Abstract
Corticospinal motor neurons (CSMN) have a unique ability to receive, integrate, translate, and transmit the cerebral cortex's input toward spinal cord targets and therefore act as a “spokesperson” for the initiation and modulation of voluntary movements that require cortical input. CSMN degeneration has an immense impact on motor neuron circuitry and is one of the underlying causes of numerous neurodegenerative diseases, such as primary lateral sclerosis (PLS), hereditary spastic paraplegia (HSP), and amyotrophic lateral sclerosis (ALS). In addition, CSMN death results in long-term paralysis in spinal cord injury patients. Detailed cellular analyses are crucial to gain a better understanding of the pathologies underlying CSMN degeneration. However, visualizing and identifying these vulnerable neuron populations in the complex and heterogeneous environment of the cerebral cortex have proved challenging. Here, we will review recent developments and current applications of novel strategies that reveal the cellular and molecular basis of CSMN health and vulnerability. Such studies hold promise for building long-term effective treatment solutions in the near future.
Introduction
Our expertise in the precise control of fine movement sets us apart from other mammals. Voluntary movement is initiated, modulated, and controlled via a very complicated neural network, called the motor neuron circuitry, which includes neurons and cells that are located both in the cerebral cortex and the spinal cord. The output of neuron function is manifested by muscle contraction leading to precise movement of the legs, arms, and hands. It is this circuitry that helps define us as human beings by giving us a unique advantage to build and create tools and to express ourselves.
Since cognitive abilities are reflected in our actions, it is unreasonable to think that only one neuron type in the brain would be responsible for movement. Among all other neuron types in the cerebral motor cortex, however, one neuron population stands out with its unique abilities and function. These neurons are characterized by: (1) a large pyramidal cell body, (2) a single apical dendrite that extends toward layer I displaying major branching and arborization, especially within layer II/III, (3) numerous basal dendrites arising from the basolateral surface, and most impressively (4) a very long axon that projects toward spinal cord targets (Molnar and Cheung, 2006; Ozdinler and Macklis, 2006; Molyneaux et al., 2007). These neurons, known as Betz cells in humans, are located in layer V of the motor cortex. They are also referred to as the upper motor neurons, corticospinal neurons, and corticospinal projection neurons. We prefer using the name corticospinal motor neurons (CSMN) due to their unique ability and function and to emphasize their role within the motor neuron circuitry.
CSMN are special neuron populations in our cerebral cortex that can collect, integrate, translate, and transmit both the excitatory and the inhibitory cortical inputs as one single message to long distance spinal cord targets. This distinct ability allows them to act as the “spokesperson” of the cerebral cortex for the motor function. Without CSMN, especially in humans, the connection between the cerebral cortex and the spinal cord would be greatly impaired. Therefore, to emphasize the importance of cortical input to the motor neuron circuitry, we think the word “motor” is necessary when naming these long distance projection neurons of the cerebral cortex.
CSMN are heavily modulated by local neuron circuitry and long distance projection neurons, including, but not restricted to, thalamocortical neurons and callosal projection neurons (CPN) (Figure 1A). While details are still emerging about the timing and extent of CSMN regulation, anatomical studies suggest that the major excitatory input to CSMN is mediated by neurons located in layer II/III and layer V of the motor cortex (Thomson and Lamy, 2007; Shepherd, 2011). Thalamacortical neurons are important in carrying cognitive and sensory information to CSMN via neuronal networks that include cerebellum and basal ganglia (Clasca et al., ). The heterogeneity of these neurons in terms of somatodendritic morphology, axonal branching, and laminar specificity is of great importance. Subtle differences within the same neuron population could account for the variations of thalamacortical input to CSMN.
Figure 1
Another excitatory input is provided by CPN, which include ipsi- and contralateral projections (Anderson et al., ). CPN are highly heterogeneous, ranging from small to medium size, and are primarily located in all layers of the cortex, but most prominently in layer V and II/III. They carry integrative circuitry information (Arlotta et al., ; Molyneaux et al., 2007). This neuron population is closely related to CSMN; CPN are born from the same progenitor pool, migrate together in the developing cerebral cortex, and a subset of CPN reside together with CSMN in layer V. However, CPN project to the contralateral side of the cerebral hemisphere and display a different function in cognition, perception, and higher-order thinking.
In addition to long distance projection neurons, local circuitry neurons also have direct input to CSMN. Such neuronal interactions are rather interesting, as they can be mediated both directly and through a secondary neuron population. There is also CSMN-CSMN interaction, as nearby CSMN communicate with each other (Kiritani et al., 2012). Such interactions, which mostly occur within layer V of the motor cortex, could serve both as feedback and feed forward loops (Figure 1A).
Modulation of CSMN function involves a delicate and continuous balance between excitatory and inhibitory inputs. Interneurons account for about 20% of the cortical neuron population (Ikrar et al., 2011), and they are subdivided according to their anatomical location, cell morphology, specific-marker expression, dendritic arborization, and targeting of different sites and compartments of the cortical neurons including CSMN (Markram et al., 2004). Fast-spiking (FS) and low-threshold-spiking (LTS) are two types of interneurons that are implicated in CSMN inhibitory pathways (Tanaka et al., 2011). FS neurons have a high number of local connections to CSMN when compared to LTS. Recent studies designed to dissect out inhibitory inputs converging to CSMN have shown that these FS and LTS differentially inhibit CSMN (Apicella et al., ). While interlaminar input of pyramidal neurons in the layer II/III via LTS neurons provides disynaptic inhibition to CSMN (layer II/III→layer V), intralaminar input to FS from CSMN (layer V→layer V) delivers inhibition to CSMN in a feed forward manner (Figure 1A).
The progressive degeneration of CSMN is accepted as one of the major characteristics of neurodegenerative diseases affecting voluntary movement that require CSMN input to the motor neuron circuitry. For example, hereditary spastic paraplegia (HSP) is best characterized by the progressive degeneration of CSMN (Fink, ). The disease manifests itself with stiffness in the legs, paralysis and motor function defects. Primary lateral sclerosis (PLS) is also characterized by CSMN death and corticospinal tract (CST) degeneration. However, in amyotrophic lateral sclerosis (ALS) both the spinal and cortical motor neurons progressively degenerate (Udaka et al., 1986; Brown and Robberecht, ), adding complexity to the disease (Eisen and Weber, ; Ravits et al., 2007). Although spinal muscular atrophy (SMA) has been characterized by prominent spinal motor neurons (SMN) degeneration, recent evidence also suggests the involvement of CSMN (D'Errico et al., ). Lastly, exome sequencing analysis of patients with HSP revealed numerous shared common pathways and molecular networks that are also involved in ALS as well as Alzheimer's disease and Parkinson's disease (Novarino et al., 2014). This is a remarkable finding as it links numerous disorders at a molecular level. CSMN are clinically important and relevant neuron population that deserve immediate attention to improve future therapeutic applications both in injury and disease. If we can understand the molecular mechanisms responsible for their cellular vulnerability and degeneration, then we may begin to unravel the basis of numerous disease pathologies.
Even though mechanisms of CSMN modulation by cortical neurons is beginning to emerge, it is still not clear how that cortical connectivity and communication is hampered during disease. Since CSMN receive most of their input from the apical dendrite, cellular degeneration, disintegration of apical dendrite and spine loss would have significant consequences on the transfer of cortical signals to the spinal cord targets (Figure 1B). This indeed could be one of the reasons for a dysfunctional motor neuron circuitry and voluntary movement defects.
While CSMN are a crucial component of the motor neuron circuitry, they are not equally central in all species (Lemon, 2008). In rodents, the CST projects through the striatum, internal capsule, pons and pyramidal decussation, and subsequently descends in the ventral part of the dorsal column (Jones et al., 1982; Stanfield, 1992; Terashima, 1995). In humans, these projections descend laterally, and more than 80% of the axon fibers that originate from the CSMN in the motor cortex connect directly with SMN in the spinal cord (Lemon, 2008). This difference in projection paths affects neuronal circuits and connections defining the speed, specificity, and mode of action. Humans are very dexterous with their hands, but are mostly vulnerable to any injury that damages the CST. CSMN numbers are very limited in the cerebral cortex and their cellular degeneration results in severe consequences and is central to numerous neurodegenerative diseases and injury. For example, CSMN health and connectivity are hampered during spinal cord injury. Lesions of the CST result in deterioration in speed, force, and movement coordination (Lemon, 2008). One of the reasons for long-term paralysis in patients is the cellular degeneration of CSMN and the impaired connection between the cerebral cortex and the spinal cord.
