Literature DB >> 25566257

Immune system modeling and analysis.

Ramit Mehr1.   

Abstract

Entities:  

Keywords:  immune system; immunomics; lymphocytes; mathematical modeling; repertoire

Year:  2014        PMID: 25566257      PMCID: PMC4271695          DOI: 10.3389/fimmu.2014.00644

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


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Immunologists currently face daunting challenges, as a result of the rapid development of new methods for immunological data collection, from high-throughput phenotyping to deep sequencing (1). These and similar methods keep generating humongous amounts of immunological data, which in turn challenge the theoretical immunology community to develop methods for data organization and analysis and mathematical and computational modeling. These challenges and methods were discussed in recent workshops, for example the Lymphocyte Repertoire Workshop (Institute of Advanced Studies of the Hebrew University, Jerusalem, early 2012, organized by myself), and the International Seminar on Multi-Scale Physics of Lymphocyte Development (Max Planck Institute for the Physics of Complex Systems, Dresden, Summer 2012, organized by M. Or-Guil et al.). At about the same time, the organizers mentioned above were approached by the Frontiers editorial staff with the idea for a “Frontiers in Immunology” research topic, which was to provide a comprehensive, online, open access snapshot of the current state of the art on immune system modeling and analysis. The research topic was launched, edited, and finalized with the kind help of co-editors Rob de Boer, Miles Davenport, Carmen Molina-Paris, Michal Or-Guil, and Veronika Zarnitsyna. It has been a success, with 35 papers accepted for publication, which attests to the timeliness of the topic. The papers included in this Research Topic reflect many of the issues that theoretical immunologists are struggling with. Some of the papers address old questions – such as the targeting of somatic hypermutation (2) and the resulting diversity of B cell repertoires (3, 4), how clonal selection operates in germinal centers (5–8); or how the T cell compartment develops (9–11) and changes with aging (12). However, these papers offer new viewpoints, which emerged thanks to the immunological “data revolution”, in particular next-generation sequencing of lymphocyte repertoires. Others address new methods of extracting (13–15) and analyzing (16–18) comprehensive T and B cell phenotype and repertoire data, and delineate some of the first insights gleaned from sequencing studies regarding how these repertoires emerge, evolve, and function (19–25). Natural killer cells (26), myeloid cells (27), and structural immunology (28–31) are also represented. My thanks go to the above-mentioned co-editors, to the responsive and efficient Frontiers editorial staff, to all the authors who contributed papers, and to the reviewers whose work has made publication of all these papers possible.

Conflict of Interest Statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  31 in total

1.  A Temporal Model of Human IgE and IgG Antibody Function.

Authors:  Andrew M Collins; Katherine J L Jackson
Journal:  Front Immunol       Date:  2013-08-09       Impact factor: 7.561

2.  CD4(+) T Cell-Receptor Repertoire Diversity is Compromised in the Spleen but Not in the Bone Marrow of Aged Mice Due to Private and Sporadic Clonal Expansions.

Authors:  Eric Shifrut; Kuti Baruch; Hilah Gal; Wilfred Ndifon; Aleksandra Deczkowska; Michal Schwartz; Nir Friedman
Journal:  Front Immunol       Date:  2013-11-19       Impact factor: 7.561

Review 3.  The structural basis of antibody-antigen recognition.

Authors:  Inbal Sela-Culang; Vered Kunik; Yanay Ofran
Journal:  Front Immunol       Date:  2013-10-08       Impact factor: 7.561

Review 4.  A major hindrance in antibody affinity maturation investigation: we never succeeded in falsifying the hypothesis of single-step selection.

Authors:  Michal Or-Guil; Jose Faro
Journal:  Front Immunol       Date:  2014-05-26       Impact factor: 7.561

5.  Reconstructing a B-Cell Clonal Lineage. II. Mutation, Selection, and Affinity Maturation.

Authors:  Thomas B Kepler; Supriya Munshaw; Kevin Wiehe; Ruijun Zhang; Jae-Sung Yu; Christopher W Woods; Thomas N Denny; Georgia D Tomaras; S Munir Alam; M Anthony Moody; Garnett Kelsoe; Hua-Xin Liao; Barton F Haynes
Journal:  Front Immunol       Date:  2014-04-22       Impact factor: 7.561

6.  Multi Step Selection in Ig H Chains is Initially Focused on CDR3 and Then on Other CDR Regions.

Authors:  Gilad Liberman; Jennifer Benichou; Lea Tsaban; Jacob Glanville; Yoram Louzoun
Journal:  Front Immunol       Date:  2013-09-17       Impact factor: 7.561

7.  Large-scale analysis of B-cell epitopes on influenza virus hemagglutinin - implications for cross-reactivity of neutralizing antibodies.

Authors:  Jing Sun; Ulrich J Kudahl; Christian Simon; Zhiwei Cao; Ellis L Reinherz; Vladimir Brusic
Journal:  Front Immunol       Date:  2014-02-07       Impact factor: 7.561

Review 8.  Complementarity of Binding Motifs is a General Property of HLA-A and HLA-B Molecules and Does Not Seem to Effect HLA Haplotype Composition.

Authors:  Xiangyu Rao; Rob J De Boer; Debbie van Baarle; Martin Maiers; Can Kesmir
Journal:  Front Immunol       Date:  2013-11-14       Impact factor: 7.561

Review 9.  Mathematical Models of the Impact of IL2 Modulation Therapies on T Cell Dynamics.

Authors:  Kalet León; Karina García-Martínez; Tania Carmenate
Journal:  Front Immunol       Date:  2013-12-11       Impact factor: 7.561

Review 10.  Receptor Pre-Clustering and T cell Responses: Insights into Molecular Mechanisms.

Authors:  Mario Castro; Hisse M van Santen; María Férez; Balbino Alarcón; Grant Lythe; Carmen Molina-París
Journal:  Front Immunol       Date:  2014-04-30       Impact factor: 7.561

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