Abstract:
:Gene-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.
journal_name
Immunityjournal_title
Immunityauthors
Godec J,Tan Y,Liberzon A,Tamayo P,Bhattacharya S,Butte AJ,Mesirov JP,Haining WNdoi
10.1016/j.immuni.2015.12.006subject
Has Abstractpub_date
2016-01-19 00:00:00pages
194-206issue
1eissn
1074-7613issn
1097-4180pii
S1074-7613(15)00532-4journal_volume
44pub_type
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