Literature DB >> 24811270

Cynomolgus and pigtail macaque IgG subclasses: characterization of IGHG genes and computational analysis of IgG/Fc receptor binding affinity.

Doan C Nguyen1, Rashesh Sanghvi, Franco Scinicariello, Joanna Pulit-Penaloza, Nicole Hill, Roberta Attanasio.   

Abstract

Macaques are the most widely used experimental nonhuman primate (NHP) species. Rhesus (Macaca mulatta, Macmul), cynomolgus (Macaca fascicularis, Macfas), and pigtail (Macaca nemestrina, Macnem) macaques continue to be popular models for vaccine and infectious diseases research, especially HIV infection and AIDS, and for the development of antibody-based therapeutic strategies. Increased understanding of the immune system of these species is necessary for their optimal use as models of human infections and intervention. In the past few years, the antibody/Fc receptor system has been characterized in a stepwise manner in these species. We have continued this characterization by identifying the four IG heavy gamma (IGHG) genes of Macfas and Macnem in this study. Our results show that these genes share a high degree of similarity with those from other NHP species, while presenting consistent differences when compared to human IGHG genes. Furthermore, comparison of Macfas IGHG genes with those described in other studies suggests the existence of polymorphism. Using sequence- and structure-based computational tools, we performed in silico analysis on multiple polymorphic Macfas IgG and their interactions with human IgG Fc receptors (FcγR), thus predicting that Macfas IGHG polymorphisms influence IgG protein stability and/or binding affinity towards FcγR. The presence of macaque IGHG polymorphisms and macaque/human amino acid changes at locations potentially involved in antibody functional properties indicate the need for cautious design and data interpretation of studies in these models, possibly requiring the characterization of antibody/Fc receptor interactions at the individual level.

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Year:  2014        PMID: 24811270     DOI: 10.1007/s00251-014-0775-4

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


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