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Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease
Background: The pathogenesis of Alzheimer's disease is associated with dysregulation at different levels from transcriptome to cellular functioning. Such complexity necessitates investigations of disease etiology to be carried out considering multiple aspects of the disease and the use of indep...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513962/ https://www.ncbi.nlm.nih.gov/pubmed/31133844 http://dx.doi.org/10.3389/fnagi.2019.00101 |
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author | Meng, Guofeng Mei, Hongkang |
author_facet | Meng, Guofeng Mei, Hongkang |
author_sort | Meng, Guofeng |
collection | PubMed |
description | Background: The pathogenesis of Alzheimer's disease is associated with dysregulation at different levels from transcriptome to cellular functioning. Such complexity necessitates investigations of disease etiology to be carried out considering multiple aspects of the disease and the use of independent strategies. The established works more emphasized on the structural organization of gene regulatory network while neglecting the internal regulation changes. Methods: Applying a strategy different from popularly used co-expression network analysis, this study investigated the transcriptional dysregulations during the transition from normal to disease states. Results: Ninety- seven genes were predicted as dysregulated genes, which were also associated with clinical outcomes of Alzheimer's disease. Both the co-expression and differential co-expression analysis suggested these genes to be interconnected as a core network and that their regulations were strengthened during the transition to disease states. Functional studies suggested the dysregulated genes to be associated with aging and synaptic function. Further, we checked the conservation of the gene co-expression and found that human and mouse brain might have divergent transcriptional co-regulation even when they had conserved gene expression profiles. Conclusion: Overall, our study reveals a core network of transcriptional dysregulation associated with the progression of Alzheimer's disease by affecting the aging and synaptic functions related genes; the gene regulation is not conserved in the human and mouse brains. |
format | Online Article Text |
id | pubmed-6513962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65139622019-05-27 Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease Meng, Guofeng Mei, Hongkang Front Aging Neurosci Neuroscience Background: The pathogenesis of Alzheimer's disease is associated with dysregulation at different levels from transcriptome to cellular functioning. Such complexity necessitates investigations of disease etiology to be carried out considering multiple aspects of the disease and the use of independent strategies. The established works more emphasized on the structural organization of gene regulatory network while neglecting the internal regulation changes. Methods: Applying a strategy different from popularly used co-expression network analysis, this study investigated the transcriptional dysregulations during the transition from normal to disease states. Results: Ninety- seven genes were predicted as dysregulated genes, which were also associated with clinical outcomes of Alzheimer's disease. Both the co-expression and differential co-expression analysis suggested these genes to be interconnected as a core network and that their regulations were strengthened during the transition to disease states. Functional studies suggested the dysregulated genes to be associated with aging and synaptic function. Further, we checked the conservation of the gene co-expression and found that human and mouse brain might have divergent transcriptional co-regulation even when they had conserved gene expression profiles. Conclusion: Overall, our study reveals a core network of transcriptional dysregulation associated with the progression of Alzheimer's disease by affecting the aging and synaptic functions related genes; the gene regulation is not conserved in the human and mouse brains. Frontiers Media S.A. 2019-05-07 /pmc/articles/PMC6513962/ /pubmed/31133844 http://dx.doi.org/10.3389/fnagi.2019.00101 Text en Copyright © 2019 Meng and Mei. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Meng, Guofeng Mei, Hongkang Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title | Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title_full | Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title_fullStr | Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title_full_unstemmed | Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title_short | Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's Disease |
title_sort | transcriptional dysregulation study reveals a core network involving the progression of alzheimer's disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513962/ https://www.ncbi.nlm.nih.gov/pubmed/31133844 http://dx.doi.org/10.3389/fnagi.2019.00101 |
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