We enter a new era of very exciting times in CSMN biology. Historically, there were serious limitations that hindered detailed studies of CSMN. Their importance as a neuron population was not well appreciated, and applications that allowed their cellular analysis were not available. Recently, numerous novel techniques and approaches to help identify and visualize CSMN within the complex structure of the cerebral cortex have been developed. AAV-mediated gene delivery and novel reporter lines now have the potential to change the future of CSMN investigations. In this review, we will introduce and describe these innovative approaches and comparatively discuss their limitations and advantages for future cellular analysis and therapeutic applications.
Retrograde labeling approaches
With their axons projecting to distant targets, projection neurons are one of the most polarized cells in the body and highly depend on axonal transport to maintain cellular homeostasis. Retrograde transport depends on neurons' ability to carry proteins and molecules from the tip of the axon all the way back to the soma. Early studies revealed the basics of this cellular process in the central nervous system (Lavail and Lavail, 1972). Soon after, the ability of axons to uptake and retrogradely transport tracers and molecular dyes was uncovered making it possible to label, identify, and visualize neurons of interest based on their projection path and the pattern of their target innervation (Lavail et al., 1973). Retrograde transport studies demonstrated the importance of growth factors for the development and maturation of neurons. For example, when retrograde transport of nerve growth factor (NGF) to the cell body was revealed, the field opened up to a new idea that this phenomenon was actually critically important for the maintenance of neuronal health and function (Paravicini et al., 1975; Stoeckel and Thoenen, 1975), and it was possible for the axon to retrogradely transport large target-derived macromolecules important for their survival and differentiation (Hendry and Hill, ). The potential consequence of axonal transport defects became an area of interest (McLeod, 1975) and continues to be so with the identification of its association with a vast majority of neurodegenerative diseases (Morfini et al., 2009). In addition, identification of intrinsic differences between axonal transport of proteins in sensory and motor axons was remarkable as it pointed out the specificities of this phenomenon in different neuron populations (Bisby, ).
The anatomical knowledge of the timing and extent of axonal elongation, as well as the neuron's ability to perform retrograde transport, formed the basis of the initial studies that discern a distinct neuron population among many other neuron types. Horseradish peroxidase (HSP) was one of the first reagents used to study retrograde axonal transport and to visualize the cell bodies of projection neurons (Bunt et al., ; Kristensson and Olsson, 1974; Lavail and Lavail, 1974). Tetanus toxin and 3H-proline were introduced as agents that can be retrogradely transported in the axon (Kunzle, 1977; Price and Griffin, 1977) and were widely used in retrograde labeling studies, especially those showing transsynaptic transfer of tetanus toxin. These studies generated interest in its use to determine neuronal connections (Schwab et al., 1979).
The first fluorescent retrograde labeling was performed using red fluorescent Evans blue and blue fluorescent DAPI-primuline injections dramatically improving visualization of cells and the extent of their branching (van der Kooy and Kuypers, 1979). Since then, numerous reagents with different fluorescent properties have been used to retrogradely label neurons. For example, the Bisbenzimide and “nuclear yellow” produced green and golden-yellow labeling, respectively. True Blue, Fast Blue, and Fluoro-Gold (FG) produced blue retrograde labeling (Kuypers et al., 1980). Availability of different dyes with different colors allowed double and triple labeling experiments to study the details of axonal projection paths and to reveal the identity of neurons (De Olmos and Heimer, ). The disadvantages of these early dyes were their diffusion and lack of sustained stability within the cell, which limited their use in connectivity mapping studies.
The use of modern fluorescent tracers, such as latex-based microspheres (Lanciego and Wouterlood, 2011) and FG (Catapano et al., ), have been the most common approach for projection neuron labeling. FG and microspheres are taken up by axons and retrogradely transported to the cell body by fast axonal transport. These dyes are mostly engulfed in lysosomes that fill the somata with stable fluorescence. For example, injection of fluorescent microspheres into the contralateral hemisphere of the motor cortex or spinal cord provided labeling of two distinct projecting neuron populations: CPN and CSMN, respectively (Catapano et al., ; Arlotta et al., ; Ozdinler and Macklis, 2006). More recently, a novel immunopanning method to culture CSMN combined injection of cholera toxin β (CTB) conjugated to fluorescent microspheres to target the axonal tract of CSMN (Dugas et al., ), and CSMN containing CTB were then immunopanned with anti-CTB antibody to yield pure populations of CSMN.
A new era of systems biology began to emerge in the 1970s as the connections among neurons that are located far apart were illuminated. Retrograde labeling and tracing studies began to reveal the unaccounted extent of connectivity in the central nervous system (Cull, ; Yorke and Caviness, 1975; Somogyi et al., 1979). Very systematic and well-defined investigations initiated the early stages of cortical connection mapping studies (Broadwell, ; Bunt et al., ; Liedgren et al., 1976; Walberg et al., 1976; Wise and Jones, 1976), laying the foundation for our current understanding and also identifying defects that occur in the presence of mutations in key genes (Caviness and Yorke, ). In addition, dual labeling approaches began to demonstrate the relationship between two different neuron populations located in the same nucleus suggesting that they can have different functions and mode of actions (Steiger and Buttner-Ennever, 1978).
Retrograde labeling approaches also helped investigations of different neuron populations that are located in various regions of the nervous system and project to different targets, including the muscle. Injection of HSP into the developing limb of the chick embryo enabled the first cellular labeling of developing spinal motor neurons (Oppenheim and Heaton, 1975) and the detailed analysis showed the timing and extent of their development and projection (Landmesser, 1978). Similarly, trochlear motor neurons were first visualized by retrograde labeling using HSP (Sohal and Holt, 1978). The early postnatal development of motor neurons located in the facial nucleus of the brainstem were also studied with similar retrograde labeling approaches (Olsson and Kristensson, 1979).
Most relevant to this review, the origins of the pyramidal tract were first determined by HRP retrograde labeling (Biedenbach and Devito, ), and early studies employing double labeling approaches demonstrated that in the cat, corticospinal neurons were also present in the sensorimotor cortex, especially in area 3a (Rustioni and Hayes, 1981). Similar experiments in rat demonstrated the somatotopy of corticospinal projection neurons and revealed that CSMN were located in layer Vb of the motor cortex extending within the somatosensory cortex. Most impressively, the neurons projecting to the cervical levels of the spinal cord were located further away from the midline whereas the neurons that projected to distal parts of the spinal cord were found closer to the midline (Ullan and Artieda, 1981). Projection patterns of neuron populations located in different areas of the brain, such as the red nucleus, were also studied using double labeling. These approaches revealed the complexity of the descending spinal pathways (Huisman et al., ) and originated many other studies to understand the development and establishment of connections in the motor neuron circuitry that control voluntary movement.
Early and seminal studies, in which the CSMN of the monkey were intracellularly filled with HRP and their anterograde axonal projections were studied in the spinal cord, showed very clearly that CSMN axons mainly terminate in lamina IX and make direct contacts with spinal motor neurons in the spinal cord (Shinoda et al., 1981). Species-specific differences in axonal path formations, target innervations, and circuitry building also began to emerge with the help of this approach (Jones and Leavitt, 1974). The development of the pyramidal tract and neuronal connectivity was studied in many different species, including the hamster, which can regenerate its pyramidal tract axons upon injury if it occurs early in development (Reh and Kalil, 1981). Retrograde labeling studies also enabled the comparative analysis of species differences. Numerous studies using cats, mice, monkeys, and hamsters demonstrated how these species-specific differences affect neural connections and overall networks (Tolbert et al., 1978; Beckstead et al., ).
