Cargando…
Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocy...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232073/ https://www.ncbi.nlm.nih.gov/pubmed/25505972 http://dx.doi.org/10.1038/cti.2014.17 |
_version_ | 1782344525937639424 |
---|---|
author | Mukherjee, Sumanta Chandra, Nagasuma |
author_facet | Mukherjee, Sumanta Chandra, Nagasuma |
author_sort | Mukherjee, Sumanta |
collection | PubMed |
description | Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocyte (CTL) response to 186 influenza H1N1 genomes. To enable such analysis, we reconstruct HLA genotypes in different populations using a probabilistic method. We find that epidemic strains in general correlate with poor CTL response in populations. Our analysis shows that large populations can be classified into a small number of groups called response-types, specific to a given viral strain. Individuals of a response-type are expected to exhibit similar CTL responses. Extent of CTL responses varies significantly across different populations and increases with increase in genetic heterogeneity. Overall, our analysis presents a conceptual advance towards understanding how genetic heterogeneity influences disease susceptibility in individuals and in populations. We also obtain lists of top-ranking epitopes and proteins, ranked on the basis of conservation, antigenic cross-reactivity and population coverage, which provide ready short-lists for rational vaccine design. Our method is fairly generic and has the potential to be applied for studying other viruses. |
format | Online Article Text |
id | pubmed-4232073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42320732014-12-11 Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis Mukherjee, Sumanta Chandra, Nagasuma Clin Transl Immunology Original Article Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocyte (CTL) response to 186 influenza H1N1 genomes. To enable such analysis, we reconstruct HLA genotypes in different populations using a probabilistic method. We find that epidemic strains in general correlate with poor CTL response in populations. Our analysis shows that large populations can be classified into a small number of groups called response-types, specific to a given viral strain. Individuals of a response-type are expected to exhibit similar CTL responses. Extent of CTL responses varies significantly across different populations and increases with increase in genetic heterogeneity. Overall, our analysis presents a conceptual advance towards understanding how genetic heterogeneity influences disease susceptibility in individuals and in populations. We also obtain lists of top-ranking epitopes and proteins, ranked on the basis of conservation, antigenic cross-reactivity and population coverage, which provide ready short-lists for rational vaccine design. Our method is fairly generic and has the potential to be applied for studying other viruses. Nature Publishing Group 2014-08-08 /pmc/articles/PMC4232073/ /pubmed/25505972 http://dx.doi.org/10.1038/cti.2014.17 Text en Copyright © 2014 Australasian Society for Immunology Inc. http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Original Article Mukherjee, Sumanta Chandra, Nagasuma Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title | Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title_full | Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title_fullStr | Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title_full_unstemmed | Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title_short | Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis |
title_sort | grouping of large populations into few ctl immune ‘response-types' from influenza h1n1 genome analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232073/ https://www.ncbi.nlm.nih.gov/pubmed/25505972 http://dx.doi.org/10.1038/cti.2014.17 |
work_keys_str_mv | AT mukherjeesumanta groupingoflargepopulationsintofewctlimmuneresponsetypesfrominfluenzah1n1genomeanalysis AT chandranagasuma groupingoflargepopulationsintofewctlimmuneresponsetypesfrominfluenzah1n1genomeanalysis |