Expression patterns of Slit and Robo family members in adult mouse spinal cord and peripheral nervous system
Authors: David B Parkinson
Xin-Peng Dun
Lauren Carr
Journal: PLoS ONE (2017)
Discipline: Multidisciplinary
Keywords: Slit1-3; Robo1-2; axon guidance; nervous system; peripheral nervous system
Affiliations: Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, Devon, United Kingdom., Hubei University of Science and Technology, Xian-Ning City, Hubei, China.

Abstract:  The secreted glycoproteins, Slit1-3, are classic axon guidance molecules that act as repulsive cues through their well characterised receptors Robo1-2 to allow precise axon pathfinding and neuronal migration. The expression patterns of Slit1-3 and Robo1-2 have been most characterized in the rodent developing nervous system and the adult brain, but little is known about their expression patterns in the adult rodent peripheral nervous system. Here, we report a detailed expression analysis of Slit1-3 and Robo1-2 in the adult mouse sciatic nerve as well as their expression in the nerve cell bodies within the ventral spinal cord (motor neurons) and dorsal root ganglion (sensory neurons). Our results show that, in the adult mouse peripheral nervous system, Slit1-3 and Robo1-2 are expressed in the cell bodies and axons of both motor and sensory neurons. While Slit1 and Robo2 are only expressed in peripheral axons and their cell bodies, Slit2, Slit3 and Robo1 are also expressed in satellite cells of the dorsal root ganglion, Schwann cells and fibroblasts of peripheral nerves. In addition to these expression patterns, we also demonstrate the expression of Robo1 in blood vessels of the peripheral nerves. Our work gives important new data on the expression patterns of Slit and Robo family members within the peripheral nervous system that may relate both to nerve homeostasis and the reaction of the peripheral nerves to injury. 

Retracted: No

PubPeer comments:
 (a) The authors introduced in Definition 2 the characterization of additive consistency for fuzzy preference relations. Then, the authors in Theorem 1 associated an additive consistent fuzzy preference relation $A = (a {ij})_{ntimes n}$ with a group of weights such that $$a _{ij} = frac{1}{2}(w _i - w _j +1),quad forall i,j$$ and $$w _1 + w _2 + cdots, w _n =1, quad 0le w _i le 1 quad text{normalization conditions}$$ It is obvious that these normalization conditions are not compatible with the characterization of additive consistency defined by Definition 2. An additive consistent fuzzy preference relation in the sense of Definition 2 may have such weights in the sense of Theorem 1. **The authors claimed in Remark that Theorem 1 was proposed by Tanino in 1984. Obviously, such a result did not appear in the 1984 paper authored by Tanino.** (b) In Definition 6, the authors considered the intuitionistic fuzzy preference relations and defined two matrices $A$ and $B$ for a given intuitionistic fuzzy preference relation. It is obvious that $$A=B^T$$ and hence **the two matrices $A$ and $B$ contain essentially same preference information**. The authors treated them differently in this paper as they contain different preference information (see, e.g., Theorem 3). However, such methods are redundant since $A=B^T$. ![file] ![file] ![file] ![file] ![file] ,