scholarly journals Integrated copy number and gene expression analysis detects a CREB1 association with Alzheimer’s disease

2012 ◽  
Vol 2 (11) ◽  
pp. e192-e192 ◽  
Author(s):  
Y Li ◽  
C A Shaw ◽  
I Sheffer ◽  
N Sule ◽  
S Z Powell ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Analysis ◽  
Copy Number ◽  
Gene Expression Analysis

P4-114: Integrated copy number and gene expression analysis detects a CREB1 association with Alzheimer's disease

2012 ◽  
Vol 8 (4S_Part_18) ◽  
pp. P672-P672
Author(s):  
Kinga Szigeti ◽  
Yanchun Li ◽  
Chad Shaw ◽  
Irene Sheffer ◽  
Norbert Sule ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Analysis ◽  
Copy Number ◽  
Gene Expression Analysis

scholarly journals IC-P-057: DYSREGULATED FC GAMMA R-MEDIATED PHAGOCYTOSIS PATHWAY IN ALZHEIMER'S DISEASE: NETWORK-BASED GENE EXPRESSION ANALYSIS

2019 ◽  
Vol 15 ◽  
pp. P57-P58
Author(s):  
Young Ho Park ◽  
Angela Hodges ◽  
Shannon L. Risacher ◽  
Kuang Lin ◽  
Simon Lovestone ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Disease Network

scholarly journals Gene expression analysis reveals the dysregulation of immune and metabolic pathways in Alzheimer's disease

Oncotarget ◽  
2016 ◽  
Vol 7 (45) ◽  
pp. 72469-72474 ◽  
Author(s):  
Juan Chen ◽  
Chuncheng Xie ◽  
Yanhong Zhao ◽  
Zhiyan Li ◽  
Panpan Xu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Analysis ◽  
Metabolic Pathways ◽  
Gene Expression Analysis

scholarly journals Comparative Gene-Expression Analysis of Alzheimer’s Disease Progression with Aging in Transgenic Mouse Model

2019 ◽  
Vol 20 (5) ◽  
pp. 1219 ◽  
Author(s):  
Noman Abid ◽  
Muhammad Naseer ◽  
Myeong Kim
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Transgenic Mice ◽  
Disease Progression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Neurodegenerative Disorder ◽  
Age Groups ◽  
Analysis Tool

Alzheimer’s disease (AD) is a multifactorial neurodegenerative disorder characterized by progressive memory dysfunction and a decline in cognition. One of the biggest challenges to study the pathological process at a molecular level is that there is no simple, cost-effective, and comprehensive gene-expression analysis tool. The present study provides the most detailed (Reverse transcription polymerase chain reaction) RT-PCR-based gene-expression assay, encompassing important genes, based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) disease pathway. This study analyzed age-dependent disease progression by focusing on pathological events such as the processing of the amyloid precursor protein, tau pathology, mitochondrial dysfunction, endoplasmic reticulum stress, disrupted calcium signaling, inflammation, and apoptosis. Messenger RNA was extracted from the cortex and hippocampal region of APP/PS1 transgenic mice. Samples were divided into three age groups, six-, nine-, and 12-month-old transgenic mice, and they were compared with normal C57BL/6J mice of respective age groups. Findings of this study provide the opportunity to design a simple, effective, and accurate clinical analysis tool that can not only provide deeper insight into the disease, but also act as a clinical diagnostic tool for its better diagnosis.

scholarly journals O4-10-02: DYSREGULATED FC GAMMA R-MEDIATED PHAGOCYTOSIS PATHWAY IN ALZHEIMER'S DISEASE: NETWORK-BASED GENE EXPRESSION ANALYSIS

2019 ◽  
Vol 15 ◽  
pp. P1258-P1259
Author(s):  
Young Ho Park ◽  
Angela Hodges ◽  
Shannon L. Risacher ◽  
Kuang Lin ◽  
Simon Lovestone ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Disease Network
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