Literature DB >> 16469505

Application of microarray technology in primate behavioral neuroscience research.

Adriaan M Karssen1, Jun Z Li, Song Her, Paresh D Patel, Fan Meng, Simon J Evans, Marquis P Vawter, Hiroaki Tomita, Prabhakara V Choudary, William E Bunney, Edward G Jones, Stanley J Watson, Huda Akil, Richard M Myers, Alan F Schatzberg, David M Lyons.   

Abstract

Gene expression profiling of brain tissue samples applied to DNA microarrays promises to provide novel insights into the neurobiological bases of primate behavior. The strength of the microarray technology lies in the ability to simultaneously measure the expression levels of all genes in defined brain regions that are known to mediate behavior. The application of microarrays presents, however, various limitations and challenges for primate neuroscience research. Low RNA abundance, modest changes in gene expression, heterogeneous distribution of mRNA among cell subpopulations, and individual differences in behavior all mandate great care in the collection, processing, and analysis of brain tissue. A unique problem for nonhuman primate research is the limited availability of species-specific arrays. Arrays designed for humans are often used, but expression level differences are inevitably confounded by gene sequence differences in all cross-species array applications. Tools to deal with this problem are currently being developed. Here we review these methodological issues, and provide examples from our experiences using human arrays to examine brain tissue samples from squirrel monkeys. Until species-specific microarrays become more widely available, great caution must be taken in the assessment and interpretation of microarray data from nonhuman primates. Nevertheless, the application of human microarrays in nonhuman primate neuroscience research recovers useful information from thousands of genes, and represents an important new strategy for understanding the molecular complexity of behavior and mental health.

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Year:  2006        PMID: 16469505     DOI: 10.1016/j.ymeth.2005.09.017

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  7 in total

1.  Stress coping stimulates hippocampal neurogenesis in adult monkeys.

Authors:  David M Lyons; Paul S Buckmaster; Alex G Lee; Christine Wu; Rupshi Mitra; Lauren M Duffey; Christine L Buckmaster; Song Her; Paresh D Patel; Alan F Schatzberg
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-30       Impact factor: 11.205

2.  Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data.

Authors:  Jiayi Hou; Kellie J Archer
Journal:  Stat Appl Genet Mol Biol       Date:  2015-02

Review 3.  New frontiers in animal research of psychiatric illness.

Authors:  Arie Kaffman; John H Krystal; John J Krystal
Journal:  Methods Mol Biol       Date:  2012

4.  An investigation of how normalisation and local modelling techniques confound machine learning performance in a mental health study.

Authors:  Xinxin Zhang; Jimmy Lee; Wilson Wen Bin Goh
Journal:  Heliyon       Date:  2022-05-21

5.  Gene expression profiling in the rhesus macaque: experimental design considerations.

Authors:  Henryk F Urbanski; Nigel C Noriega; Dario R Lemos; Steven G Kohama
Journal:  Methods       Date:  2009-05-23       Impact factor: 3.608

6.  Trichostatin A stimulates steroid 5alpha-reductase gene expression in rat C6 glioma cells via a mechanism involving Sp1 and Sp3 transcription factors.

Authors:  Song Her; Mi-Sook Lee; Kyoji Morita
Journal:  J Mol Neurosci       Date:  2009-09-02       Impact factor: 3.444

7.  Development of the first marmoset-specific DNA microarray (EUMAMA): a new genetic tool for large-scale expression profiling in a non-human primate.

Authors:  Nicole A Datson; Maarten C Morsink; Srebrena Atanasova; Victor W Armstrong; Hans Zischler; Christina Schlumbohm; Bas E Dutilh; Martijn A Huynen; Brigitte Waegele; Andreas Ruepp; E Ronald de Kloet; Eberhard Fuchs
Journal:  BMC Genomics       Date:  2007-06-25       Impact factor: 3.969

  7 in total

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