Cargando…
Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations
Red blood cells (RBCs) play a critical role in oxygen transport, and are the focus of important diseases including malaria and the haemoglobinopathies. Proteins at the RBC surface can determine susceptibility to disease, however previous studies classifying the RBC proteome have not used specific st...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754445/ https://www.ncbi.nlm.nih.gov/pubmed/31552303 http://dx.doi.org/10.1038/s42003-019-0596-y |
_version_ | 1783453078457942016 |
---|---|
author | Ravenhill, Benjamin J. Kanjee, Usheer Ahouidi, Ambroise Nobre, Luis Williamson, James Goldberg, Jonathan M. Antrobus, Robin Dieye, Tandakha Duraisingh, Manoj T. Weekes, Michael P. |
author_facet | Ravenhill, Benjamin J. Kanjee, Usheer Ahouidi, Ambroise Nobre, Luis Williamson, James Goldberg, Jonathan M. Antrobus, Robin Dieye, Tandakha Duraisingh, Manoj T. Weekes, Michael P. |
author_sort | Ravenhill, Benjamin J. |
collection | PubMed |
description | Red blood cells (RBCs) play a critical role in oxygen transport, and are the focus of important diseases including malaria and the haemoglobinopathies. Proteins at the RBC surface can determine susceptibility to disease, however previous studies classifying the RBC proteome have not used specific strategies directed at enriching cell surface proteins. Furthermore, there has been no systematic analysis of variation in abundance of RBC surface proteins between genetically disparate human populations. These questions are important to inform not only basic RBC biology but additionally to identify novel candidate receptors for malarial parasites. Here, we use ‘plasma membrane profiling’ and tandem mass tag-based mass spectrometry to enrich and quantify primary RBC cell surface proteins from two sets of nine donors from the UK or Senegal. We define a RBC surface proteome and identify potential Plasmodium receptors based on either diminished protein abundance, or increased variation in RBCs from West African individuals. |
format | Online Article Text |
id | pubmed-6754445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67544452019-09-24 Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations Ravenhill, Benjamin J. Kanjee, Usheer Ahouidi, Ambroise Nobre, Luis Williamson, James Goldberg, Jonathan M. Antrobus, Robin Dieye, Tandakha Duraisingh, Manoj T. Weekes, Michael P. Commun Biol Article Red blood cells (RBCs) play a critical role in oxygen transport, and are the focus of important diseases including malaria and the haemoglobinopathies. Proteins at the RBC surface can determine susceptibility to disease, however previous studies classifying the RBC proteome have not used specific strategies directed at enriching cell surface proteins. Furthermore, there has been no systematic analysis of variation in abundance of RBC surface proteins between genetically disparate human populations. These questions are important to inform not only basic RBC biology but additionally to identify novel candidate receptors for malarial parasites. Here, we use ‘plasma membrane profiling’ and tandem mass tag-based mass spectrometry to enrich and quantify primary RBC cell surface proteins from two sets of nine donors from the UK or Senegal. We define a RBC surface proteome and identify potential Plasmodium receptors based on either diminished protein abundance, or increased variation in RBCs from West African individuals. Nature Publishing Group UK 2019-09-20 /pmc/articles/PMC6754445/ /pubmed/31552303 http://dx.doi.org/10.1038/s42003-019-0596-y Text en © The Author(s) 2019 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 Ravenhill, Benjamin J. Kanjee, Usheer Ahouidi, Ambroise Nobre, Luis Williamson, James Goldberg, Jonathan M. Antrobus, Robin Dieye, Tandakha Duraisingh, Manoj T. Weekes, Michael P. Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title | Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title_full | Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title_fullStr | Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title_full_unstemmed | Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title_short | Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
title_sort | quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754445/ https://www.ncbi.nlm.nih.gov/pubmed/31552303 http://dx.doi.org/10.1038/s42003-019-0596-y |
work_keys_str_mv | AT ravenhillbenjaminj quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT kanjeeusheer quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT ahouidiambroise quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT nobreluis quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT williamsonjames quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT goldbergjonathanm quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT antrobusrobin quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT dieyetandakha quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT duraisinghmanojt quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations AT weekesmichaelp quantitativecomparativeanalysisofhumanerythrocytesurfaceproteinsbetweenindividualsfromtwogeneticallydistinctpopulations |