Article ID Journal Published Year Pages File Type
3352862 Immunity 2016 13 Pages PDF
Abstract

•ImmuneSigDB: Collection of ∼5,000 gene sets derived from ∼400 immunological studies•Includes a wide range of mouse and human immune cell states and perturbations•Designed for use with GSEA and an approach called Leading Edge Metagene analysis•ImmuneSigDB identified shared and unique biology in human and mouse sepsis response

SummaryGene-expression profiling has become a mainstay in immunology, but subtle changes in gene networks related to biological processes are hard to discern when comparing various datasets. For instance, conservation of the transcriptional response to sepsis in mouse models and human disease remains controversial. To improve transcriptional analysis in immunology, we created ImmuneSigDB: a manually annotated compendium of ∼5,000 gene-sets from diverse cell states, experimental manipulations, and genetic perturbations in immunology. Analysis using ImmuneSigDB identified signatures induced in activated myeloid cells and differentiating lymphocytes that were highly conserved between humans and mice. Sepsis triggered conserved patterns of gene expression in humans and mouse models. However, we also identified species-specific biological processes in the sepsis transcriptional response: although both species upregulated phagocytosis-related genes, a mitosis signature was specific to humans. ImmuneSigDB enables granular analysis of transcriptomic data to improve biological understanding of immune processes of the human and mouse immune systems.

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Related Topics
Life Sciences Immunology and Microbiology Immunology
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