ArticlePloS one2011
Network theory analysis of antibody-antigen reactivity data: the immune trees at birth and adulthood.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design.Computational and structural biotechnology journal · 2022Review
- Why current quantitative serology is not quantitative and how systems immunology could provide solutions.Biologia futura · 2021Review
- Using Domain Based Latent Personal Analysis of B Cell Clone Diversity Patterns to Identify Novel Relationships Between the B Cell Clone Populations in Different Tissues.Frontiers in immunology · 2021Article
- Network Organization of Antibody Interactions in Sequence and Structure Space: the RADARS Model.Antibodies (Basel, Switzerland) · 2020Article
- The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation.Frontiers in immunology · 2019Review
- Antibody repertoire profiling with mimotope arrays.Human vaccines & immunotherapeutics · 2017Article
- Evolution, immunity and the emergence of brain superautoantigens.F1000Research · 2017Article
- Self-tolerance in a minimal model of the idiotypic network.Frontiers in immunology · 2014Review
- An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links.PloS one · 2013Article
- Genetic and phenotypic selection affect natural (auto-) antibody reactivity of chickens.PloS one · 2013Article
- Link clustering reveals structural characteristics and biological contexts in signed molecular networks.PloS one · 2013Article
- Statistical inference for valued-edge networks: the generalized exponential random graph model.PloS one · 2012Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationNew antigen microarray technology enables parallel recording of antibody reactivities with hundreds of antigens. Such data affords system level analysis of the immune system's organization using methods and approaches from network theory. Here we measured the reactivity of 290 antigens (for both the IgG and IgM isotypes) of 10 healthy mothers and their term newborns. We constructed antigen correlation networks (or immune networks) whose nodes are the antigens and the edges are the antigen-antigen reactivity correlations, and we also computed their corresponding minimum spanning trees (MST)--maximal information reduced sub-graphs. We quantify the network organization (topology) in terms of the network theory divergence rate measure and rank the antigen importance in the full antigen correlation networks by the eigen-value centrality measure. This analysis makes possible the characterization and comparison of the IgG and IgM immune networks at birth (newborns) and adulthood (mothers) in terms of topology and node importance.
resultsComparison of the immune network topology at birth and adulthood revealed partial conservation of the IgG immune network topology, and significant reorganization of the IgM immune networks. Inspection of the antigen importance revealed some dominant (in terms of high centrality) antigens in the IgG and IgM networks at birth, which retain their importance at adulthood.
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