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Original article | published - EPub | peer reviewed

Deciphering the molecular signature of plaques, memory decline and neuron-loss using two mouse models for Alzheimer’s disease by deep sequencing


Frontiers in Aging Neuroscience 2014 ;






Bibliometric indicators


Impact Factor = 4


Authors

Bouter Y*, Kacprowski T*, Weißmann R1, Dietrich K, Borgers H, Brauß A, Sperling C1, Wirths O, Albrecht M, Jensen L1, Kuß A1, Bayer T


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 A? aggregation, neuron loss and behavioral deficits. (2) The Tg4-42 model expresses N-truncated A?4-42 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 (DEG) were identified and subsequently verified by qRT-PCR. 19 DEGs were identified in presymptomatic 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. Interestingly, 36 DEGs were identified in both mouse models indicating common disease pathways associated with behavioral deficits and neuron loss. Many of the DEGs specific to the 5XFAD model belong to neuroinflammatory processes typically associated with plaques. As Tg4-42 mice do not develop any plaques, but still show massive neuron loss, we conclude that only the DEGs common to both models together with those specific to Tg4-42 are defining the molecular signature underlying memory decline in AD.

Published in

Frontiers in Aging Neuroscience


Year 2014
Impact Factor (2014) 4
Volume
Issue
Pages -
Open Access nein
Peer reviewed ja
Article type Original article
Article state published - EPub

Common journal data

Short name: FRONT AGING NEUROSCI
ISSN: 1663-4365
eISSN: 1663-4365
Country: SWITZERLAND
Language: English
Categories:
  • GERIATRICS & GERONTOLOGY
  • NEUROSCIENCES


Impact factor trend

Year Impact Factor
2012 5.224
2013 2.843
2014 4
2015 4.348
2016 4.504
2017 3.582
2018 3.633
2019 4.362
2020 5.75
2021 5.702
2022 4.8
2023 4.1
2024 4.5

Projects

GANI_MED Teilprojekt SB2: Bioinformatik
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

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