Literature DB >> 15370883

Microarray analysis in Alzheimer's disease and normal aging.

Roberta Ricciarelli1, Cristina d'Abramo, Sara Massone, Umberto Marinari, Maria Pronzato, Massimo Tabaton.   

Abstract

The purpose of this study was to investigate gene expression in Alzheimer's disease (AD), the most common form of senile dementia. We utilized the microarray technology to simultaneously compare the expression profile of 12,000 human genes in cerebral cortex of AD and normal aging. To identify gene expression related to neurodegeneration, beside the presence of amyloid deposition, we used control brains with abundant amyloid plaques, derived from cognitively normal elderly subjects. The microarray analysis indicated that 314 genes were differentially expressed in AD cerebral cortex, with differences greater than 5 folds in 25 genes. RT-PCR performed on a selected group of genes confirmed the increased expression of the interferon-induced protein 3 in AD brain. This protein, which is highly inducible by both type I and type II interferons, was not previously associated with the neurodegenerative disease.

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Year:  2004        PMID: 15370883     DOI: 10.1080/15216540412331286002

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  38 in total

1.  Profiling of hypothalamic and hippocampal gene expression in chronically stressed rats treated with St. John's wort extract (STW 3-VI) and fluoxetine.

Authors:  Peggy Jungke; Gigi Ostrow; Jian-Liang Li; Sharon Norton; Karen Nieber; Olaf Kelber; Veronika Butterweck
Journal:  Psychopharmacology (Berl)       Date:  2010-10-06       Impact factor: 4.530

2.  An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis.

Authors:  Yue Huang; Xiaobo Zhou; Benchun Miao; Marta Lipinski; Zheng Xia; Guangshu Hu; Alexei Degterev; Junying Yuan; Stephen T C Wong
Journal:  IEEE NIH Life Sci Syst Appl Workshop       Date:  2009-04-01

Review 3.  Dissecting Complex and Multifactorial Nature of Alzheimer's Disease Pathogenesis: a Clinical, Genomic, and Systems Biology Perspective.

Authors:  Puneet Talwar; Juhi Sinha; Sandeep Grover; Chitra Rawat; Suman Kushwaha; Rachna Agarwal; Vibha Taneja; Ritushree Kukreti
Journal:  Mol Neurobiol       Date:  2015-09-09       Impact factor: 5.590

Review 4.  Single cell gene expression profiling in Alzheimer's disease.

Authors:  Stephen D Ginsberg; Shaoli Che; Scott E Counts; Elliott J Mufson
Journal:  NeuroRx       Date:  2006-07

5.  Chemocentric informatics approach to drug discovery: identification and experimental validation of selective estrogen receptor modulators as ligands of 5-hydroxytryptamine-6 receptors and as potential cognition enhancers.

Authors:  Rima Hajjo; Vincent Setola; Bryan L Roth; Alexander Tropsha
Journal:  J Med Chem       Date:  2012-06-11       Impact factor: 7.446

6.  Gene expression levels assessed by CA1 pyramidal neuron and regional hippocampal dissections in Alzheimer's disease.

Authors:  Stephen D Ginsberg; Melissa J Alldred; Shaoli Che
Journal:  Neurobiol Dis       Date:  2011-07-28       Impact factor: 5.996

7.  Identifying Aβ-specific pathogenic mechanisms using a nematode model of Alzheimer's disease.

Authors:  Wail M Hassan; Vishantie Dostal; Brady N Huemann; John E Yerg; Christopher D Link
Journal:  Neurobiol Aging       Date:  2014-10-16       Impact factor: 4.673

8.  Gene expression profiles in anatomically and functionally distinct regions of the normal aged human brain.

Authors:  Winnie S Liang; Travis Dunckley; Thomas G Beach; Andrew Grover; Diego Mastroeni; Douglas G Walker; Richard J Caselli; Walter A Kukull; Daniel McKeel; John C Morris; Christine Hulette; Donald Schmechel; Gene E Alexander; Eric M Reiman; Joseph Rogers; Dietrich A Stephan
Journal:  Physiol Genomics       Date:  2006-10-31       Impact factor: 3.107

9.  IFN-γ promotes τ phosphorylation without affecting mature tangles.

Authors:  Andrew Li; Carolina Ceballos-Diaz; Nadia DiNunno; Yona Levites; Pedro E Cruz; Jada Lewis; Todd E Golde; Paramita Chakrabarty
Journal:  FASEB J       Date:  2015-07-08       Impact factor: 5.191

10.  Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases.

Authors:  Monika Ray; Jianhua Ruan; Weixiong Zhang
Journal:  Genome Biol       Date:  2008-10-08       Impact factor: 13.583

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