The CST arises from CSMN located in layer V of the motor cortex. CSMN are born at embryonic day (E) 13.5 in the mouse and start migrating toward layer V of the motor cortex without a major axonal projection (O'Leary and Koester, 1993). By E17, CSMN axons reach the pons and CST axons enter the spinal cord by postnatal day P0 and continue to elongate until P14. By P14, even the most caudal targets in the spinal cord are innervated. This information proves to be very useful when labeling CSMN at different stages of their development. The other important information is related to cellular identity. Even though CSMN can be considered a “pure” neuron population, they are divided into subgroups that innervate different targets within the spinal cord: the cervical, lumbar, and thoracic regions. There are several differences in the CST among species; the anatomical location of CST fibers is in the dorsal columns of the spinal cord in mice, whereas in primates and humans CST fibers are mostly located in the lateral columns and about 10% descends ipsilaterally (Courtine et al., ). The CSMN projection field has been extensively studied in rodents. For instance, anterograde studies utilizing HRP have demonstrated the projection field of CSMN in the dorsal funiculus of the spinal cord in rats (Casale et al., ), These studies were further confirmed using biotin dextran-amine. CST fibers were found in on all levels of the spinal cord in rats (Brosamle and Schwab, ) and mice (Liang et al., 2011). The timing of CSMN axonal growth through the brain to the spinal cord has also been demonstrated with anterograde techniques (Canty and Murphy, ). Hence, the anatomical knowledge of axonal projections and their timing is valuable for labeling distinct projection neuron populations and for distinguishing different types of neurons that reside together in the cerebral cortex but project to different areas in the central nervous system.
Understanding the details of CSMN connectivity also depends on retrograde labeling approaches to reveal the location of CSMN within the complex structure of the motor cortex. Retrograde labeling of CSMN in adult mice also facilitated studies during adulthood and when CSMN are affected in disease (Figures 2C–E). Studies using FG retrograde labeling demonstrated the presence of CSMN in layer V of the motor cortex under UV light (Figures 2F,G). In addition, FG visualization was enhanced by immunocytochemistry with DAB (Figure 2H). This allowed for visualization of CSMN somata and a portion of the proximal apical dendrite, depending on the concentration and elapsed time following FG injection. Using this approach, analysis of the hSOD1G93A ALS mouse model has demonstrated that CSMN degeneration is pre-symtomatic and related to apoptotic mechanisms (Ozdinler et al., 2011). During ALS pathology, CSMN degenerate and there are patterns of cortical hyperexcitability that suggest dysfunction of CSMN in the cerebral cortex (Shepherd, 2013).
Figure 2
A wealth of information on CSMN biology has been generated using retrograde labeling approaches coupled with numerous applications. Since microspheres and FG fluorescently label cells, projection neurons can be purified using fluorescent activated cell sorting (FACS). In the case of CTB labeling, immunopanning is used providing a higher yield than FACS. Tissue culture approaches with CSMN purified using immunopanning approach revealed details of their survival requirements (Figures 2A,B) (Dugas et al.,
Retrograde labeling coupled with electrophysiology are beginning to elucidate details of CSMN biology. For example, laser-scanning photostimulation in CSMN retrogradely labeled with fluorescent microspheres revealed unique intrinsic properties of CSMN when compared to CPN, such as differences in fast action potentials, firing rates, and hyperpolarization activated current modulation (Sheets et al., 2011; Suter et al., 2012).
Retrograde labeling techniques offer great advantages to study CSMN both in vivo and in vitro, but it falls short on providing the essential resolution to investigate the details of their cytoarchitecture. While the location of the cell body can be identified by the presence of fluorescent microspheres and the apex of the proximal apical dendrite can be visualized with FG labeling, they do not reveal cellular details. Virus-mediated gene delivery is one potential solution to this limitation.
AAV-mediated retrograde transduction
Adeno-associated viruses (AAV) have been considered for their potential use in future therapeutic applications due to their low toxicity and ability to transduce a wide variety of cells (During and Leone,
AAV have the potential to transduce a wide variety of cells and neurons. One way to achieve specificity is by retrograde transduction via injection into an axon tract selectively targeting only the cell bodies of neurons projecting through that tract. AAV-mediated retrograde transduction requires binding of the AAV to specific receptors on the axon surface and internalization through a receptor-mediated mechanism. Another way to achieve specificity is by viral vector capsid engineering. Recent advancements involving the discovery and generation of new AAV serotypes offer potential applications for gene delivery in distinct neuron populations (Weinberg et al., 2013). This is especially important considering that in neurodegenerative diseases distinct neuron populations show primary vulnerability and undergoes neurodegeneration. The ability to target the neurons that are vulnerable, without affecting other neurons, cells, and different circuitries, would be critically important for building long-term and effective therapeutic approaches. Here we will focus on the use and application of AAV on the genetic modulation of motor neurons and the components of the motor neuron circuitry.
One of the pioneering works came from studies demonstrating the ability to genetically label a distinct set of SMN by introducing AAV into the muscle fibers they innervate (Martinov et al., 2002). These studies were important as they show that AAV injected to the muscle can retrogradely transduce SMN, and most importantly distinct set of motor neurons are transduced based on their projection field. AAV that encode a gene of interest, such as glial-derived neurotrophic factor (GDNF), were then delivered to the muscle fibers to enhance growth factor expression in a distinct set of SMN (Lu et al., 2003), showing that it is indeed possible to use AAV to retrogradely transduce SMN and induce selective gene expression.
Neurotrophic growth factors that play key roles in the survival of motor neurons, including IGF-1, vascular endothelial growth factor (VEGF), GDNF, and granulocyte-colony stimulating factor (G-CSF), have been considered for ALS therapies (Hester et al.,
AAV-mediated gene delivery approaches have been increasingly used to modulate gene expression in SMN of ALS mouse models. Most recently, intramuscular delivery of the AAV6 encoding silencer shSOD1 RNA transduced SMN but failed to alter disease course in the hSOD1G93A mice (Towne et al., 2011). However, these approaches have significant limitations as they only target the SMN that innervate specific muscle groups. Intrathecal injections releasing AAV6 or AAV9 serotypes at the level of the lumbar spinal cord transduced SMN throughout the spinal cord (Snyder et al., 2011), and intraspinal delivery of AAV-G-CSF showed a high transduction efficiency in SMN with modest improvement in the motor function as well as delayed disease progression and survival (Henriques et al.,
Gene transduction in the cerebral cortex has also been considered via intracortical injections using different AAV serotypes. Different regions of the cerebral cortex have been transduced with a wide variety of AAV serotypes only to reconfirm the heterogeneity and the cellular complexity of the cerebral cortex and to realize that it is not be possible to transduce distinct neuron populations with one serotype (Burger et al.,
When compared to retrograde labeling techniques, AAV-mediated gene delivery is far more powerful in clarifying cytoarchitectural details. In addition, this novel technique has brought several improvements to previously reported methods by combining retrograde labeling and transduction applications to the study of CSMN. Retrograde labeling of CSMN, using dyes and microspheres, enables visualization of their cell bodies but fails to reveal the shape and length of dendritic spines. Even though subtle, these details could be particularly important for neuron function and connectivity. Since spines are the sites of active neuronal communication, their modulation, degeneration, and progressive loss could have implications on disease pathology. Indeed, there is now building evidence to suggest a link between spine morphology and a wide variety of neurological diseases (Penzes et al., 2011). Expressing eGFP gene selectively in CSMN using AAV-mediated retrograde transduction of the CST allowed exclusive, homogenous expression of eGFP within CSMN and analysis of neuronal structures (Figures 2I–K). AAV-mediated gene delivery demonstrated early and selective apical dendrite degeneration in the hSOD1G93A ALS mouse model (Figure 1B). This finding was important because for the first time it deciphered the cellular events that occur in CSMN. Specifically, apical dendrited were filled with vacuoles and spines were lost or vastly degenerated. These defects occurred at P60, a time when SMN begin to show signs of cellular degeneration, suggesting that both upper and lower motor neurons degenerate together in synchrony. Neuronal degeneration was previously thought to develop in a sequence of events that started in the neuromuscular junction spreading to the SMN and CST until finally reaching the CSMN cell body. However, the use of AAV-mediated gene delivery provided a very detailed observation of CSMN and uncovered details about cellular degeneration within the motor neuron circuitry that occurs in ALS. Absence of spines and disintegrating apical dendrites early in the disease may suggest that CSMN do not receive proper input from other cortical neurons that modulate their activity and this could be one of the factors contributing to the observed defects in the motor neuron circuitry. The importance of early apical dendrite degeneration deserves much attention as this is the area CSMN activity is heavily modulated (Shepherd, 2013), and could be one of the underlying causes for circuitry defects and motor dysfunction (Figure 1B).
