Originalartikel | erschienen - 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 ;
Autoren
Bouter Y*, Kacprowski T*, Weißmann R1, Dietrich K, Borgers H, Brauß A, Sperling C1, Wirths O, Albrecht M, Jensen L1, Kuß A1, Bayer T
Beteiligte Einrichtungen
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.
Veröffentlicht in
Frontiers in Aging Neuroscience
| Jahr | 2014 |
| Impact Factor (2014) | 4 |
| Volume | |
| Issue | |
| Seiten | - |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Originalartikel |
| Artikelstatus | erschienen - EPub |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: FRONT AGING NEUROSCI
ISSN: 1663-4365
eISSN: 1663-4365
Land: SWITZERLAND
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 1663-4365
eISSN: 1663-4365
Land: SWITZERLAND
Sprache: English
Kategorie(n):
- GERIATRICS & GERONTOLOGY
- NEUROSCIENCES
Impact Factor Entwicklung
| Jahr | 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 |
Projekte
GANI_MED Teilprojekt SB2: Bioinformatik
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
FAQs | Impressum | Datenschutz

