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阿尔茨海默病细胞周期相关分子特征和机制途径的综合功能基因组分析。

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

机构信息

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

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

出版信息

Oxid Med Cell Longev. 2021 Jul 11;2021:5552623. doi: 10.1155/2021/5552623. eCollection 2021.

Abstract

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

阿尔茨海默病(AD)与成熟神经元的细胞周期再进入有关,随后这些神经元会发生退化。本研究旨在确定细胞周期的关键调节因子及其潜在途径,以开发 AD 的最佳治疗方法。

方法

对 RNA 测序数据进行分析,以筛选细胞周期中差异表达的基因。通过加权基因相关网络分析(WGCNA)计算创建的模块与 AD 表型的相关性。使用 Pearson 相关系数(PCC)分析确定营养因子受体的特征基因。

结果

在 13679 个背景基因中,AD 与非痴呆对照相比,有 775 个细胞周期基因和 77 个营养因子受体表达差异。通过 WGCNA 构建了 4 个共表达模块,其中 turquoise 模块与 AD 的相关性最强。根据 PCC 分析,筛选出与细胞周期基因相互作用最强的 10 个特征营养受体,并随后显示在全局调控网络中。进一步鉴定了特征受体的交叉对话途径,如谷氨酸能突触、长时程增强、PI3K-Akt 和 MAPK 信号通路。

结论

我们的研究结果强调了 AD 发病机制中特征营养受体在细胞周期扰动中的作用机制途径,从而为 AD 的治疗干预提供了新的分子靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/712f/8290224/33998183a3bf/OMCL2021-5552623.001.jpg

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