ImmunoGlobe
ImmunoGlobe provides a manually curated intercellular immune interaction network that maps the human immune interactome to support systems-immunology analyses.
Key Features:
- Manually Curated Network: The network was constructed from authoritative immunological sources, including Janeway's Immunobiology textbook.
- Directed Graph: The resource represents a directed graph comprising 253 distinct immune system components interconnected by 1112 unique interactions.
- Interaction Annotation: Each of the 1112 interactions is annotated with detailed functional and characteristic information.
- Novel Insights: Network analysis enables identification of novel multi-step immune pathways, assessment of species-specific differences in immune processes, and prediction of cellular responses to stimuli.
- Standardized Interaction Map: Provides a standardized map to translate high-resolution profiling data into mechanistic insights.
Scientific Applications:
- Understanding Immune Mechanisms: Translates high-resolution profiling data into actionable mechanistic insights about immune interactions.
- Predictive Modeling: Supports modeling of complex immune interactions to derive mechanistic hypotheses for modulating immune responses in health and disease.
- Cross-Disciplinary Utility: Offers a network-analysis resource specifically tailored to immunology complementing existing approaches in proteomics and genomics.
Methodology:
Data were extracted from established immunological literature and manually curated to construct a directed network mapping 253 immune components and 1112 annotated interactions.
Topics
Details
- Tool Type:
- api, web application
- Added:
- 1/18/2021
- Last Updated:
- 2/4/2021
Operations
Publications
Atallah MB, Tandon V, Hiam KJ, Boyce H, Hori M, Atallah W, Spitzer MH, Engleman E, Mallick P. ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03702-3. PMID:32778050. PMCID:PMC7430879.
PMID: 32778050
PMCID: PMC7430879
Funding: - Defense Advanced Research Projects Agency: D17AC00006, HR00111890036, W911NF-14-1-0364
- National Institutes of Health: 1R01GM11709701, DP5OD023056, S10OD018040