Using AAV-mediated gene delivery as a potential therapeutic application to facilitate the repair and survival of CSMN in neurodegenerative diseases and after spinal cord injury is a provocative idea. Retrograde transduction also provides the means to study different subsets of CSMN by injecting into different regions of the spinal cord. For instance, cervical and lumbar injections can be utilized to study neurons that project to different spinal cord targets. However, in order to be successful, this approach would necessitate improvements in transduction specificity. There are two main approaches to increase specificity: one is the use of engineered capsid proteins and different serotypes, and the other is the choice of the promoter used to derive gene expression. Therefore, a better understanding of the serotype(s) that transduce CSMN and the use of engineered capsid proteins or different promoters to drive gene expression would improve selective transduction.
Even though selective targeting using retrograde labeling in mice is important, novel approaches need to be developed for selective CSMN transduction in the motor cortex of patients. In mice, the CST lies within the dorsal funiculus of the spinal cord, but in humans the majority of the CST lies within the lateral columns, limiting direct access. This anatomical difference of axon projection path is particularly important. The modulation of genes only in SMN may not be sufficient to implement a long-term and effective treatment strategy in ALS and other related motor neuron diseases. Therefore, approaches to transduce CSMN, in addition to SMN, need to be developed.
AAV approaches are not without their limitations. One disadvantage is related to the variations introduced by the surgical techniques. AAV transduction has very low levels of toxicity, but studies have revealed that intracranial injections might elicit an immune response (Weinberg et al., 2013). AAV have small packaging capacity (<5 kb) that might limit genes of interest. In addition, the timing of intervention and concentration to achieve a therapeutic effect might be challenging. We anticipate that in the future AAV engineering will offer new serotypes with novel properties that might facilitate the transduction of CSMN upon direct injection into the motor cortex. Interestingly, several clinical trials for other neurodegenerative diseases have explored the possibility of intracranial injections (Hester et al.,
Genetic labeling of distinct neuron populations
Genetic labeling allows visualization of cells with spatiotemporal resolution in vivo. Compared to surgical approaches, genetic labeling has several advantages such as reducing variability from subject to subject, experiment to experiment and lab-to-lab, ensuring reproducibility of findings. Potential limitations of genetic labeling are the limited availability of unique genes/markers for specific cell types and the alterations in gene expression. Certain genes undergo spatiotemporal alterations throughout development and even environmental factors may affect control of gene expression by epigenetic mechanisms. However, advantages of genetic labeling outweigh any disadvantages and are widely used (Huang and Zeng,
There are three main different ways to achieve genetic targeting: (1) conventional/bacterial artificial chromosome (BAC) transgene (Schmidt et al., 2013), (2) gene knock-in (Taniguchi et al., 2011), and (3) gene/enhancer trapping (Leighton et al., 2001; Kelsch et al., 2012). Conventional or BAC transgene approaches use a transgene cassette, or BAC, to introduce the promoter/enhancer regions of the gene of interest to drive expression of a reporter which mimics endogenous expression patterns. They are randomly inserted in the genome, which may cause variations in expression patterns among founder lines. Gene knock-in relies on inserting the reporter gene in the endogenous location of the gene of interest to fully recapitulate endogenous expression patterns, however it is technically more challenging and expression of the target gene itself may be altered even using an internal ribosome entry site (IRES) sequence. In enhancer trapping, a reporter driven by a minimal promoter is randomly inserted in the genome, and local enhancers near the insertion site then determine expression of the reporter.
Discovery of green fluorescent protein (GFP) (Tsien, 1998) in 1962 was a significant milestone for cell and molecular biology, and it was granted the Nobel Prize in Chemistry in 2008 (Weiss, 2008). It was not long before GFP was used as a marker for gene expression in eukaryotes (Chalfie et al.,
Numerous reporter mouse lines have been generated using genetic targeting methods and extensively used to study various cell types in the mouse CNS, such as layer V pyramidal neurons (Feng et al.,
Another reporter line extensively used to study motor systems is HB9-GFP, which labels about 90% of SMN in the developing embryo (Wichterle et al., 2002) but only about half of large Choline acetyl transferase (ChAT)+ SMN in the ventral horn of the adult (Chang and Martin,
Gene Expression Nervous System Atlas (GENSAT) database has been invaluable in providing a detailed library of hundreds of distinct, genetically defined cell populations from engineered mice utilizing BAC (Gong et al.,
Figure 3

Genetic Labeling of CSMN. (A) Schematic drawing of genetic labeling of CSMN by eGFP expression under control of UCHL1 promoter. (B) A representative sagittal section of a P120 mouse brain showing eGFP+ CSMN and their axons. (C) In motor cortex, eGFP+ CSMN can be seen in layer 5a and 5b. (C') Higher magnification of individual representative eGFP+ CSMN in the motor cortex. (D–F) eGFP+ axons of CSMN projecting through the striatum (D), pons (E), and pyramidal decussation (F). Scale bars: (B) = 1 mm, (C,D and E) = 200μ m, (C') = 20μ m, (F) = 500μ m.
The main challenge of genetic labeling approaches remains identification of genes/promoters that distinctly and specifically labels a neuronal subpopulation of interest. Once such reporters have been identified and characterized, there are numerous advanced applications. Recent advances in microscopy allow imaging cells in live animals (intravital imaging) (Pittet and Weissleder, 2011; Weigert et al., 2013). In vivo imaging has recently been applied to study spinal cord regeneration (Laskowski and Bradke, 2013). Optogenetics approaches take advantage of channelrhodopsin-2, which can be genetically targeted to neurons of interest and used to manipulate neural activity with millisecond precision using light (Packer et al., 2013). This allows imaging and long-range circuit mapping of multiple cell types (Atasoy et al.,
Numerous techniques and applications are being developed simultaneously to target neurons of interest. Advances in genetic labeling of select sets of neuron populations coupled with numerous applications that allow their cellular and molecular analysis at different experimental conditions and disease settings will reveal the underlying mechanisms for proper cellular function as well as the molecular networks that are responsible for their selective vulnerability. This information will be the foundation for future effective treatments strategies in diseases that primarily affect distinct neuron populations at initial stages.
Conclusion
Techniques allow detailed analysis, but it is our critical thinking that shapes the field and the future. Many important discoveries are made when approaches and critical thinking develop simultaneously. The definition of “disease,” the description of pathologies, and our understanding of symptom development have vastly changed in the last decade. In addition, numerous new techniques and applications, which allow studies that were not previously possible, have become available. These two critical components of innovation have the potential to shape the future of neurodegenerative diseases once understood and applied properly. We now have reasons to believe that numerous discoveries will emerge in the near future.
Recently, the word “spectrum” was introduced when describing numerous neurodegenerative disorders to highlight the blurred boundaries among diseases and place them under an umbrella of systems degeneration with many common features. This is an important shift from disease-based thinking toward a more mechanism-oriented understanding that emphasizes the common underlying pathologies that give rise to different forms of neurodegeneration. This paradigm shift in our understanding has an impact on defining pathologies, disease mechanisms, and symptoms. The neurons that show vulnerability and undergo progressive degeneration have moved center stage. We now realize the importance of understanding the cellular, molecular, and genetic basis of pathology at a cellular level. This change in critical thinking proved to be correct by the failures of clinical trials. The expectation for improved lifespan in mice to translate into success in ALS patient survival is now considered mostly unrealistic. Today, clinical companies are more cautious when making a decision to move forward, and seek more cell-based evidence that supports motor neuron survival (Genç and Ozdinler,
In recent years, there have been significant changes in the meaning of the word “symptom.” Previously, symptoms were described as signs of pathology that can be detected by visual examination or various tests. However, it became obvious that our ability to detect signs of pathology at a molecular, cellular, and systems level was different. Even when no obvious signs were present, the pathology was taking its course at a cellular level. If the cellular basis of disease causing pathologies was understood, then these findings would set the stage, not only for early detection of the disease, but also for the development and implementation of effective long-term treatment strategies. Therefore, it is important to detect symptoms at a cellular level before pathologies become evident. We need to develop new approaches to focus our attention on the neuron, on the cell that is affected and has become vulnerable. Because if we understand the molecular and genetic basis of neuronal vulnerability at a cellular level, then we will have the chance to understand the basis of neuronal pathology and systems degeneration.
