Literature DB >> 19816067

Current and future applications of transcriptomics for discovery in CNS disease and injury.

Kathryn M Munro1, Victoria M Perreau.   

Abstract

The central nervous system (CNS) displays heterogeneity at regional, cellular and subcellular levels, making analysis of transcriptomic events accompanying neural injury particularly challenging. Microarray technology provides methods for elucidating global changes in neural gene expression and discovery of signalling pathways within this complex biological network. The lack of suitable and sufficient human CNS tissue along with its inherent variability means that diverse animal models of both multiple sclerosis and neurotrauma are vital for examining the pathophysiological changes accompanying neural injury resulting from disease or trauma. Gene expression profiling of these models is providing valuable information about mechanisms of damage, repair and regeneration and candidate treatments. In vitro models of neural injury are also proving useful, and transcriptomics is enhancing our understanding of the properties of neural stem cells with a view to their therapeutic application in neural repair. Thoughtful experimental design and analysis of microarray experiments is crucial for extracting biological meaning from the vast amount of data produced. In this review we discuss the current and emerging application of transcriptomics for the study of neural function in health, disease and injury. Copyright (c) 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19816067     DOI: 10.1159/000231897

Source DB:  PubMed          Journal:  Neurosignals        ISSN: 1424-862X


  3 in total

Review 1.  The emerging roles of microRNAs in CNS injuries.

Authors:  Oneil G Bhalala; Maya Srikanth; John A Kessler
Journal:  Nat Rev Neurol       Date:  2013-04-16       Impact factor: 42.937

2.  Role of HDAC3 on p53 expression and apoptosis in T cells of patients with multiple sclerosis.

Authors:  Fanglin Zhang; Yaping Shi; Lily Wang; Subramaniam Sriram
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

3.  Systems-level analysis of age-related macular degeneration reveals global biomarkers and phenotype-specific functional networks.

Authors:  Aaron M Newman; Natasha B Gallo; Lisa S Hancox; Norma J Miller; Carolyn M Radeke; Michelle A Maloney; James B Cooper; Gregory S Hageman; Don H Anderson; Lincoln V Johnson; Monte J Radeke
Journal:  Genome Med       Date:  2012-02-24       Impact factor: 11.117

  3 in total

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