Journal of NeuroscienceNeurosciencePeer-reviewed journal article
Integrin-driven Axon Regeneration in the Spinal Cord Activates a Distinctive CNS Regeneration Program
Menghon CheahiD, Yuyan ChengiD, Veselina PetrovaiD, Anda CimpeaniD, Pavla JendelováiD, Vivek SwarupiD, Clifford J. WoolfiD, Daniel H. GeschwindiD, James W. FawcettiD
Abstract
The peripheral branch of sensory dorsal root ganglion (DRG) neurons regenerates readily after injury unlike their central branch in the spinal cord. However extensive regeneration and reconnection of sensory axons in the spinal cord can be driven by the expression of 9 integrin and its activator kindlin- 1(9k1), which enable axons to interact with tenascin-C. To elucidate the mechanisms and downstream pathways affected by activated integrin expression and central regeneration, we conducted transcriptomic analyses of DRG sensory neurons transduced with 9k1, and controls, with and without axotomy of the central branch. Expression of 9k1 without the central axotomy led to upregulation of a known PNS regeneration program, including many genes associated with peripheral nerve regeneration. Coupling 9k1 treatment with dorsal root axotomy led to extensive central axonal regeneration and caused expression of a distinctive CNS regeneration program, including genes associated with ubiquitination, autophagy, endoplasmic reticulum, trafficking, and signalling. Pharmacological inhibition of these processes blocked the regeneration of axons from DRGs and human iPS-derived sensory neurons, validating their causal contributions. This CNS regeneration- associated program showed little correlation with either embryonic development or PNS regeneration programs. Potential transcriptional drivers of this CNS program coupled to regeneration include Mef2a, Runx3, E2f4, Tfeb, Yy1. Signalling from integrins primes sensory neurons for regeneration, but their axon growth in the CNS is associated with a distinctive program that differs from that involved in PNS regeneration.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 12
- FWCI
- 1.45
- Field percentile
- top 20%
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