Integrative Functional Genomic Analysis of Molecular Signatures and Mechanistic Pathways in the Cell Cycle Underlying Alzheimer's Disease.


Journal

Oxidative medicine and cellular longevity
ISSN: 1942-0994
Titre abrégé: Oxid Med Cell Longev
Pays: United States
ID NLM: 101479826

Informations de publication

Date de publication:
2021
Historique:
received: 27 02 2021
accepted: 25 06 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 29 1 2022
Statut: epublish

Résumé

Alzheimer's disease (AD) is associated with cell cycle reentry of mature neurons that subsequently undergo degeneration. This study is aimed to identify key regulators of the cell cycle and their underlying pathways for developing optimal treatment of AD. RNA sequencing data were profiled to screen for differentially expressed genes in the cell cycle. Correlation of created modules with AD phenotype was computed by weight gene correlation network analysis (WGCNA). Signature genes for trophic factor receptors were determined using Pearson correlation coefficient (PCC) analysis. Among the 13,679 background genes, 775 cell cycle genes and 77 trophic factor receptors were differentially expressed in AD versus nondementia controls. Four coexpression modules were constructed by WGCNA, among which the turquoise module had the strongest correlation with AD. According to PCC analysis, 10 signature trophic receptors most strongly interacting with cell cycle genes were filtered and subsequently displayed in the global regulatory network. Further cross-talking pathways of signature receptors, such as glutamatergic synapse, long-term potentiation, PI3K-Akt, and MAPK signaling pathways, were identified. Our findings highlighted the mechanistic pathways of signature trophic receptors in cell cycle perturbation underlying AD pathogenesis, thereby providing new molecular targets for therapeutic intervention in AD.

Identifiants

pubmed: 34336099
doi: 10.1155/2021/5552623
pmc: PMC8290224
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5552623

Informations de copyright

Copyright © 2021 Zhike Zhou et al.

Déclaration de conflit d'intérêts

The author(s) declare(s) that they have no conflicts of interest.

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Auteurs

Zhike Zhou (Z)

Department of Geriatrics, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Jun Bai (J)

Cancer Systems Biology Center, The China-Japan Union Hospital, Jilin University, Changchun, 130033 Jilin, China.

Shanshan Zhong (S)

Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Rongwei Zhang (R)

Department of Geriatrics, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Kexin Kang (K)

Department of Geriatrics, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Xiaoqian Zhang (X)

Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Ying Xu (Y)

Cancer Systems Biology Center, The China-Japan Union Hospital, Jilin University, Changchun, 130033 Jilin, China.
Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, USA.

Chuansheng Zhao (C)

Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, 110001 Liaoning, China.

Mei Zhao (M)

Department of Cardiology, The Shengjing Affiliated Hospital, China Medical University, Shenyang, 110004 Liaoning, China.

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