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Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci
Glycans are biologically important structures synthesised by glycosyltransferase (GT) enzymes. Disruptive genetic null variants in GT genes can lead to serious illness but benign phenotypes are also seen, including antigenic differences on the red blood cell (RBC) surface, giving rise to blood group...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902498/ https://www.ncbi.nlm.nih.gov/pubmed/29662110 http://dx.doi.org/10.1038/s41598-018-24445-5 |
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author | Jöud, Magnus Möller, Mattias Olsson, Martin L. |
author_facet | Jöud, Magnus Möller, Mattias Olsson, Martin L. |
author_sort | Jöud, Magnus |
collection | PubMed |
description | Glycans are biologically important structures synthesised by glycosyltransferase (GT) enzymes. Disruptive genetic null variants in GT genes can lead to serious illness but benign phenotypes are also seen, including antigenic differences on the red blood cell (RBC) surface, giving rise to blood groups. To characterise known and potential carbohydrate blood group antigens without a known underlying gene, we searched public databases for human GT loci and investigated their variation in the 1000 Genomes Project (1000 G). We found 244 GT genes, distributed over 44 families. All but four GT genes had missense variants or other variants predicted to alter the amino acid sequence, and 149 GT genes (61%) had variants expected to cause null alleles, often associated with antigen-negative blood group phenotypes. In RNA-Seq data generated from erythroid cells, 155 GT genes were expressed at a transcript level comparable to, or higher than, known carbohydrate blood group loci. Filtering for GT genes predicted to cause a benign phenotype, a set of 30 genes remained, 16 of which had variants in 1000 G expected to result in null alleles. Our results identify potential blood group loci and could serve as a basis for characterisation of the genetic background underlying carbohydrate RBC antigens. |
format | Online Article Text |
id | pubmed-5902498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59024982018-04-25 Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci Jöud, Magnus Möller, Mattias Olsson, Martin L. Sci Rep Article Glycans are biologically important structures synthesised by glycosyltransferase (GT) enzymes. Disruptive genetic null variants in GT genes can lead to serious illness but benign phenotypes are also seen, including antigenic differences on the red blood cell (RBC) surface, giving rise to blood groups. To characterise known and potential carbohydrate blood group antigens without a known underlying gene, we searched public databases for human GT loci and investigated their variation in the 1000 Genomes Project (1000 G). We found 244 GT genes, distributed over 44 families. All but four GT genes had missense variants or other variants predicted to alter the amino acid sequence, and 149 GT genes (61%) had variants expected to cause null alleles, often associated with antigen-negative blood group phenotypes. In RNA-Seq data generated from erythroid cells, 155 GT genes were expressed at a transcript level comparable to, or higher than, known carbohydrate blood group loci. Filtering for GT genes predicted to cause a benign phenotype, a set of 30 genes remained, 16 of which had variants in 1000 G expected to result in null alleles. Our results identify potential blood group loci and could serve as a basis for characterisation of the genetic background underlying carbohydrate RBC antigens. Nature Publishing Group UK 2018-04-16 /pmc/articles/PMC5902498/ /pubmed/29662110 http://dx.doi.org/10.1038/s41598-018-24445-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jöud, Magnus Möller, Mattias Olsson, Martin L. Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title | Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title_full | Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title_fullStr | Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title_full_unstemmed | Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title_short | Identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
title_sort | identification of human glycosyltransferase genes expressed in erythroid cells predicts potential carbohydrate blood group loci |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902498/ https://www.ncbi.nlm.nih.gov/pubmed/29662110 http://dx.doi.org/10.1038/s41598-018-24445-5 |
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