Cell-Type-Specific Gene Regulatory Networks of Pro-Inflammatory and Pro-Resolving Lipid Mediator Biosynthesis in the Immune System

Matti Hoch (First Author), Jannik Rauthe (Co-Author), Konstantin Cesnulevicius (Co-Author), Myron Schultz (Co-Author), David Lescheid (Co-Author), Olaf Wolkenhauer (Co-Author), Valerio Chiurchiù (Co-Author), Shailendra Gupta* (Last Author)

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    6 Scopus citations

    Abstract

    Lipid mediators are important regulators in inflammatory responses, and their biosynthetic pathways are targeted by commonly used anti-inflammatory drugs. Switching from pro-inflammatory lipid mediators (PIMs) to specialized pro-resolving (SPMs) is a critical step toward acute inflammation resolution and preventing chronic inflammation. Although the biosynthetic pathways and enzymes for PIMs and SPMs have now been largely identified, the actual transcriptional profiles underlying the immune cell type-specific transcriptional profiles of these mediators are still unknown. Using the Atlas of Inflammation Resolution, we created a large network of gene regulatory interactions linked to the biosynthesis of SPMs and PIMs. By mapping single-cell sequencing data, we identified cell type-specific gene regulatory networks of the lipid mediator biosynthesis. Using machine learning approaches combined with network features, we identified cell clusters of similar transcriptional regulation and demonstrated how specific immune cell activation affects PIM and SPM profiles. We found substantial differences in regulatory networks in related cells, accounting for network-based preprocessing in functional single-cell analyses. Our results not only provide further insight into the gene regulation of lipid mediators in the immune response but also shed light on the contribution of selected cell types in their biosynthesis.

    Original languageEnglish
    Article number4342
    JournalInternational Journal of Molecular Sciences
    Volume24
    Issue number5
    DOIs
    StatePublished - Mar 2023

    Keywords

    • RNA-seq
    • inflammation resolution
    • lipid mediators
    • machine learning
    • network modeling

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