Studying CSMN biology is especially challenging, not only because they are limited in numbers and not easy to identify, but also because the techniques, technologies, approaches, and model systems to study them are not easy to develop. Due to species differences, modeling CSMN degeneration in mice has intrinsic limitations. Even though a minor defect would lead to a motor dysfunction in patients, mice would not display an obvious defect. This could indeed be one of the reasons why the mouse models of motor neuron diseases do not show a prominent phenotype. Working in models without an obvious functional readout can be challenging. However, if the models are built at a cellular level, or if the focus is shifted from mice to the motor neurons in mice, then the picture and the scope of perception changes dramatically. At a cellular level, the CSMN in humans and in mice are almost identical. It is thus important to develop technologies that reveal the underlying factors that contribute to the cellular vulnerability and degeneration. As long as our focus is the neuron and not the mice, the information gathered from healthy and diseased neurons would be translational.
Understanding the controls over CSMN health is becoming very central to numerous neurodegenerative diseases. Here we reviewed the exciting progress in the study of upper motor neurons. Retrograde labeling is a prominent approach to identify the location of the neuron and to visualize its cell body. AAV-mediated retrograde transduction, on the other hand, is not only a powerful tool to deliver genes of interest, but also important to reveal details of cellular cytoarchitecture. However, both of these applications require surgery and the success of each experiment mostly depends on surgical expertise and mouse survival. Genetic labeling that intrinsically targets a distinct neuron population offers a solution for the potential limitations of retrograde labeling surgeries. Generation and characterization of the UCHL1-eGFP mouse, in which the CSMN are genetically labeled, has been pivotal for overcoming numerous important limitations by allowing in vivo visualization and cellular analysis of neurons that are vulnerable in neurodegenerative diseases.
With the advancements made in the study of CSMN biology, the future awaits numerous important discoveries. FACS purification coupled with in vitro culturing will allow novel drug screening and verification platforms using motor neuron health as a readout for success. This application has the potential to discover new molecules and compounds for future clinical trials. In addition, development of AAV-mediated gene delivery, together with the identification of new genes and pathways that are important for disease pathology will enable direct cellular therapies into the motor cortex of patients improving the survival of upper motor neurons and enhancing their connectivity. Identification of the cellular and molecular basis of CSMN vulnerability will be revealed, paving the way for understanding the cellular pathways, networks, and dynamics that are important to improve motor neuron health.
We live in very exciting times due to the numerous improvements in our critical thinking of neurodegenerative diseases, and the technologies that support discoveries are developing faster than ever. The new knowledge gathered from neurons of interest will enable development of novel effective long-term treatment strategies and has the potential to expedite new discoveries that will enable improved health in patients.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AndersonC. T.SheetsP. L.KiritaniT.ShepherdG. M. (2010). Sublayer-specific microcircuits of corticospinal and corticostriatal neurons in motor cortex. Nat. Neurosci. 13, 739–744. 10.1038/nn.2538
2
ApicellaA. J.WickershamI. R.SeungH. S.ShepherdG. M. (2012). Laminarly orthogonal excitation of fast-spiking and low-threshold-spiking interneurons in mouse motor cortex. J. Neurosci. 32, 7021–7033. 10.1523/JNEUROSCI.0011-12.2012
3
ArlottaP.MolyneauxB. J.ChenJ.InoueJ.KominamiR.MacklisJ. D. (2005). Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo. Neuron45, 207–221. 10.1016/j.neuron.2004.12.036
4
AtasoyD.AponteY.SuH. H.SternsonS. M. (2008). A FLEX switch targets Channelrhodopsin-2 to multiple cell types for imaging and long-range circuit mapping. J. Neurosci. 28, 7025–7030. 10.1523/JNEUROSCI.1954-08.2008
5
BannermanP. G.HahnA.RamirezS.MorleyM.BonnemannC.YuS.et al. (2005). Motor neuron pathology in experimental autoimmune encephalomyelitis: studies in THY1-YFP transgenic mice. Brain128, 1877–1886. 10.1093/brain/awh550
6
BareyreF. M.KerschensteinerM.MisgeldT.SanesJ. R. (2005). Transgenic labeling of the corticospinal tract for monitoring axonal responses to spinal cord injury. Nat. Med. 11, 1355–1360. 10.1038/nm1331
7
BecksteadR. M.EdwardsS. B.FrankfurterA. (1981). A comparison of the intranigral distribution of nigrotectal neurons labeled with horseradish peroxidase in the monkey, cat, and rat. J. Neurosci. 1, 121–125.
8
BiedenbachM. A.DevitoJ. L. (1980). Origin of the pyramidal tract determined with horseradish peroxidase. Brain Res. 193, 1–17. 10.1016/0006-8993(80)90941-5
9
BisbyM. A. (1977). Retrograde axonal transport of endogenous protein: differences between motor and sensory axons. J. Neurochem. 28, 249–251. 10.1111/j.1471-4159.1977.tb07737.x
10
BittnerT.FuhrmannM.BurgoldS.OchsS. M.HoffmannN.MittereggerG.et al. (2010). Multiple events lead to dendritic spine loss in triple transgenic Alzheimer's disease mice. PLoS ONE5:e15477. 10.1371/journal.pone.0015477
11
BoilleeS.ClevelandD. W. (2004). Gene therapy for ALS delivers. Trends Neurosci. 27, 235–238. 10.1016/j.tins.2004.03.002
12
BroadwellR. D. (1975). Olfactory relationships of the telencephalon and diencephalon in the rabbit. II. An autoradiographic and horseradish peroxidase study of the efferent connections of the anterior olfactory nucleus. J. Comp. Neurol. 164, 389–409. 10.1002/cne.901640402
13
BrosamleC.SchwabM. E. (1997). Cells of origin, course, and termination patterns of the ventral, uncrossed component of the mature rat corticospinal tract. J. Comp. Neurol. 386, 293–303. 10.1002/(SICI)1096-9861(19970922)386:2%3C293::AID-CNE9%3E3.0.CO;2-X
14
BrownR. H.Jr.RobberechtW. (2001). Amyotrophic lateral sclerosis: pathogenesis. Semin. Neurol. 21, 131–139. 10.1055/s-2001-15260
15
BuntA. H.HendricksonA. E.LundJ. S.LundR. D.FuchsA. F. (1975). Monkey retinal ganglion cells: morphometric analysis and tracing of axonal projections, with a consideration of the peroxidase technique. J. Comp. Neurol. 164, 265–285. 10.1002/cne.901640302
16
BuntA. H.LundR. D.LundJ. S. (1974). Retrograde axonal transport of horseradish peroxidase by ganglion cells of the albino rat retina. Brain Res. 73, 215–228. 10.1016/0006-8993(74)91045-2
17
BurgerC.NashK.MandelR. J. (2005). Recombinant adeno-associated viral vectors in the nervous system. Hum. Gene Ther. 16, 781–791. 10.1089/hum.2005.16.781
18
CaiD.CohenK. B.LuoT.LichtmanJ. W.SanesJ. R. (2013). Improved tools for the Brainbow toolbox. Nat. Methods10, 540–547. 10.1038/nmeth.2450
19
CantyA. J.MurphyM. (2008). Molecular mechanisms of axon guidance in the developing corticospinal tract. Prog. Neurobiol. 85, 214–235. 10.1016/j.pneurobio.2008.02.001
20
CasaleE. J.LightA. R.RustioniA. (1988). Direct projection of the corticospinal tract to the superficial laminae of the spinal cord in the rat. J. Comp. Neurol. 278, 275–286. 10.1002/cne.902780210
21
CatapanoL. A.ArnoldM. W.PerezF. A.MacklisJ. D. (2001). Specific neurotrophic factors support the survival of cortical projection neurons at distinct stages of development. J. Neurosci. 21, 8863–8872.
