Literature DB >> 26807112

Factors influencing the spinal motoneurons in development.

Stefan Wiese1.   

Abstract

The development of the spinal cord needs a concerted interaction of transcription factors activating diverse genes and signals from outside acting on the specification of the different cells. Signals have to act on the segments of the embryo as well as on the cranial-caudal axis and the dorso-ventral axis. Additionally the axons of the motoneurons have to cross the central nervous system barrier to connect to the periphery. Intensive anatomical studies have been followed by molecular characterization of the different subsets of transcription factors that are expressed by cells of the developing spinal cord. Here, intensive studies for the most important appearing cells, the motoneurons, have resulted in a good knowledge on the expression patterns of these proteins. Nonetheless motoneurons are by far not the only important cells and the concert activity of all cells besides them is necessary for the correct function and integrity of motoneurons within the spinal cord. This article will briefly summarize the different aspects on spinal cord development and focuses on the differentiation as well as the functionalization of motoneurons.

Entities:  

Keywords:  axon; extracellular matrix; neurite; synapse muscle; transcription factors

Year:  2015        PMID: 26807112      PMCID: PMC4705789          DOI: 10.4103/1673-5374.169639

Source DB:  PubMed          Journal:  Neural Regen Res        ISSN: 1673-5374            Impact factor:   5.135


Introduction

The development of the spinal cord plays a central role towards execution coordinated movements and of sensory inputs as well. Together with sensory inputs from the eye and ear in human they produce a movement output as a consequence of reflexes or higher brain cognitive functions. These circuits are mainly disturbed in motoneuron diseases like amyotrophic lateral sclerosis (ALS), spinal muscular atrophy (SMA) or in cases of lesions caused by accidents. The restauration of such disturbed motor output functions is the main goal for physicians and scientists all over the world. If we therefore take a closer look at the time cell differentiation and establishment of those motor circuits, this may help to restore the original function in disease.

Development of the Spinal Cord

The spinal cord as a central nervous system (CNS) structure builds up connections to the periphery of the body. Signals from different brain regions are integrated to generate a movement. This includes muscle movement, breathing and rhythmic activities of muscle cells with a constant feed back to the higher brain regions. Disorders affecting the function of the motor system including ALS or SMA are characterized by the progressive inability not only to walk and move but also suffer from the increasing inability to breathe or speak. The complexity of dysfunctions affecting the motor system makes it unable to apply cures on single cell type level but rather needs a more systemic approach. The fact that the motor system has great abilities to compensate dysfunctions for a longer time even makes it harder to start curing a disease as the loss of functional cells has started sometimes even years before. For example usually more than 50% of all motoneurons are already dysfunctional for a longer period before a patient comes to the clinic due to compensatory effects of the remaining functional cells in the spinal cord. Orphaned muscle cells are taken over by neighboring motoneurons as they send out new axonal side tribes to innervate these muscle fibers. Knowledge on the development of the spinal motor circuits might help to understand and might even help finding cures against such degenerative diseases.

Early Steps in Spinal Cord in Development

The CNS epithelial cells of the neural tube are pseudo stratified cells and perform symmetric cell divisions to increase the number of neural precursor cells (NPCs). These NPCs are generated at the anterior-posterior axis. Different regional signals along the rostro-caudal axis start to instruct the positional identity of the cells defining forebrain, midbrain, hindbrain, and spinal cord. Caudalization is induced by the vitamin A derivative retinoic acid (RA) followed by expression of Pax3 by neuroepithelial cells. Subsequently, mutant mice deficient for retinaldehyde dehydrogenase 2 (Raldh2) show severe alterations in hindbrain and spinal cord patterning. The second early molecule necessary for the specification of the spinal cord is the fibroblast growth factor (FGF). Both FGF and RA form antagonizing gradients to determine the anterior hindbrain and the posterior spinal cord along the rostro-caudal axis. Regionalization within the caudal part is performed by expression of the homeobox domain transcription factors (Hoxgenes) (Diez del Corral et al., 2003). These Hox transcription factors represent the concept for a neuronal subtype identity of the embryonic hindbrain and spinal cord (Wu et al., 2008).

