# InCytokine, an Open-Source Software, Reveals a TREM2 Variant-Specific Cytokine Signature

**Authors:** Deepak Jha, Marco Ancona, Filip Oplt, Sonia L. Farmer, Martin Vagenknecht, Alejandro Vazquez-Otero, Illia Prazdnyk, Jindrich Soukup, Rebecca S. Mathew, Vanessa Peterson, Danny A. Bitton

PMC · DOI: 10.3390/ijms27031137 · International Journal of Molecular Sciences · 2026-01-23

## TL;DR

InCytokine is a new open-source tool that helps analyze cytokine data, revealing unique inflammatory signatures in TREM2 gene variants linked to diseases like Alzheimer's.

## Contribution

InCytokine introduces a modular and automated workflow for cytokine analysis, uncovering TREM2 variant-specific cytokine signatures.

## Key findings

- TREM2 variants show distinct cytokine signatures in response to sulfatide and lipopolysaccharide.
- DPP4 and ENA-78 exhibit divergent expression patterns in TREM2 variants.
- Protein array results align well with RNA sequencing data from the same cells.

## Abstract

Cytokine and chemokine profiling is central to understanding inflammatory processes and the mechanisms driving diverse diseases. We introduce InCytokine, an open-source tool for semiquantitative analysis of cytokine and chemokine data generated by protein array technologies. InCytokine features robust and modular image-processing workflows, including automated spot detection, template alignment, normalization, quality control measures, and quantitative intensity summarization to deliver consistent and reliable readouts from profiling assays. We evaluated InCytokine by profiling wild-type microglia, TREM2 knockout, and Alzheimer’s disease-associated TREM2 R47H variant cells in response to lipopolysaccharide and sulfatide exposure. Differential expression analysis revealed unique sulfatide-specific and genotype-specific cytokine signatures in TREM2 variants. We also report an intriguing modulation of DPP4 and a divergent expression pattern of ENA-78 in TREM2 variants in response to lipopolysaccharide and sulfatide treatment. Such distinct expression signatures raise the possibility that TREM2 variants may play a role in modulating inflammatory signaling relevant to cardio-metabolic and Alzheimer’s disease. These signatures were corroborated using transcriptional profiling of the same microglia cells, revealing also a good concordance between protein array and RNA sequencing technologies. Taken together, InCytokine is an interactive, user-friendly web application for rapid, reproducible, and scalable analysis of protein array data, proven to generate meaningful insights for drug and biomarker discovery campaigns in pharmaceutical settings.

## Linked entities

- **Genes:** TREM2 (triggering receptor expressed on myeloid cells 2) [NCBI Gene 54209], DPP4 (dipeptidyl peptidase 4) [NCBI Gene 1803], CXCL5 (C-X-C motif chemokine ligand 5) [NCBI Gene 6374]
- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Genes:** CXCL5 (C-X-C motif chemokine ligand 5) [NCBI Gene 6374] {aka ENA-78, SCYB5}, TREM2 (triggering receptor expressed on myeloid cells 2) [NCBI Gene 54209] {aka AD17, PLOSL2, TREM-2, Trem2a, Trem2b, Trem2c}, DPP4 (dipeptidyl peptidase 4) [NCBI Gene 1803] {aka ADABP, ADCP2, CD26, DPPIV, TP103}
- **Diseases:** Alzheimer's disease (MESH:D000544), inflammatory (MESH:D007249)
- **Chemicals:** sulfatide (MESH:D013433), lipopolysaccharide (MESH:D008070)
- **Mutations:** R47H

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12897140/full.md

## References

83 references — full list in the complete paper: https://tomesphere.com/paper/PMC12897140/full.md

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Source: https://tomesphere.com/paper/PMC12897140