22
CatapanoL. A.MagaviS. S.MacklisJ. D. (2002). Neuroanatomical tracing of neuronal projections with Fluoro-Gold. Methods Mol. Biol. 198, 299–304. 10.1385/1-59259-186-8:299
23
CavinessV. S.Jr.YorkeC. H.Jr. (1976). Interhemispheric neocortical connections of the corpus callosum in the reeler mutant mouse: a study based on anterograde and retrograde methods. J. Comp. Neurol. 170, 449–459. 10.1002/cne.901700405
24
ChalfieM.TuY.EuskirchenG.WardW. W.PrasherD. C. (1994). Green fluorescent protein as a marker for gene expression. Science263, 802–805. 10.1126/science.8303295
25
ChangQ.MartinL. J. (2011). Glycine receptor channels in spinal motoneurons are abnormal in a transgenic mouse model of amyotrophic lateral sclerosis. J. Neurosci. 31, 2815–2827. 10.1523/JNEUROSCI.2475-10.2011
26
ChattopadhyayaB.Di CristoG.HigashiyamaH.KnottG. W.KuhlmanS. J.WelkerE.et al. (2004). Experience and activity-dependent maturation of perisomatic GABAergic innervation in primary visual cortex during a postnatal critical period. J. Neurosci. 24, 9598–9611. 10.1523/JNEUROSCI.1851-04.2004
27
ClascaF.Rubio-GarridoP.JabaudonD. (2012). Unveiling the diversity of thalamocortical neuron subtypes. Eur. J. Neurosci. 35, 1524–1532. 10.1111/j.1460-9568.2012.08033.x
28
CourtineG.BungeM. B.FawcettJ. W.GrossmanR. G.KaasJ. H.LemonR.et al. (2007). Can experiments in nonhuman primates expedite the translation of treatments for spinal cord injury in humans?Nat. Med. 13, 561–566. 10.1038/nm1595
29
CullR. E. (1975). Role of axonal transport in maintaining central synaptic connections. Exp. Brain Res. 24, 97–101. 10.1007/BF00236020
30
DaviesS. E.HallettP. J.MoensT.SmithG.ManganoE.KimH. T.et al. (2013). Enhanced ubiquitin-dependent degradation by Nedd4 protects against alpha-synuclein accumulation and toxicity in animal models of Parkinson's disease. Neurobiol. Dis. 64C, 79–87. 10.1016/j.nbd.2013.12.011
31
DayR. N.DavidsonM. W. (2012). Fluorescent proteins for FRET microscopy: monitoring protein interactions in living cells. Bioessays34, 341–350. 10.1002/bies.201100098
32
DecressacM.MattssonB.LundbladM.WeikopP.BjorklundA. (2012). Progressive neurodegenerative and behavioural changes induced by AAV-mediated overexpression of alpha-synuclein in midbrain dopamine neurons. Neurobiol. Dis. 45, 939–953. 10.1016/j.nbd.2011.12.013
33
De OlmosJ.HeimerL. (1980). Double and triple labeling of neurons with fluorescent substances; the study of collateral pathways in the ascending raphe system. Neurosci. Lett. 19, 7–12. 10.1016/0304-3940(80)90247-5
34
DepryC.MehtaS.ZhangJ. (2013). Multiplexed visualization of dynamic signaling networks using genetically encoded fluorescent protein-based biosensors. Pflugers Arch. 465, 373–381. 10.1007/s00424-012-1175-y
35
D'ErricoP.BoidoM.PirasA.ValsecchiV.De AmicisE.LocatelliD.et al. (2013). Selective vulnerability of spinal and cortical motor neuron subpopulations in delta7 SMA mice. PLoS ONE8:e82654. 10.1371/journal.pone.0082654
36
Di GiorgioF. P.CarrascoM. A.SiaoM. C.ManiatisT.EgganK. (2007). Non-cell autonomous effect of glia on motor neurons in an embryonic stem cell-based ALS model. Nat. Neurosci. 10, 608–614. 10.1038/nn1885
37
DodgeJ. C.HaidetA. M.YangW.PassiniM. A.HesterM.ClarkeJ.et al. (2008). Delivery of AAV-IGF-1 to the CNS extends survival in ALS mice through modification of aberrant glial cell activity. Mol. Ther. 16, 1056–1064. 10.1038/mt.2008.60
38
DombeckD. A.KhabbazA. N.CollmanF.AdelmanT. L.TankD. W. (2007). Imaging large-scale neural activity with cellular resolution in awake, mobile mice. Neuron56, 43–57. 10.1016/j.neuron.2007.08.003
39
DoyleJ. P.DoughertyJ. D.HeimanM.SchmidtE. F.StevensT. R.MaG.et al. (2008). Application of a translational profiling approach for the comparative analysis of CNS cell types. Cell135, 749–762. 10.1016/j.cell.2008.10.029
40
DudanovaI.GattoG.KleinR. (2010). GDNF acts as a chemoattractant to support ephrinA-induced repulsion of limb motor axons. Curr. Biol. 20, 2150–2156. 10.1016/j.cub.2010.11.021
41
DugasJ. C.MandemakersW.RogersM.IbrahimA.DanemanR.BarresB. A. (2008). A novel purification method for CNS projection neurons leads to the identification of brain vascular cells as a source of trophic support for corticospinal motor neurons. J. Neurosci. 28, 8294–8305. 10.1523/JNEUROSCI.2010-08.2008
42
DuringM. J.LeoneP. (1995). Adeno-associated virus vectors for gene therapy of neurodegenerative disorders. Clin. Neurosci. 3, 292–300.
43
EisenA.WeberM. (2001). The motor cortex and amyotrophic lateral sclerosis. Muscle Nerve24, 564–573. 10.1002/mus.1042
44
FengG.MellorR. H.BernsteinM.Keller-PeckC.NguyenQ. T.WallaceM.et al. (2000). Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. Neuron28, 41–51. 10.1016/S0896-6273(00)00084-2
45
FinkJ. K. (2001). Progressive spastic paraparesis: hereditary spastic paraplegia and its relation to primary and amyotrophic lateral sclerosis. Semin. Neurol. 21, 199–207. 10.1055/s-2001-15265
46
FranzC. K.RutishauserU.RafuseV. F. (2005). Polysialylated neural cell adhesion molecule is necessary for selective targeting of regenerating motor neurons. J. Neurosci. 25, 2081–2091. 10.1523/JNEUROSCI.4880-04.2005
47
GençB.OzdinlerP. H. (2013). Moving forward in clinical trials for ALS: motor neurons lead the way please. Drug Discov. Today. [Epub ahead of print]. 10.1016/j.drudis.2013.10.014
48
GerfenC. R.PaletzkiR.HeintzN. (2013). GENSAT BAC cre-recombinase driver lines to study the functional organization of cerebral cortical and basal ganglia circuits. Neuron80, 1368–1383. 10.1016/j.neuron.2013.10.016
49
GongS.DoughtyM.HarbaughC. R.CumminsA.HattenM. E.HeintzN.et al. (2007). Targeting Cre recombinase to specific neuron populations with bacterial artificial chromosome constructs. J. Neurosci. 27, 9817–9823. 10.1523/JNEUROSCI.2707-07.2007
50
GongS.ZhengC.DoughtyM. L.LososK.DidkovskyN.SchambraU. B.et al. (2003). A gene expression atlas of the central nervous system based on bacterial artificial chromosomes. Nature425, 917–925. 10.1038/nature02033
51
GrutzendlerJ.KasthuriN.GanW. B. (2002). Long-term dendritic spine stability in the adult cortex. Nature420, 812–816. 10.1038/nature01276
52
GurneyM. E.PuH.ChiuA. Y.Dal CantoM. C.PolchowC. Y.AlexanderD. D.et al. (1994). Motor neuron degeneration in mice that express a human Cu,Zn superoxide dismutase mutation. Science264, 1772–1775. 10.1126/science.8209258
53
HanY.ChangQ. A.ViragT.WestN. C.GeorgeD.CastroM. G.et al. (2010). Lack of humoral immune response to the tetracycline (Tet) activator in rats injected intracranially with Tet-off rAAV vectors. Gene Ther. 17, 616–625. 10.1038/gt.2010.6
54
HendryI. A.HillC. E. (1980). Retrograde axonal transport of target tissue-derived macromolecules. Nature287, 647–649. 10.1038/287647a0