Generation of the Dorso-ventral Patterning in the Spinal Cord

While FGFs and RA define the cellular identity for the rostro-caudal axis, cellular identities along the dorso-ventral axis of the developing hindbrain and spinal cord are defined by members of the bone morphogenetic protein (BMP) and of the wingless/Int-1 (Wnt) family, secreted from the roof plate cells. The respective antagonizing signal comes from the notochord and later on from the floor plate cells which secrete Sonic hedgehog (Shh) as a ventralization signal for the spinal cord cells (Dessaud et al., 2008). Different concentrations of Shh form different neural progenitor regions in the ventral part. The resulting progenitor cells, as well as the resulting cells from these progenitor pools are characterized by a specific expression patterning of homeodomain transcription factors. Consequently, mutations in Patched 1 or Smoothened, both being receptor parts of the Shh pathway, induce severe patterning defects during embryogenesis. This homeodomain transcription factor concept has been considered as the essential mechanism for specification of neuronal and the latter glial subtype identities. Definition of cells might be in general performed by the transcription factor code but it does not clarify the way towards a specialized cell type. Such signals have to be positioned outside the cells and therefore the extracellular matrix most probably plays a pivotal role in this process. For example, heparan sulfate proteoglycans (HSPGs) are found in almost all mammalian cells. They are on cell surfaces (glypicans, syndecans) and in the extracellular space (perlecan, collagen type XVIII or agrin). They are composed of a core protein with covalent O-linked heparan sulfate glycosaminoglycan side chains. HSPGs can interact with cytokines, growth factors and other extracellular matrix molecules. The FGF2 and FGF4, the Wnt and the Notch signaling pathways have been reported to be affinity- and position-dependent on the presence of HSPGs. The matrix binds and places these factors to the optimal positions and thereby enhances specificity and availability of these factors (Androutsellis-Theotokis et al., 2006). Additionally, neuroepithelial cells start their differentiation into neurons, by changing their 6-O-sulfation profile and their HS chain length. These modifications coincide with a switch from FGF2 to FGF1 signaling. Alterations in N-sulfation, 3-O-sulfation and 6-Osulfation have been detected during stem cell differentiation. The elimination of sulfation during in vitro neural stem cell differentiation changes the relative proportion of early neurons generated from the stem cell pool and appears to block the further differentiation of these post-mitotic cells. HSPGs have to pass the Golgi apparatus as their side chains are sulfated by a subset of (sulfotransferase) enzymes (Karus et al., 2012; Karus et al., 2013). Future research will have to focus not only on the transcription factor code but rather on the matrix and their specific discrete changes influencing position, differentiation and the total number of cells.

Organization of Motoneuron Subtypes and Motor Columns

More motoneurons than necessary are generated during embryonic development to serve the needs for adulthood. The excess in cells is reduced first due to the limited amount of trophic support and second by electric activity and connectivity to the target cells, the skeletal muscle. The motoneuron subtypes are well organized along the rostro-caudal and dorso-ventral axis in the spinal cord sorted by function and innervation targets. Neurons innervating the same target are together in a column (Jessell, 2000) (see also ). For example the motoneurons of mediomedial column present throughout the spinal cord innervate the axial trunk muscles while the lateral motor column (LMC), which is positioned in the brachial and lumbal part of the spinal cord innervates the skeletal muscles of the limbs and thereby regulates fine motor skills (Bonanomi and Pfaff, 2010).
Figure 1

Segmentation and motoneuron connection during spinal cord development in mice.

Motoneurons are positioned in motoneuron pools within the segments of the spinal cord from rostral to caudal. Eight cervical segments (C1 to C8) followed by 12 thoracic (T1 to T12 segments and 7 lumbal segments (L1 to L7). The expression of the homeobox protein Hoxc8 marks the area of motoneurons necessary for forelimb prehension efficiency (Tiret et al., 1998). The more rostrally positioned motor columns innervate the forelimbs while the motoneurons of the thoracic segments innervate the sympathetic ganglia, the dermomyotome and the peripheral trunk muscles. The different motor columns along the rostro-caudal axis are characterized by expression of different homeobox transcription factors: Isl-1 and Isl- 2, (Islet-1 and -2), Lim-1, Lim-3 (Lim Homeobox transcription factor-1 and -3), Lhx4 (Lim homeobox transcription factor 4).

