Literature DB >> 12668351

Microarray technology: a review of new strategies to discover candidate vulnerability genes in psychiatric disorders.

William E Bunney1, Blynn G Bunney, Marquis P Vawter, Hiroaki Tomita, Jun Li, Simon J Evans, Prabhakara V Choudary, Richard M Myers, Edward G Jones, Stanley J Watson, Huda Akil.   

Abstract

OBJECTIVE: An international effort is in progress to discover candidate genes and pathways associated with psychiatric disorders, including two of the most serious diseases, schizophrenia and mood disorders, through the use of new technology-microarrays. Instead of studying one gene at a time, microarrays provide the opportunity to analyze thousands of genes at once.
METHOD: This article reviews the steps in this discovery process, including the acquisition and characterization of high-quality postmortem brain tissue, RNA extraction, and preparation and use of microarray technology. Two alternative microarray methods and factors affecting the quality of array data are reviewed.
RESULTS: New analytical strategies are being developed to process the massive data sets generated by microarray studies and to define the significance of implicated genes. Array results must be validated by other methods, including in situ hybridization and real-time polymerase chain reaction. Identified genes can also be evaluated in terms of their chromosomal locations and possible overlap with regions of suggestive linkage or association identified with genome-wide linkage analysis in psychiatry and in terms of overlap with genes identified by microarray studies in animals administered psychoactive drugs. Microarray studies are only the first major step in the process. Further efforts in the investigation involve multiple strategies for studying function and gene structure, including transgenic and knockout animal studies.
CONCLUSIONS: Microarrays present a methodology that can identify genes or pathways for new and unique potential drug targets, determine premorbid diagnosis, predict drug responsiveness for individual patients, and, eventually, initiate gene therapy and prevention strategies.

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Year:  2003        PMID: 12668351     DOI: 10.1176/appi.ajp.160.4.657

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  33 in total

1.  Mining microarrays for metabolic meaning: nutritional regulation of hypothalamic gene expression.

Authors:  Charles V Mobbs; Kelvin Yen; Jason Mastaitis; Ha Nguyen; Elizabeth Watson; Elisa Wurmbach; Stuart C Sealfon; Andrew Brooks; Stephen R J Salton
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

Review 2.  Functional genomics and proteomics: application in neurosciences.

Authors:  K E Wilson; M M Ryan; J E Prime; D P Pashby; P R Orange; G O'Beirne; J G Whateley; S Bahn; C M Morris
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-04       Impact factor: 10.154

Review 3.  Microarrays and the microscope: balancing throughput with resolution.

Authors:  Giovanni Coppola; Daniel H Geschwind
Journal:  J Physiol       Date:  2006-06-29       Impact factor: 5.182

4.  Nucleus- and cell-specific gene expression in monkey thalamus.

Authors:  Karl D Murray; Prabhakara V Choudary; Edward G Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-29       Impact factor: 11.205

5.  A pilot genome wide association and gene expression array study of suicide with and without major depression.

Authors:  Hanga Galfalvy; Gil Zalsman; Yung-Yu Huang; Lauren Murphy; Gorazd Rosoklija; Andrew J Dwork; Fatima Haghighi; Victoria Arango; J John Mann
Journal:  World J Biol Psychiatry       Date:  2011-11-07       Impact factor: 4.132

Review 6.  Gene expression studies in major depression.

Authors:  Divya Mehta; Andreas Menke; Elisabeth B Binder
Journal:  Curr Psychiatry Rep       Date:  2010-04       Impact factor: 5.285

7.  Global brain gene expression analysis links glutamatergic and GABAergic alterations to suicide and major depression.

Authors:  Adolfo Sequeira; Firoza Mamdani; Carl Ernst; Marquis P Vawter; William E Bunney; Veronique Lebel; Sonia Rehal; Tim Klempan; Alain Gratton; Chawki Benkelfat; Guy A Rouleau; Naguib Mechawar; Gustavo Turecki
Journal:  PLoS One       Date:  2009-08-11       Impact factor: 3.240

Review 8.  Target identification for CNS diseases by transcriptional profiling.

Authors:  C Anthony Altar; Marquis P Vawter; Stephen D Ginsberg
Journal:  Neuropsychopharmacology       Date:  2008-10-15       Impact factor: 7.853

9.  Planning genomic study in an animal model of depression: a preliminary report.

Authors:  Alireza Farnam; Ali Fakhari; Leila Roshangar; Sajjad Kahni; Sara Farhang
Journal:  Bioimpacts       Date:  2011-09-30

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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