scholarly journals Transcriptional dysregulation study reveals a core network involving the genesis for Alzheimer’s disease

2017 ◽  
Author(s):  
Guofeng Meng ◽  
Hongkang Mei

AbstractBackgroundThe 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.MethodsApplying a strategy different from popularly used co-expression network analysis, this study investigated the transcriptional dysregulations during the transition from normal to disease states.Results97 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 evolutionary 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.ConclusionOverall, our study reveals a profile of transcriptional dysregulation in the genesis of Alzheimer’s disease by forming a core network with altered regulation; the core network is associated with Alzheimer’s diseases by affecting the aging and synaptic functions related genes; the gene regulation in brain may not be conservative between human and mouse.

2007 ◽  
Vol 1127 ◽  
pp. 127-135 ◽  
Author(s):  
Wendy M. Brooks ◽  
Patrick J. Lynch ◽  
Catherine C. Ingle ◽  
Alexander Hatton ◽  
Piers C. Emson ◽  
...  

2014 ◽  
Vol 29 (6) ◽  
pp. 526-532 ◽  
Author(s):  
Bingqian Ding ◽  
Yan Xi ◽  
Ming Gao ◽  
Zhenjiang Li ◽  
Chenyang Xu ◽  
...  

2019 ◽  
Vol 84 ◽  
pp. 98-108 ◽  
Author(s):  
Elaheh Moradi ◽  
Mikael Marttinen ◽  
Tomi Häkkinen ◽  
Mikko Hiltunen ◽  
Matti Nykter

2020 ◽  
Vol 21 (3) ◽  
pp. 1126 ◽  
Author(s):  
Martina Romagnoli ◽  
Elisa Porcellini ◽  
Ilaria Carbone ◽  
Robert Veerhuis ◽  
Federico Licastro

Among environmental factors likely associated with Alzheimer’s disease (AD), persistent virus infections, and age-related progressive decline of immune competence might play a pivotal role. However, AD antimicrobial brain immune responses are poorly investigated. The present study focused on genes involved in antimicrobial defenses, especially against virus infections, in the AD brain. In particular, mRNA levels of IRF7, MED23, IL28B, and IFN-α genes were analyzed in hippocampus and temporal cortex brain samples from AD and non-demented controls. All subjects were also genotyped for APOE ε, IRF7, MED23, and IL28B gene polymorphisms. Most AD patients showed decreased mRNA levels of all investigated genes in the hippocampus and temporal cortex. However, a small group of AD patients showed increased hippocampal mRNA expression of MED23, IL28B, and IFN-α. mRNA levels of MED23, IL28B, IFN-α from the hippocampus and those of MED23 from the temporal cortex were further decreased in APOE ε4 allele AD carriers. Moreover, rs6598008 polymorphism of IRF7 was significantly associated with decreased hippocampal expression of IRF7, MED23, IL28B, and IFN-α. These findings suggest that AD brains show impaired innate antimicrobial gene expression profiles, and individual genetic makeup, such as positivity for the APOE ε4 and IRF7 A alleles, might affect brain immune efficiency.


2022 ◽  
Author(s):  
Hu Zeng ◽  
Jiahao Huang ◽  
Haowen Zhou ◽  
William J. Meilandt ◽  
Borislav Dejanovic ◽  
...  

Amyloid-β plaques and neurofibrillary tau tangles are the neuropathologic hallmarks of Alzheimer's disease (AD), but the spatiotemporal cellular responses and molecular mechanisms underlying AD pathophysiology remain poorly understood. Here we introduce STARmap PLUS to simultaneously map single-cell transcriptional states and disease marker proteins in brain tissues of AD mouse models at subcellular resolution (200 nm). This high-resolution spatial transcriptomics map revealed a core-shell structure where disease-associated microglia (DAM) closely contact amyloid-β plaques, whereas disease-associated astrocytes (DAA) and oligodendrocyte precursor cells (OPC) are enriched in the outer shells surrounding the plaque-DAM complex. Hyperphosphorylated tau emerged mainly in excitatory neurons in the CA1 region accompanied by the infiltration of oligodendrocyte subtypes into the axon bundles of hippocampal alveus. The integrative STARmap PLUS method bridges single-cell gene expression profiles with tissue histopathology at subcellular resolution, providing an unprecedented roadmap to pinpoint the molecular and cellular mechanisms of AD pathology and neurodegeneration.


2020 ◽  
Author(s):  
Shahan Mamoor

We sought to understand, at the systems level and in an unbiased fashion, how gene expression was most different in the brains of patients with Alzheimer’s Disease (AD) by mining published microarray datasets (1, 2). Comparing global gene expression profiles between patient and control revealed that a set of 84 genes were expressed at significantly different levels in the middle temporal gyrus (MTG) of patients with Alzheimer’s Disease (1, 2). We used computational analyses to classify these genes into known pathways and existing gene sets, and to describe the major differences in the epigenetic marks at the genomic loci of these genes. While a portion of these genes is computationally cognizable as part of a set of genes up-regulated in the brains of patients with AD (3), many other genes in the gene set identified here have not previously been studied in association with AD. Transcriptional repression, both pre- and post-transcription appears to be affected; nearly 40% of these genes are transcriptional targets of MicroRNA-19A/B (miR-19A/B), the zinc finger protein 10 (ZNF10), or of the AP-1 repressor jun dimerization protein 2 (JDP2).


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