Segmentation and motoneuron connection during spinal cord development in mice. Motoneurons are positioned in motoneuron pools within the segments of the spinal cord from rostral to caudal. Eight cervical segments (C1 to C8) followed by 12 thoracic (T1 to T12 segments and 7 lumbal segments (L1 to L7). The expression of the homeobox protein Hoxc8 marks the area of motoneurons necessary for forelimb prehension efficiency (Tiret et al., 1998). The more rostrally positioned motor columns innervate the forelimbs while the motoneurons of the thoracic segments innervate the sympathetic ganglia, the dermomyotome and the peripheral trunk muscles. The different motor columns along the rostro-caudal axis are characterized by expression of different homeobox transcription factors: Isl-1 and Isl- 2, (Islet-1 and -2), Lim-1, Lim-3 (Lim Homeobox transcription factor-1 and -3), Lhx4 (Lim homeobox transcription factor 4). Three motoneuron subtypes exist in the motor columns, the α-, β-, and γ-motoneurons. The α-and γ-motoneurons can be distinguished by morphology and projection patterning. The large multipolar α-motoneurons innervate the extrafusal skeletal musculature receiving input from the proprioceptive sensory afferent neurons. Up to 30% of all motoneurons are smaller γ-motoneurons controlling the intrafusal muscle fibers in the muscle spindles. They modulate the response of the muscle spindle in accordance to the muscle extension and receive no direct input from proprioceptive sensory afferents. γ-Motoneurons express the spindle-derived glial-derived neurotrophic factor (GDNF) for their survival during the early postnatal period. Experiments with conditional transgenic knock out mice also indicated that β- and possibly also α-motoneurons in part depend on factors generated from the muscle spindle. The skeleto-fusi motoneurons (β-motoneurons) project both on the skeletal muscle and the muscle spindle. They can only hardly be distinguished from the α-motoneurons and only little is known about their specific properties (Kanning et al., 2010). Apart from the terminal differentiation and positioning of the motoneuron cell bodies within the motor columns the growth of axons combined with correct targeting is critical for the latter function of the body.

Mechanisms of Axonal Pathfinding to the Target Muscle

Axon growth is not a random outgrowth process but needs a directed navigation. The direction is determined at the site of the growth cone. The pathfinder structures are capable of recognizing different signals from their surrounding and subsequently react to them. R.W. Sperry postulated in 1963 his chemo-affinity theory, by which the axons find their target cells according to the receptors in the growth cone so that they can recognize the guiding molecules along their way (Sperry, 1963). Nowadays we know that axonal growth is not exclusively dependent on guidance molecules but also depends on molecules on the cell surface, diffusible trophic factors, electric activity and last not least extracellular matrix molecules (Faissner, 1997; Klausmeyer et al., 2011). Diffusible factors can influence growth behavior and survival of neurons over long distances. Basically, diffusible factors and linked signals can act attractively or repulsively on the growing axon and the composition of the receptors on a growth cone determines the chemo-attractively or chemo-repulsively behavior. The combination of attraction and repulsion reveals that the growing axon finds the exit point from the spinal cord to target the muscle tissue. The mechanisms that allow the exit from the neural tube are not fully understood. Specialized neural crest cells, the “Boundary Cap Cells” (BCs), make sure that the motor axons pass the neuroepithelium while the cell bodies stay in the neural tube. When they are not present, this leads to emigration of the cell bodies along the growing axons. Therefore the BCs not only influence the correct axon growth but rather take over responsibility for the resting behavior of the cell bodies of motoneurons. In contrast, the dorsal root ganglionic neurons behave totally different. When taken into culture these neurons start fasciculating as soon as they connect to each other. This behavior is not known from motoneurons when taken into culture. The interaction of the BCs and the growing motor axons is performed by semaphorins and their receptors Neuropilin 2 (Nrp2) and/or Plexin-A2. The protein family of semaphorins includes membrane bound and soluble proteins and represents one of the largest protein families involved in axonal pathfinding. The metametric segmental patterning of the spinal nerves correlates with the typical segmentation including a repetitive rostro-caudal growth patterning and projection through the anterior part of the somites. This is induced by the repulsive signals of the posterior part of the sklerotom. Inhibiting factors are the Peanut Agglutinin (PNA)-Binding glycoprotein and Semaphorin 3F (Sema3F). Positioning of motoneuron cell bodies is mainly mediated by signals from the Slit and Robo family. The Slits prevent migration of the motoneurons towards the ventral floor plate and thereby help them to stay in their correct columns. In contrast, the Netrin/DCC (deleted in colorectal cancer) system attracts spinal motoneurons. The more dorsally positioned interneurons are subdivided in the dI1 to dI6 interneurons. The correct positioning and function of interneurons is important for coordination and gait. Here, the Eph/ephrins and Netrin/DCC act as important mediators. Effects were observed in knock out mice and could show for developing commissural interneurons aberrant midline axon guidance capabilities while the missing dI6 interneuron marker Dmrt3 (Double sex/Male-abnormal-3 Related Transcription factor) results in divergent gait patterning (Vallstedt and Kullander, 2013). Growing spinal motoneurons have to pass embryonic connective tissue on their way. Guidance is performed by chemo-attractive and -repulsive signals. While the axons of the medio-medial motor column (MMC) target to the dorsal trunk musculature, axons of the lateral motor column (LMC) project ventrally towards the limb musculature. Fibroblast growth factor has been identified as a chemotrophic factor for targeting the MMC motoneuron axons. It is secreted by the dermomyotome. Repulsive signals originate from the dorsal root ganglionic cells (DRGs) and the ventral mesenchyme by receptor tyrosine kinases EphA3 and EphA4 and their respective ligand EphrinA. EphA3/EphA4 double mutants display a misguided axon growth as they cannot react to the repulsive signals of EphrinA. As a consequence the growing motor axons of the MMC artificially target the DRGs. Motor axons of the LMC grow ventrally to the limb musculature as they express other receptors compared to the motoneurons of the MMC. They do not react to the repulsive signals which prevent growth of the MMC motor axons into the limbs. The limb target tissue provides cell adhesion molecules of the Immunglobulin superfamily like L1 and the neuronal cell adhesion molecule NCAM. If this direct cell to cell interaction is inhibited it results in a stronger fasciculation and a wrong projection pattern. The concerted activity of soluble factors, membrane- bound factors, receptors on the cell surface and finally electric activity of the target cell establish the correct connection to the muscle cells. Experiments have shown that even on the level of already reduced axon numbers on the muscle so that one fiber is innervated by only one axon of a motoneuron there is still possible substantial alteration. This is mainly due to the fact that the initially made synapses have different stabilities. Experiments have shown that synapses at the skeletal muscle can be discriminated into fast synapsing (FaSyn) and slow synapsing (DeSyn) terminals. Treatment of younger mice with α-bungarotoxin resulted in selective and permanent denervation of the DeSyn synapses when applied before 3 months of age. Interestingly the actual more stable FaSyn synapses appear more vulnerable in a mouse model for spinal muscular atrophy (Murray et al., 2008).
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Authors:  T M Jessell
Journal:  Nat Rev Genet       Date:  2000-10       Impact factor: 53.242

