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ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network.

Michelle B Atallah1, Varun Tandon2, Kamir J Hiam3

  • 1Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

BMC Bioinformatics
|August 12, 2020
PubMed
Summary

ImmunoGlobe is the first manually curated immune interaction network, offering a standardized map to understand complex immune processes. This tool aids in predicting immune cell responses and developing targeted therapies for diseases.

Keywords:
BioinformaticsCytokinesImmune network analysisImmunobiologyProtein networksSystems immunology

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Area of Science:

  • Immunology
  • Bioinformatics
  • Systems Biology

Background:

  • High-resolution immune system profiling is advancing, yet understanding complex immune interactions remains a challenge.
  • Standardized network maps are crucial for exploring immune mechanisms and developing analytical tools.
  • ImmunoGlobe was developed to address this need by creating a curated intercellular immune interaction network.

Purpose of the Study:

  • To develop the first graphical representation of the immune interactome.
  • To provide a standardized network map for analyzing immune interactions.
  • To facilitate the development of network analysis tools for immunology.

Main Methods:

  • Manual curation of intercellular immune interactions from Janeway's Immunobiology textbook.
  • Development of ImmunoGlobe, a network comprising 253 immune components and 1112 interactions.
  • Annotation of interactions with detailed functional and characteristic data.

Main Results:

  • ImmunoGlobe represents the first graphical map of the immune interactome.
  • The network successfully recapitulates known human immune system features.
  • Analysis revealed novel multi-step immune pathways, species-specific differences, and predicted cellular responses to stimuli.

Conclusions:

  • ImmunoGlobe provides a foundational 'ground truth' network for immunological analysis tools.
  • Enables the development of tools to predict complex immune interactions and outcomes.
  • Facilitates mechanistic insights for precise modulation of immune responses in health and disease.