55
HenriquesA.PitzerC.DittgenT.KlugmannM.DupuisL.SchneiderA. (2011). CNS-targeted viral delivery of G-CSF in an animal model for ALS: improved efficacy and preservation of the neuromuscular unit. Mol. Ther. 19, 284–292. 10.1038/mt.2010.271
56
HesterM. E.FoustK. D.KasparR. W.KasparB. K. (2009). AAV as a gene transfer vector for the treatment of neurological disorders: novel treatment thoughts for ALS. Curr. Gene Ther. 9, 428–433. 10.2174/156652309789753383
57
HuangZ. J.ZengH. (2013). Genetic approaches to neural circuits in the mouse. Annu. Rev. Neurosci. 36, 183–215. 10.1146/annurev-neuro-062012-170307
58
HuberA. B.KaniaA.TranT. S.GuC.De Marco GarciaN.LieberamI.et al. (2005). Distinct roles for secreted semaphorin signaling in spinal motor axon guidance. Neuron48, 949–964. 10.1016/j.neuron.2005.12.003
59
HuismanA. M.KuypersH. G.VerburghC. A. (1981). Quantitative differences in collateralization of the descending spinal pathways from red nucleus and other brain stem cell groups in rat as demonstrated with the multiple fluorescent retrograde tracer technique. Brain Res. 209, 271–286. 10.1016/0006-8993(81)90153-0
60
HutsonT. H.VerhaagenJ.Yanez-MunozR. J.MoonL. D. (2011). Corticospinal tract transduction: a comparison of seven adeno-associated viral vector serotypes and a non-integrating lentiviral vector. Gene Ther. 19, 49–60. 10.1038/gt.2011.71
61
IkrarT.OlivasN. D.ShiY.XuX. (2011). Mapping inhibitory neuronal circuits by laser scanning photostimulation. J. Vis. Exp. pii:3109. 10.3791/3109
62
JaraJ. H.VillaS. R.KhanN. A.BohnM. C.OzdinlerP. H. (2012). AAV2 mediated retrograde transduction of corticospinal motor neurons reveals initial and selective apical dendrite degeneration in ALS. Neurobiol. Dis. 47, 174–183. 10.1016/j.nbd.2012.03.036
63
JonesE. G.LeavittR. Y. (1974). Retrograde axonal transport and the demonstration of non-specific projections to the cerebral cortex and striatum from thalamic intralaminar nuclei in the rat, cat and monkey. J. Comp. Neurol. 154, 349–377. 10.1002/cne.901540402
64
JonesE. G.SchreyerD. J.WiseS. P. (1982). Growth and maturation of the rat corticospinal tract. Prog. Brain Res. 57, 361–379. 10.1016/S0079-6123(08)64137-0
65
KarumbayaramS.KellyT. K.PaucarA. A.RoeA. J.UmbachJ. A.CharlesA.et al. (2009). Human embryonic stem cell-derived motor neurons expressing SOD1 mutants exhibit typical signs of motor neuron degeneration linked to ALS. Dis. Model. Mech. 2, 189–195. 10.1242/dmm.002113
66
KasparB. K.LladoJ.SherkatN.RothsteinJ. D.GageF. H. (2003). Retrograde viral delivery of IGF-1 prolongs survival in a mouse ALS model. Science301, 839–842. 10.1126/science.1086137
67
KeiferO. P.Jr.O'ConnorD. M.BoulisN. M. (2014). Gene and protein therapies utilizing VEGF for ALS. Pharmacol. Ther. 141, 261–271. 10.1016/j.pharmthera.2013.10.009
68
KelschW.StolfiA.LoisC. (2012). Genetic labeling of neuronal subsets through enhancer trapping in mice. PLoS ONE7:e38593. 10.1371/journal.pone.0038593
69
KiritaniT.WickershamI. R.SeungH. S.ShepherdG. M. (2012). Hierarchical connectivity and connection-specific dynamics in the corticospinal-corticostriatal microcircuit in mouse motor cortex. J. Neurosci. 32, 4992–5001. 10.1523/JNEUROSCI.4759-11.2012
70
KristenssonK.OlssonY. (1974). Retrograde transport of horseradish peroxidase in transected axons. 1. Time relationships between transport and induction of chromatolysis. Brain Res. 79, 101–109. 10.1016/0006-8993(74)90569-1
71
KunzleH. (1977). Evidence for selective axon-terminal uptake and retrograde transport of label in cortico- and rubrospinal systems after injection of 3H-proline. Exp. Brain Res. 28, 125–132. 10.1007/BF00237090
72
KuypersH. G.BentivoglioM.Catsman-BerrevoetsC. E.BharosA. T. (1980). Double retrograde neuronal labeling through divergent axon collaterals, using two fluorescent tracers with the same excitation wavelength which label different features of the cell. Exp. Brain Res. 40, 383–392. 10.1007/BF00236147
73
LanciegoJ. L.WouterloodF. G. (2011). A half century of experimental neuroanatomical tracing. J. Chem. Neuroanat. 42, 157–183. 10.1016/j.jchemneu.2011.07.001
74
LandmesserL. (1978). The development of motor projection patterns in the chick hind limb. J. Physiol. 284, 391–414.
75
LangouK.MoumenA.PellegrinoC.AebischerJ.MedinaI.AebischerP.et al. (2010). AAV-mediated expression of wild-type and ALS-linked mutant VAPB selectively triggers death of motoneurons through a Ca2+-dependent ER-associated pathway. J. Neurochem. 114, 795–809. 10.1111/j.1471-4159.2010.06806.x
76
LaskowskiC. J.BradkeF. (2013). In vivo imaging: a dynamic imaging approach to study spinal cord regeneration. Exp. Neurol. 242, 11–17. 10.1016/j.expneurol.2012.07.007
77
LavailJ. H.LavailM. M. (1972). Retrograde axonal transport in the central nervous system. Science176, 1416–1417. 10.1126/science.176.4042.1416
78
LavailJ. H.LavailM. M. (1974). The retrograde intraaxonal transport of horseradish peroxidase in the chick visual system: a light and electron microscopic study. J. Comp. Neurol. 157, 303–357. 10.1002/cne.901570304
79
LavailJ. H.WinstonK. R.TishA. (1973). A method based on retrograde intraaxonal transport of protein for identification of cell bodies of origin of axons terminating within the CNS. Brain Res. 58, 470–477. 10.1016/0006-8993(73)90016-4
80
LeightonP. A.MitchellK. J.GoodrichL. V.LuX.PinsonK.ScherzP.et al. (2001). Defining brain wiring patterns and mechanisms through gene trapping in mice. Nature410, 174–179. 10.1038/35065539
81
LemonR. N. (2008). Descending pathways in motor control. Annu. Rev. Neurosci. 31, 195–218. 10.1146/annurev.neuro.31.060407.125547
82
LiangH.PaxinosG.WatsonC. (2011). Projections from the brain to the spinal cord in the mouse. Brain Struct. Funct. 215, 159–186. 10.1007/s00429-010-0281-x
83
LiedgrenS. R.KristenssonK.LarsbyB.OdkvistL. M. (1976). Projection of thalamic neurons to cat primary vestibular cortical fields studied by means of retrograde axonal transport of horseradish peroxidase. Exp. Brain Res. 24, 237–243. 10.1007/BF00235012
84
LiuX.RamirezS.PangP. T.PuryearC. B.GovindarajanA.DeisserothK.et al. (2012). Optogenetic stimulation of a hippocampal engram activates fear memory recall. Nature484, 381–385. 10.1038/nature11028
85
LivetJ.WeissmanT. A.KangH.DraftR. W.LuJ.BennisR. A.et al. (2007). Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system. Nature450, 56–62. 10.1038/nature06293
86
Lopez-BenditoG.SturgessK.ErdelyiF.SzaboG.MolnarZ.PaulsenO. (2004). Preferential origin and layer destination of GAD65-GFP cortical interneurons. Cereb. Cortex14, 1122–1133. 10.1093/cercor/bhh072
87
