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基因共表达网络的侵蚀揭示了晚发性阿尔茨海默病中免疫系统过程的失调。

Erosion of Gene Co-expression Networks Reveal Deregulation of Immune System Processes in Late-Onset Alzheimer's Disease.

作者信息

Malamon John Stephen, Kriete Andres

机构信息

Bossone Research Center, School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.

出版信息

Front Neurosci. 2020 Mar 20;14:228. doi: 10.3389/fnins.2020.00228. eCollection 2020.

Abstract

We have applied a novel and integrative analysis framework for next-generation sequencing (NGS) data to 503 human subjects provided by the Religious Orders Study and Memory and Aging Project (ROSMAP) to examine changes in transcriptomic organization and common variants in association with late-onset Alzheimer's disease (LOAD). Our framework identified seven reproducible, co-regulated modules after quality control (QC), clinical segregation, preservation filtering, and functional ontology analysis. These modules were specifically enriched in several innate and adaptive immune system processes, the synaptic vesicle cycle, and Hippo signaling. Topological and functional erosion of these modules due to shedding of genes and loss of in-module connectivity was diagnostic of disease progression. Perturbation analysis revealed that only 1% of eQTLs overlapped genes participating in these co-regulated modules. Common variants nevertheless identified components of the immune systems like human leukocyte antigen (HLA) complex and microtubule-associated protein tau (MAPT) regions in association with LOAD. Our results implicate microglial function, adaptive immune response, and the structural degeneration of neurons as contributors to the transcriptional deregulation observed along with common genetic variants in the progression of LOAD.

摘要

我们将一种用于下一代测序(NGS)数据的新颖综合分析框架应用于宗教秩序研究与记忆与衰老项目(ROSMAP)提供的503名人类受试者,以研究转录组组织变化和与晚发性阿尔茨海默病(LOAD)相关的常见变异。我们的框架在质量控制(QC)、临床分离、保存过滤和功能本体分析后,识别出七个可重复的、共同调控的模块。这些模块在几个先天性和适应性免疫系统过程、突触小泡循环和Hippo信号通路中特别富集。由于基因脱落和模块内连接性丧失导致这些模块的拓扑和功能侵蚀是疾病进展的诊断指标。扰动分析表明,只有1%的表达数量性状基因座(eQTL)与参与这些共同调控模块的基因重叠。然而,常见变异确定了与LOAD相关的免疫系统成分,如人类白细胞抗原(HLA)复合体和微管相关蛋白tau(MAPT)区域。我们的结果表明,小胶质细胞功能、适应性免疫反应和神经元的结构退化是LOAD进展过程中观察到的转录失调以及常见遗传变异的促成因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/7099620/6e5624413cb9/fnins-14-00228-g001.jpg

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