2011
DOI: 10.3389/fnmol.2011.00046
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A Gene Network Perspective on Axonal Regeneration

Abstract: The regenerative capacity of injured neurons in the central nervous system is limited due to the absence of a robust neuron-intrinsic injury-induced gene response that supports axon regeneration. In peripheral neurons axotomy induces a large cohort of regeneration-associated genes (RAGs). The forced expression of some of these RAGs in injured neurons has some beneficial effect on axon regeneration, but the reported effects are rather small. Transcription factors (TFs) provide a promising class of RAGs. TFs are… Show more

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Cited by 59 publications
(42 citation statements)
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“…Although we and others have shown that forced expression of single pro-regenerative TFs can act to enhance axon regeneration in injured CNS neurons (6-8), it is increasingly clear that combinatorial TF treatments are more effective than single TF treatments (8, 53, 54). Indeed, in silico analyses of peripheral neurons indicates that multi-nodal transcriptional networks, rather than isolated activities by individual TFs, drives regenerative axon growth (9, 11, 39, 55-57). AP-1 factors JUN and ATF3 are classic regeneration-associated TFs, likely involved in coordinating the peripheral nerve regeneration program based on their expression patterns in transcriptional profiling datasets (58).…”
Section: Discussionmentioning
confidence: 99%
“…Although we and others have shown that forced expression of single pro-regenerative TFs can act to enhance axon regeneration in injured CNS neurons (6-8), it is increasingly clear that combinatorial TF treatments are more effective than single TF treatments (8, 53, 54). Indeed, in silico analyses of peripheral neurons indicates that multi-nodal transcriptional networks, rather than isolated activities by individual TFs, drives regenerative axon growth (9, 11, 39, 55-57). AP-1 factors JUN and ATF3 are classic regeneration-associated TFs, likely involved in coordinating the peripheral nerve regeneration program based on their expression patterns in transcriptional profiling datasets (58).…”
Section: Discussionmentioning
confidence: 99%
“…Datasets and network tools that include physical interactions, although built largely from non-neural cell types [14, 24, 31, 44, 60], are readily available and are already being used to help prioritize TFs of interest in the context of regeneration research [13, 77, 79]. A driving assumption of this approach is that TFs with large numbers of known interactions act as hub proteins and are thus high priority targets for functional intervention.…”
Section: Physical Interactionmentioning
confidence: 99%
“…Table 1, and [41]). These transcriptional relationships are described in searchable databases including IPA and TRRUST [31, 79] and raise the possibility that similar relationships may exist in neurons. In summary, genome-wide discovery efforts focused on neurons and targeted verification of predicted transcriptional relationships offer a rapid way to expand knowledge of TF networks in regenerative neuroscience.…”
Section: Transcriptional Cross-regulationmentioning
confidence: 99%
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“…Likewise, new research approaches are continually being sought to impact the progression of neurodegeneration, and to intervene in brain injury to rescue or regenerate damaged brain neurons. Further research using models such as the facial nerve reinjury model, could identify the molecular signals involved in this powerful and unique form of neuroplasticity, and lead to new ways to induce or augment neuroregeneration in patients with neurotrauma and other forms of CNS insult and disease [65,66]. Neuroimmunological approaches could provide needed new insights into the interactions between complex systems, insights that may be essential to move through barriers to devise more effective treatments for clinical neurological disorders.…”
Section: Discussionmentioning
confidence: 99%