Current and Future Applications of Transcriptomics for Discovery in CNS Disease and Injury

@article{Munro2009CurrentAF,
  title={Current and Future Applications of Transcriptomics for Discovery in CNS Disease and Injury},
  author={Kathryn M Munro and V. Perreau},
  journal={Neurosignals},
  year={2009},
  volume={17},
  pages={311 - 327}
}
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… 

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References

SHOWING 1-10 OF 141 REFERENCES

Methodological Considerations Regarding Single-Cell Gene Expression Profiling for Brain Injury

New methodological, standardization, and statistical techniques are currently being developed to improve the reproducibility of microarrays and facilitate the analysis of large amounts of data that will help to overcome many of the difficulties associated with the cellular heterogeneity of the brain.

Expression Profiling Following Traumatic Brain Injury: A Review

The elucidation of the complex alterations in gene expression underlying the pathological sequelae following TBI is of central importance in the design of future therapeutic agents.

Gene expression profiling reveals that peripheral nerve regeneration is a consequence of both novel injury‐dependent and reactivated developmental processes

Ninety‐one genes were found to be significantly regulated in both paradigms, suggesting that regeneration only partially recapitulates development and that approximately half of the regulated genes are part of a regeneration‐dependent programme.

A Molecular Description of Brain Trauma Pathophysiology Using Microarray Technology: An Overview

The utility of this methodology as a means of cataloging the biochemical sequelae of brain trauma and elucidating novel genes or pathways for further study is discussed and the usefulness of microarray techniques as a testing format for determining the efficacy of mechanism-based therapies is discussed.

Large-scale estimates of cellular origins of mRNAs: Enhancing the yield of transcriptome analyses

Patterns of Gene Expression Reveal a Temporally Orchestrated Wound Healing Response in the Injured Spinal Cord

The molecular and anatomical observations have identified a novel, longitudinal perspective of the post-SCI response, namely, that of a highly orchestrated tissue repair and remodeling repertoire with a prominent cutaneous wound healing signature that is conserved between two widely differing rat strains.

Gene expression profile changes are commonly modulated across models and species after traumatic brain injury.

Gene expression profiling across species and models may help identify candidate molecular pathways induced by brain injury, some of which may provide novel targets for therapeutic intervention.

Identification of candidate transcriptional modulators involved in successful regeneration after nerve injury

Krd1, a gene known to act as a transcriptional modulator, is involved in neurite outgrowth of a DRG neuron‐derived cell line as well as in cultured adult DRG neurons, suggesting this gene may be part of the transcriptional regulatory module that orchestrates the onset of successful regeneration.
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