Review 2.  Motor axon pathfinding.

Authors:  Dario Bonanomi; Samuel L Pfaff
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-03       Impact factor: 10.005

3.  Influence of glial-derived matrix molecules, especially chondroitin sulfates, on neurite growth and survival of cultured mouse embryonic motoneurons.

Authors:  Alice Klausmeyer; Rebecca Conrad; Andreas Faissner; Stefan Wiese
Journal:  J Neurosci Res       Date:  2010-12-08       Impact factor: 4.164

4.  Notch signalling regulates stem cell numbers in vitro and in vivo.

Authors:  Andreas Androutsellis-Theotokis; Ronen R Leker; Frank Soldner; Daniel J Hoeppner; Rea Ravin; Steve W Poser; Maria A Rueger; Soo-Kyung Bae; Raja Kittappa; Ronald D G McKay
Journal:  Nature       Date:  2006-06-25       Impact factor: 49.962

5.  Hoxc10 and Hoxd10 regulate mouse columnar, divisional and motor pool identity of lumbar motoneurons.

Authors:  Yuanyuan Wu; Guoying Wang; Sheryl A Scott; Mario R Capecchi
Journal:  Development       Date:  2008-01       Impact factor: 6.868

Review 6.  Pattern formation in the vertebrate neural tube: a sonic hedgehog morphogen-regulated transcriptional network.

Authors:  Eric Dessaud; Andrew P McMahon; James Briscoe
Journal:  Development       Date:  2008-08       Impact factor: 6.868

Review 7.  The tenascin gene family in axon growth and guidance.

Authors:  A Faissner
Journal:  Cell Tissue Res       Date:  1997-11       Impact factor: 5.249

Review 8.  Dorsally derived spinal interneurons in locomotor circuits.

Authors:  Anna Vallstedt; Klas Kullander
Journal:  Ann N Y Acad Sci       Date:  2013-03       Impact factor: 5.691

9.  Differential expression of micro-heterogeneous LewisX-type glycans in the stem cell compartment of the developing mouse spinal cord.

Authors:  Michael Karus; Eva Hennen; Dina Safina; Alice Klausmeyer; Stefan Wiese; Andreas Faissner
Journal:  Neurochem Res       Date:  2013-04-30       Impact factor: 3.996

10.  Normal sulfation levels regulate spinal cord neural precursor cell proliferation and differentiation.

Authors:  Michael Karus; Samira Samtleben; Claudia Busse; Teresa Tsai; Irmgard D Dietzel; Andreas Faissner; Stefan Wiese
Journal:  Neural Dev       Date:  2012-06-08       Impact factor: 3.842

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