETosis detection/quantification. Several key pathways of NETosis were confirmed via the use of established NET-inducers in accordance with existing established methodologies. Importantly, our novel flow cytometry-based NETosis detection assay could efficiently discriminate NETosis from established neutrophil activation, as well as apoptotic and necrotic cell death. We believe our methodology will complement existing NETosis methodologies whilst concomitantly reducing human error, subjectivity and, indeed the false positivity (attained from neutrophil activation and other cell death processes) inherent in existing methodologies. Furthermore, the simplicity and flexibility of our methodology permit additional markers and pathways of NETosis to be investigated, highlighting it as an integral research tool for both general NETosis research and the pursuit to better understand the pathogenesis of NETosis-associated diseases.

The online version contains supplementary material available at 10.1186/s12950-026-00490-0.

## Linked entities

- **Chemicals:** PMA (PubChem CID 171116383), ionomycin (PubChem CID 6912226)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** MPO (myeloperoxidase) [NCBI Gene 4353], Lactate dehydrogenase [NCBI Gene 28379807], PRRT2 (proline rich transmembrane protein 2) [NCBI Gene 112476] {aka BFIC2, BFIS2, DSPB3, DYT10, EKD1, FICCA}, H1-0 (H1.0 linker histone) [NCBI Gene 3005] {aka H1.0, H10, H1F0, H1FV}, CTSG (cathepsin G) [NCBI Gene 1511] {aka CATG, CG}, H2AC18 (H2A clustered histone 18) [NCBI Gene 8337] {aka H2A, H2A.2, H2A/O, H2A/q, H2AFO, H2a-615}, H2ab2 (H2A.B variant histone 2) [NCBI Gene 624153] {aka EG624153, H2A.Bbd4, H2afb2, H2afb2-ps}, SELL (selectin L) [NCBI Gene 6402] {aka CD62L, LAM1, LECAM1, LEU8, LNHR, LSEL}, ITGAM (integrin subunit alpha M) [NCBI Gene 3684] {aka CD11B, CR3A, HNA-4, MAC-1, MAC1A, MO1A}, ELANE (elastase, neutrophil expressed) [NCBI Gene 1991] {aka ELA2, GE, HLE, HNE, NE, PMN-E}
- **Diseases:** COVID-19 (MESH:D000086382), Antimicrobial Resistance (MESH:D060467), cancer (MESH:D009369), infection (MESH:D007239), Cytotoxicity (MESH:D064420), cystic fibrosis (MESH:D003550), rheumatoid arthritis (MESH:D001172), Inflammation (MESH:D007249), gout (MESH:D006073), necrosis (MESH:D009336), sepsis (MESH:D018805), SLE (MESH:D008180), autoimmune diseases (MESH:D001327), NETs (MESH:C536657)
- **Chemicals:** NADPH (MESH:D009249), N-Formylmethionine-leucyl-phenylalanine (MESH:D009240), PMA (MESH:D013755), Triton X (MESH:D017830), dextran (MESH:D003911), Alexa-488 (-), PI (MESH:D011419), Ionomycin (MESH:D015759), Sytox Green (MESH:C402795), PBS (MESH:D007854), CaCl2 (MESH:D002122), A23187 (MESH:D000001), DPI (MESH:C031291), Calcium (MESH:D002118), ROS (MESH:D017382), ethanol (MESH:D000431), Ro 31-8220 (MESH:C064758), Sivelestat (MESH:C069195), Magnesium (MESH:D008274), Q-VD-OPh (MESH:C468548), 2,4-Dinitrophenol (MESH:D019297), water (MESH:D014867), FBS (MESH:C523711), paraformaldehyde (MESH:C003043)
- **Species:** Staphylococcus aureus (species) [taxon 1280], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12947343/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12947343/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12947343/full.md

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Source: https://tomesphere.com/paper/PMC12947343