Literature DB >> 19460360

From microarrays to mechanisms of brain development and function.

Elva Díaz1.   

Abstract

Microarray technology provides a powerful approach to understand complex biological systems. The most common application of microarray technology is to document gene expression profiles of all genes within a genome in response to specific conditions such as disease, drug application, or genotype. One result of this technology is the ability to ascribe activities to genes with unknown functions--such rationale is the basis behind 'functional genomics'. This approach is particularly well-suited to studies of the brain because roughly one third to one half of all genes in vertebrate genomes are expressed in the brain. However, less than half of such genes have any defined function. While a large number of studies have applied microarray technology to the brain, few studies have followed up the expression profiling approach with functional characterization of the genes identified. In this review, I highlight recent research that reflects the initial promise of functional genomics in the brain. I focus on neural differentiation with particular emphasis on synapse development.

Mesh:

Year:  2009        PMID: 19460360     DOI: 10.1016/j.bbrc.2009.05.057

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  6 in total

Review 1.  Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics.

Authors:  Oksana Yu Naumova; Maria Lee; Sergei Yu Rychkov; Natalia V Vlasova; Elena L Grigorenko
Journal:  Child Dev       Date:  2012-11-12

2.  Regulation of C. elegans presynaptic differentiation and neurite branching via a novel signaling pathway initiated by SAM-10.

Authors:  Qun Zheng; Anneliese M Schaefer; Michael L Nonet
Journal:  Development       Date:  2010-11-29       Impact factor: 6.868

Review 3.  Deep sequencing of coding and non-coding RNA in the CNS.

Authors:  Marcel van der Brug; Michael A Nalls; Mark R Cookson
Journal:  Brain Res       Date:  2010-03-20       Impact factor: 3.252

4.  Age-related changes of gene expression in the neocortex: preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas.

Authors:  Oksana Yu Naumova; Dean Palejev; Natalia V Vlasova; Maria Lee; Sergei Yu Rychkov; Olga N Babich; Flora M Vaccarino; Elena L Grigorenko
Journal:  Dev Psychopathol       Date:  2012-11

5.  Latent learning in zebrafish (Danio rerio).

Authors:  Luis M Gómez-Laplaza; Robert Gerlai
Journal:  Behav Brain Res       Date:  2009-12-31       Impact factor: 3.332

Review 6.  Expanding views of presynaptic terminals: new findings from Caenorhabditis elegans.

Authors:  Dong Yan; Kentaro Noma; Yishi Jin
Journal:  Curr Opin Neurobiol       Date:  2011-10-28       Impact factor: 6.627

  6 in total

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