HLA-G variability and haplotypes detected by massively parallel sequencing procedures in the geographicaly distinct population samples of Brazil and Cyprus.

Autor: Castelli EC; Department of Pathology, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil. Electronic address: castelli@fmb.unesp.br., Gerasimou P; Karaiskakio Foundation, Nicosia, Cyprus., Paz MA; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil., Ramalho J; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil., Porto IOP; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil., Lima THA; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil., Souza AS; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (UNIPEX), Sector 5, School of Medicine, UNESP - Univ. Estadual Paulista, Botucatu, State of São Paulo, Brazil., Veiga-Castelli LC; Division of Clinical Immunology, Department of Medicine, School of Medicine of Ribeirão Preto, University of the State of São Paulo (USP), Ribeirão Preto, State of São Paulo, Brazil., Collares CVA; Division of Clinical Immunology, Department of Medicine, School of Medicine of Ribeirão Preto, University of the State of São Paulo (USP), Ribeirão Preto, State of São Paulo, Brazil., Donadi EA; Division of Clinical Immunology, Department of Medicine, School of Medicine of Ribeirão Preto, University of the State of São Paulo (USP), Ribeirão Preto, State of São Paulo, Brazil., Mendes-Junior CT; Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil., Costeas P; Karaiskakio Foundation, Nicosia, Cyprus.
Jazyk: angličtina
Zdroj: Molecular immunology [Mol Immunol] 2017 Mar; Vol. 83, pp. 115-126. Date of Electronic Publication: 2017 Jan 27.
DOI: 10.1016/j.molimm.2017.01.020
Abstrakt: The HLA-G molecule presents immunomodulatory properties that might inhibit immune responses when interacting with specific Natural Killer and T cell receptors, such as KIR2DL4, ILT2 and ILT4. Thus, HLA-G might influence the outcome of situations in which fine immune system modulation is required, such as autoimmune diseases, transplants, cancer and pregnancy. The majority of the studies regarding the HLA-G gene variability so far was restricted to a specific gene segment (i.e., promoter, coding or 3' untranslated region), and was performed by using Sanger sequencing and probabilistic models to infer haplotypes. Here we propose a massively parallel sequencing (NGS) with a bioinformatics strategy to evaluate the entire HLA-G regulatory and coding segments, with haplotypes inferred relying more on the straightforward haplotyping capabilities of NGS, and less on probabilistic models. Then, HLA-G variability was surveyed in two admixed population samples of distinct geographical regions and demographic backgrounds, Cyprus and Brazil. Most haplotypes (promoters, coding, 3'UTR and extended ones) were detected both in Brazil and Cyprus and were identical to the ones already described by probabilistic models, indicating that these haplotypes are quite old and may be present worldwide.
(Copyright © 2017 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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