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Deciphering the Molecular Profile of Plaques, Memory Decline and Neuron Loss in Two Mouse Models for Alzheimer’s Disease by Deep Sequencing

Overview of attention for article published in Frontiers in Aging Neuroscience, April 2014
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Title
Deciphering the Molecular Profile of Plaques, Memory Decline and Neuron Loss in Two Mouse Models for Alzheimer’s Disease by Deep Sequencing
Published in
Frontiers in Aging Neuroscience, April 2014
DOI 10.3389/fnagi.2014.00075
Pubmed ID
Authors

Yvonne Bouter, Tim Kacprowski, Robert Weissmann, Katharina Dietrich, Henning Borgers, Andreas Brauß, Christian Sperling, Oliver Wirths, Mario Albrecht, Lars R. Jensen, Andreas W. Kuss, Thomas A. Bayer

Abstract

One of the central research questions on the etiology of Alzheimer's disease (AD) is the elucidation of the molecular signatures triggered by the amyloid cascade of pathological events. Next-generation sequencing allows the identification of genes involved in disease processes in an unbiased manner. We have combined this technique with the analysis of two AD mouse models: (1) The 5XFAD model develops early plaque formation, intraneuronal Aβ aggregation, neuron loss, and behavioral deficits. (2) The Tg4-42 model expresses N-truncated Aβ4-42 and develops neuron loss and behavioral deficits albeit without plaque formation. Our results show that learning and memory deficits in the Morris water maze and fear conditioning tasks in Tg4-42 mice at 12 months of age are similar to the deficits in 5XFAD animals. This suggested that comparative gene expression analysis between the models would allow the dissection of plaque-related and -unrelated disease relevant factors. Using deep sequencing differentially expressed genes (DEGs) were identified and subsequently verified by quantitative PCR. Nineteen DEGs were identified in pre-symptomatic young 5XFAD mice, and none in young Tg4-42 mice. In the aged cohort, 131 DEGs were found in 5XFAD and 56 DEGs in Tg4-42 mice. Many of the DEGs specific to the 5XFAD model belong to neuroinflammatory processes typically associated with plaques. Interestingly, 36 DEGs were identified in both mouse models indicating common disease pathways associated with behavioral deficits and neuron loss.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Austria 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Researcher 17 17%
Student > Master 15 15%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 14 14%
Unknown 19 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 23%
Neuroscience 21 21%
Biochemistry, Genetics and Molecular Biology 13 13%
Medicine and Dentistry 7 7%
Computer Science 4 4%
Other 9 9%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Frontiers in Aging Neuroscience
#4,266
of 4,747 outputs
Outputs of similar age
#173,172
of 203,748 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#54
of 58 outputs
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.