Figure 5. Pre-existing data sources for machine learning-based discovery in trained immunity.

Sequencing datasets, including transcriptomics, epigenomics, and translatomics can be integrated to determine the effects of intracellular regulation on trained immunity effector responses. A comparison of chemical and protein libraries with known training pathways can identify protein targets, pathways, and potential mechanisms for novel induction of trained immunity. Epidemiological and clinical datasets could yield particularly rich information, including the influence of genetic variants, microbiota, drugs, and disease states on trained immunity. This figure was created with BioRender.com.