ArticleScientific reports2013
Identification of novel modifiers of Aβ toxicity by transcriptomic analysis in the fruitfly.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing.Medicinal research reviews · 2020Review
- Genetic Dissection of Alzheimer's Disease UsingInternational journal of molecular sciences · 2020Review
- Dysregulation of antimicrobial peptide expression distinguishes Alzheimer's disease from normal aging.Aging · 2020Article
- Inhibition of NF-κB in astrocytes is sufficient to delay neurodegeneration induced by proteotoxicity in neurons.Journal of neuroinflammation · 2018Article
- Superoxide dismutases: Dual roles in controlling ROS damage and regulating ROS signaling.The Journal of cell biology · 2018Review
- Comparative analysis of FKBP family protein: evaluation, structure, and function in mammals and Drosophila melanogaster.BMC developmental biology · 2018Review
- Altered expression of the Cdk5 activator-like protein, Cdk5α, causes neurodegeneration, in part by accelerating the rate of aging.Disease models & mechanisms · 2018Article
- AβPP processing results in greater toxicity per amount of Aβ1-42 than individually expressed and secreted Aβ1-42 in Drosophila melanogaster.Biology open · 2016Article
- A Bacterial Component to Alzheimer's-Type Dementia Seen via a Systems Biology Approach that Links Iron Dysregulation and Inflammagen Shedding to Disease.Journal of Alzheimer's disease : JAD · 2016Review
- Modeling the complex pathology of Alzheimer's disease in Drosophila.Experimental neurology · 2015Review
- Cross-organism analysis using InterMine.Genesis (New York, N.Y. : 2000) · 2015Review
- Cloning and expression analysis of Drosophila extracellular Cu Zn superoxide dismutase.Bioscience reports · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The strongest risk factor for developing Alzheimer's Disease (AD) is age. Here, we study the relationship between ageing and AD using a systems biology approach that employs a Drosophila (fruitfly) model of AD in which the flies overexpress the human Aβ42 peptide. We identified 712 genes that are differentially expressed between control and Aβ-expressing flies. We further divided these genes according to how they change over the animal's lifetime and discovered that the AD-related gene expression signature is age-independent. We have identified a number of differentially expressed pathways that are likely to play an important role in the disease, including oxidative stress and innate immunity. In particular, we uncovered two new modifiers of the Aβ phenotype, namely Sod3 and PGRP-SC1b.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.