ReviewNeuroscience letters2017
Selecting optimal combinations of transcription factors to promote axon regeneration: Why mechanisms matter.
Review in Neuroscience letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Single-Nuclei Sequencing Reveals a Robust Corticospinal Response to Nearby Axotomy But Overall Insensitivity to Spinal Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- A miR-383-5p Signaling Hub Coordinates the Axon Regeneration Response to Inflammation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Injury distance limits the transcriptional response to spinal injury.bioRxiv : the preprint server for biology · 2024Article
- The Role of ATF3 in Neuronal Differentiation and Development of Neuronal Networks in Opossum Postnatal Cortical Cultures.International journal of molecular sciences · 2022Article
- Analysis of neuronal injury transcriptional response identifies CTCF and YY1 as co-operating factors regulating axon regeneration.Frontiers in molecular neuroscience · 2022Article
- Molecular Pathways Modulating Sensory Hair Cell Regeneration in Adult Mammalian Cochleae: Progress and Perspectives.International journal of molecular sciences · 2021Review
- Co-occupancy identifies transcription factor co-operation for axon growth.Nature communications · 2021Article
- Promotion of corticospinal tract growth by KLF6 requires an injury stimulus and occurs within four weeks of treatment.Experimental neurology · 2021Article
- Identification and analysis of spinal cord injury subtypes using weighted gene co-expression network analysis.Annals of translational medicine · 2021Article
- Ascending dorsal column sensory neurons respond to spinal cord injury and downregulate genes related to lipid metabolism.Scientific reports · 2021Article
- Genome Wide Analysis Points towards Subtype-Specific Diseases in Different Genetic Forms of Amyotrophic Lateral Sclerosis.International journal of molecular sciences · 2020Article
- The translational landscape in spinal cord injury: focus on neuroplasticity and regeneration.Nature reviews. Neurology · 2019Review
- Epigenetic regulator UHRF1 inactivates REST and growth suppressor gene expression via DNA methylation to promote axon regeneration.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- KLF6 and STAT3 co-occupy regulatory DNA and functionally synergize to promote axon growth in CNS neurons.Scientific reports · 2018Article
- Advances and Limitations of Current Epigenetic Studies Investigating Mammalian Axonal Regeneration.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2018Review
- Intrinsic mechanisms of neuronal axon regeneration.Nature reviews. Neuroscience · 2018Review
- Differential Expression ofFrontiers in molecular neuroscience · 2017Article
- AAV-KLF7 Promotes Descending Propriospinal Neuron Axonal Plasticity after Spinal Cord Injury.Neural plasticity · 2017Article
- Article
- Network analysis of microRNAs, transcription factors, and target genes involved in axon regeneration.Journal of Zhejiang University. Science. BArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Recovery from injuries to the central nervous system, including spinal cord injury, is constrained in part by the intrinsically low ability of many CNS neurons to mount an effective regenerative growth response. To improve outcomes, it is essential to understand and ultimately reverse these neuron-intrinsic constraints. Genetic manipulation of key transcription factors (TFs), which act to orchestrate production of multiple regeneration-associated genes, has emerged as a promising strategy. It is likely that no single TF will be sufficient to fully restore neuron-intrinsic growth potential, and that multiple, functionally interacting factors will be needed. An extensive literature, mostly from non-neural cell types, has identified potential mechanisms by which TFs can functionally synergize. Here we examine four potential mechanisms of TF/TF interaction; physical interaction, transcriptional cross-regulation, signaling-based cross regulation, and co-occupancy of regulatory DNA. For each mechanism, we consider how existing knowledge can be used to guide the discovery and effective use of TF combinations in the context of regenerative neuroscience. This mechanistic insight into TF interactions is needed to accelerate the design of effective TF-based interventions to relieve neuron-intrinsic constraints to regeneration and to foster recovery from CNS injury.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.