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Preservation affinity in consensus modules among stages of HIV-1 progression

BACKGROUND: Analysis of gene expression data provides valuable insights into disease mechanism. Investigating relationship among co-expression modules of different stages is a meaningful tool to understand the way in which a disease progresses. Identifying topological preservation of modular structu...

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Autores principales: Mosaddek Hossain, Sk Md, Ray, Sumanta, Mukhopadhyay, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5359929/
https://www.ncbi.nlm.nih.gov/pubmed/28320358
http://dx.doi.org/10.1186/s12859-017-1590-3
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author Mosaddek Hossain, Sk Md
Ray, Sumanta
Mukhopadhyay, Anirban
author_facet Mosaddek Hossain, Sk Md
Ray, Sumanta
Mukhopadhyay, Anirban
author_sort Mosaddek Hossain, Sk Md
collection PubMed
description BACKGROUND: Analysis of gene expression data provides valuable insights into disease mechanism. Investigating relationship among co-expression modules of different stages is a meaningful tool to understand the way in which a disease progresses. Identifying topological preservation of modular structure also contributes to that understanding. METHODS: HIV-1 disease provides a well-documented progression pattern through three stages of infection: acute, chronic and non-progressor. In this article, we have developed a novel framework to describe the relationship among the consensus (or shared) co-expression modules for each pair of HIV-1 infection stages. The consensus modules are identified to assess the preservation of network properties. We have investigated the preservation patterns of co-expression networks during HIV-1 disease progression through an eigengene-based approach. RESULTS: We discovered that the expression patterns of consensus modules have a strong preservation during the transitions of three infection stages. In particular, it is noticed that between acute and non-progressor stages the preservation is slightly more than the other pair of stages. Moreover, we have constructed eigengene networks for the identified consensus modules and observed the preservation structure among them. Some consensus modules are marked as preserved in two pairs of stages and are analyzed further to form a higher order meta-network consisting of a group of preserved modules. Additionally, we observed that module membership (MM) values of genes within a module are consistent with the preservation characteristics. The MM values of genes within a pair of preserved modules show strong correlation patterns across two infection stages. CONCLUSIONS: We have performed an extensive analysis to discover preservation pattern of co-expression network constructed from microarray gene expression data of three different HIV-1 progression stages. The preservation pattern is investigated through identification of consensus modules in each pair of infection stages. It is observed that the preservation of the expression pattern of consensus modules remains more prominent during the transition of infection from acute stage to non-progressor stage. Additionally, we observed that the module membership values of genes are coherent with preserved modules across the HIV-1 progression stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1590-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-53599292017-03-22 Preservation affinity in consensus modules among stages of HIV-1 progression Mosaddek Hossain, Sk Md Ray, Sumanta Mukhopadhyay, Anirban BMC Bioinformatics Methodology Article BACKGROUND: Analysis of gene expression data provides valuable insights into disease mechanism. Investigating relationship among co-expression modules of different stages is a meaningful tool to understand the way in which a disease progresses. Identifying topological preservation of modular structure also contributes to that understanding. METHODS: HIV-1 disease provides a well-documented progression pattern through three stages of infection: acute, chronic and non-progressor. In this article, we have developed a novel framework to describe the relationship among the consensus (or shared) co-expression modules for each pair of HIV-1 infection stages. The consensus modules are identified to assess the preservation of network properties. We have investigated the preservation patterns of co-expression networks during HIV-1 disease progression through an eigengene-based approach. RESULTS: We discovered that the expression patterns of consensus modules have a strong preservation during the transitions of three infection stages. In particular, it is noticed that between acute and non-progressor stages the preservation is slightly more than the other pair of stages. Moreover, we have constructed eigengene networks for the identified consensus modules and observed the preservation structure among them. Some consensus modules are marked as preserved in two pairs of stages and are analyzed further to form a higher order meta-network consisting of a group of preserved modules. Additionally, we observed that module membership (MM) values of genes within a module are consistent with the preservation characteristics. The MM values of genes within a pair of preserved modules show strong correlation patterns across two infection stages. CONCLUSIONS: We have performed an extensive analysis to discover preservation pattern of co-expression network constructed from microarray gene expression data of three different HIV-1 progression stages. The preservation pattern is investigated through identification of consensus modules in each pair of infection stages. It is observed that the preservation of the expression pattern of consensus modules remains more prominent during the transition of infection from acute stage to non-progressor stage. Additionally, we observed that the module membership values of genes are coherent with preserved modules across the HIV-1 progression stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1590-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-20 /pmc/articles/PMC5359929/ /pubmed/28320358 http://dx.doi.org/10.1186/s12859-017-1590-3 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Mosaddek Hossain, Sk Md
Ray, Sumanta
Mukhopadhyay, Anirban
Preservation affinity in consensus modules among stages of HIV-1 progression
title Preservation affinity in consensus modules among stages of HIV-1 progression
title_full Preservation affinity in consensus modules among stages of HIV-1 progression
title_fullStr Preservation affinity in consensus modules among stages of HIV-1 progression
title_full_unstemmed Preservation affinity in consensus modules among stages of HIV-1 progression
title_short Preservation affinity in consensus modules among stages of HIV-1 progression
title_sort preservation affinity in consensus modules among stages of hiv-1 progression
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5359929/
https://www.ncbi.nlm.nih.gov/pubmed/28320358
http://dx.doi.org/10.1186/s12859-017-1590-3
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