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A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression

BACKGROUND: Alzheimer’s disease (AD) is a chronic neuro-degenerative disruption of the brain which involves in large scale transcriptomic variation. The disease does not impact every regions of the brain at the same time, instead it progresses slowly involving somewhat sequential interaction with di...

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Autores principales: Ray, Sumanta, Hossain, Sk Md Mosaddek, Khatun, Lutfunnesa, Mukhopadhyay, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738049/
https://www.ncbi.nlm.nih.gov/pubmed/29262769
http://dx.doi.org/10.1186/s12859-017-1946-8
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author Ray, Sumanta
Hossain, Sk Md Mosaddek
Khatun, Lutfunnesa
Mukhopadhyay, Anirban
author_facet Ray, Sumanta
Hossain, Sk Md Mosaddek
Khatun, Lutfunnesa
Mukhopadhyay, Anirban
author_sort Ray, Sumanta
collection PubMed
description BACKGROUND: Alzheimer’s disease (AD) is a chronic neuro-degenerative disruption of the brain which involves in large scale transcriptomic variation. The disease does not impact every regions of the brain at the same time, instead it progresses slowly involving somewhat sequential interaction with different regions. Analysis of the expression patterns of the genes in different regions of the brain influenced in AD surely contribute for a enhanced comprehension of AD pathogenesis and shed light on the early characterization of the disease. RESULTS: Here, we have proposed a framework to identify perturbation and preservation characteristics of gene expression patterns across six distinct regions of the brain (“EC”, “HIP”, “PC”, “MTG”, “SFG”, and “VCX”) affected in AD. Co-expression modules were discovered considering a couple of regions at once. These are then analyzed to know the preservation and perturbation characteristics. Different module preservation statistics and a rank aggregation mechanism have been adopted to detect the changes of expression patterns across brain regions. Gene ontology (GO) and pathway based analysis were also carried out to know the biological meaning of preserved and perturbed modules. CONCLUSIONS: In this article, we have extensively studied the preservation patterns of co-expressed modules in six distinct brain regions affected in AD. Some modules are emerged as the most preserved while some others are detected as perturbed between a pair of brain regions. Further investigation on the topological properties of preserved and non-preserved modules reveals a substantial association amongst “betweenness centrality” and ”degree” of the involved genes. Our findings may render a deeper realization of the preservation characteristics of gene expression patterns in discrete brain regions affected by AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1946-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-57380492017-12-21 A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression Ray, Sumanta Hossain, Sk Md Mosaddek Khatun, Lutfunnesa Mukhopadhyay, Anirban BMC Bioinformatics Methodology Article BACKGROUND: Alzheimer’s disease (AD) is a chronic neuro-degenerative disruption of the brain which involves in large scale transcriptomic variation. The disease does not impact every regions of the brain at the same time, instead it progresses slowly involving somewhat sequential interaction with different regions. Analysis of the expression patterns of the genes in different regions of the brain influenced in AD surely contribute for a enhanced comprehension of AD pathogenesis and shed light on the early characterization of the disease. RESULTS: Here, we have proposed a framework to identify perturbation and preservation characteristics of gene expression patterns across six distinct regions of the brain (“EC”, “HIP”, “PC”, “MTG”, “SFG”, and “VCX”) affected in AD. Co-expression modules were discovered considering a couple of regions at once. These are then analyzed to know the preservation and perturbation characteristics. Different module preservation statistics and a rank aggregation mechanism have been adopted to detect the changes of expression patterns across brain regions. Gene ontology (GO) and pathway based analysis were also carried out to know the biological meaning of preserved and perturbed modules. CONCLUSIONS: In this article, we have extensively studied the preservation patterns of co-expressed modules in six distinct brain regions affected in AD. Some modules are emerged as the most preserved while some others are detected as perturbed between a pair of brain regions. Further investigation on the topological properties of preserved and non-preserved modules reveals a substantial association amongst “betweenness centrality” and ”degree” of the involved genes. Our findings may render a deeper realization of the preservation characteristics of gene expression patterns in discrete brain regions affected by AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1946-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-20 /pmc/articles/PMC5738049/ /pubmed/29262769 http://dx.doi.org/10.1186/s12859-017-1946-8 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
Ray, Sumanta
Hossain, Sk Md Mosaddek
Khatun, Lutfunnesa
Mukhopadhyay, Anirban
A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title_full A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title_fullStr A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title_full_unstemmed A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title_short A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
title_sort comprehensive analysis on preservation patterns of gene co-expression networks during alzheimer’s disease progression
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738049/
https://www.ncbi.nlm.nih.gov/pubmed/29262769
http://dx.doi.org/10.1186/s12859-017-1946-8
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