LuY. Y.WangL. J.MuramatsuS.IkeguchiK.FujimotoK.OkadaT.et al. (2003). Intramuscular injection of AAV-GDNF results in sustained expression of transgenic GDNF, and its delivery to spinal motoneurons by retrograde transport. Neurosci. Res. 45, 33–40. 10.1016/S0168-0102(02)00195-5
88
LuoL. (2007). Fly MARCM and mouse MADM: genetic methods of labeling and manipulating single neurons. Brain Res. Rev. 55, 220–227. 10.1016/j.brainresrev.2007.01.012
89
MandelR. J.SprattS. K.SnyderR. O.LeffS. E. (1997). Midbrain injection of recombinant adeno-associated virus encoding rat glial cell line-derived neurotrophic factor protects nigral neurons in a progressive 6-hydroxydopamine-induced degeneration model of Parkinson's disease in rats. Proc. Natl. Acad. Sci. U.S.A. 94, 14083–14088. 10.1073/pnas.94.25.14083
90
MarkramH.Toledo-RodriguezM.WangY.GuptaA.SilberbergG.WuC. (2004). Interneurons of the neocortical inhibitory system. Nat. Rev. Neurosci. 5, 793–807. 10.1038/nrn1519
91
MartinovV. N.SeflandI.WalaasS. I.LomoT.NjaA.HooverF. (2002). Targeting functional subtypes of spinal motoneurons and skeletal muscle fibers in vivo by intramuscular injection of adenoviral and adeno-associated viral vectors. Anat Embryol. (Berl.)205, 215–221. 10.1007/s00429-002-0233-1
92
McCownT. J. (2005). Adeno-associated virus (AAV) vectors in the CNS. Curr. Gene Ther. 5, 333–338. 10.2174/1566523054064995
93
McGovernV. L.GavrilinaT. O.BeattieC. E.BurghesA. H. (2008). Embryonic motor axon development in the severe SMA mouse. Hum. Mol. Genet. 17, 2900–2909. 10.1093/hmg/ddn189
94
McLeodD. (1975). Clinical sign of obstructed axoplasmic transport. Lancet2, 954–956. 10.1016/S0140-6736(75)90364-5
95
MilesG. B.YohnD. C.WichterleH.JessellT. M.RafuseV. F.BrownstoneR. M. (2004). Functional properties of motoneurons derived from mouse embryonic stem cells. J. Neurosci. 24, 7848–7858. 10.1523/JNEUROSCI.1972-04.2004
96
MolnarZ.CheungA. F. (2006). Towards the classification of subpopulations of layer V pyramidal projection neurons. Neurosci. Res. 55, 105–115. 10.1016/j.neures.2006.02.008
97
MolyneauxB. J.ArlottaP.MenezesJ. R.MacklisJ. D. (2007). Neuronal subtype specification in the cerebral cortex. Nat. Rev. Neurosci. 8, 427–437. 10.1038/nrn2151
98
MorfiniG. A.BurnsM.BinderL. I.KanaanN. M.LapointeN.BoscoD. A.et al. (2009). Axonal transport defects in neurodegenerative diseases. J. Neurosci. 29, 12776–12786. 10.1523/JNEUROSCI.3463-09.2009
99
NagaiM.ReD. B.NagataT.ChalazonitisA.JessellT. M.WichterleH.et al. (2007). Astrocytes expressing ALS-linked mutated SOD1 release factors selectively toxic to motor neurons. Nat. Neurosci. 10, 615–622. 10.1038/nn1876
100
NovarinoG.FenstermakerA. G.ZakiM. S.HofreeM.SilhavyJ. L.HeibergA. D.et al. (2014). Exome sequencing links corticospinal motor neuron disease to common neurodegenerative disorders. Science343, 506–511. 10.1126/science.1247363
101
O'LearyD. D.KoesterS. E. (1993). Development of projection neuron types, axon pathways, and patterned connections of the mammalian cortex. Neuron10, 991–1006. 10.1016/0896-6273(93)90049-W
102
OlssonT.KristenssonK. (1979). Uptake and retrograde axonal transport of horseradish peroxidase in normal and axotomized motor neurons during postnatal development. Neuropathol. Appl. Neurobiol. 5, 377–387. 10.1111/j.1365-2990.1979.tb00636.x
103
OppenheimR. W.HeatonM. B. (1975). The retrograde transport of horseradish peroxidase from the developing limb of the chick embryo. Brain Res. 98, 291–302. 10.1016/0006-8993(75)90007-4
104
OrayS.MajewskaA.SurM. (2004). Dendritic spine dynamics are regulated by monocular deprivation and extracellular matrix degradation. Neuron44, 1021–1030. 10.1016/j.neuron.2004.12.001
105
OzdinlerP. H.BennS.YamamotoT. H.GuzelM.BrownR. H.Jr.MacklisJ. D. (2011). Corticospinal motor neurons and related subcerebral projection neurons undergo early and specific neurodegeneration in hSOD1G93A transgenic ALS mice. J. Neurosci. 31, 4166–4177. 10.1523/JNEUROSCI.4184-10.2011
106
OzdinlerP. H.MacklisJ. D. (2006). IGF-I specifically enhances axon outgrowth of corticospinal motor neurons. Nat. Neurosci. 9, 1371–1381. 10.1038/nn1789
107
PackerA. M.RoskaB.HausserM. (2013). Targeting neurons and photons for optogenetics. Nat. Neurosci. 16, 805–815. 10.1038/nn.3427
108
ParaviciniU.StoeckelK.ThoenenH. (1975). Biological importance of retrograde axonal transport of nerve growth factor in adrenergic neurons. Brain Res. 84, 279–291. 10.1016/0006-8993(75)90982-8
109
PenzesP.CahillM. E.JonesK. A.VanleeuwenJ. E.WoolfreyK. M. (2011). Dendritic spine pathology in neuropsychiatric disorders. Nat. Neurosci. 14, 285–293. 10.1038/nn.2741
110
PittetM. J.WeisslederR. (2011). Intravital imaging. Cell147, 983–991. 10.1016/j.cell.2011.11.004
111
PlacantonakisD. G.TomishimaM. J.LafailleF.DesbordesS. C.JiaF.SocciN. D.et al. (2009). BAC transgenesis in human embryonic stem cells as a novel tool to define the human neural lineage. Stem Cells27, 521–532. 10.1634/stemcells.2008-0884
112
PriceD. L.GriffinJ. W. (1977). Tetanus toxin: retrograde axonal transport of systemically administered toxin. Neurosci. Lett. 4, 61–65. 10.1016/0304-3940(77)90145-8
113
RavitsJ.PaulP.JorgC. (2007). Focality of upper and lower motor neuron degeneration at the clinical onset of ALS. Neurology68, 1571–1575. 10.1212/01.wnl.0000260965.20021.47
114
RehT.KalilK. (1981). Development of the pyramidal tract in the hamster. I. A light microscopic study. J. Comp. Neurol. 200, 55–67. 10.1002/cne.902000105
115
RichterM. W.RoskamsA. J. (2009). Corticospinal neurons respond differentially to neurotrophins and myelin-associated glycoprotein in vitro. J. Neurosci. Res. 87, 2222–2236. 10.1002/jnr.22053
116
RustioniA.HayesN. L. (1981). Corticospinal tract collaterals to the dorsal column nuclei of cats. An anatomical single and double retrograde tracer study. Exp. Brain Res. 43, 237–245. 10.1007/BF00238364
117
SchaeferA. M.SanesJ. R.LichtmanJ. W. (2005). A compensatory subpopulation of motor neurons in a mouse model of amyotrophic lateral sclerosis. J. Comp. Neurol. 490, 209–219. 10.1002/cne.20620
118
SchmidtE. F.KusL.GongS.HeintzN. (2013). BAC transgenic mice and the GENSAT database of engineered mouse strains. Cold Spring Harb. Protoc. 2013. 10.1101/pdb.top073692
119
SchwabM. E.SudaK.ThoenenH. (1979). Selective retrograde transsynaptic transfer of a protein, tetanus toxin, subsequent to its retrograde axonal transport. J. Cell Biol. 82, 798–810. 10.1083/jcb.82.3.798
120
ShanerN. C.SteinbachP. A.TsienR. Y. (2005). A guide to choosing fluorescent proteins. Nat. Methods2, 905–909. 10.1038/nmeth819
121
SheetsP. L.SuterB. A.KiritaniT.ChanC. S.SurmeierD. J.ShepherdG. M. (2011). Corticospinal-specific HCN expression in mouse motor cortex: I(h)-dependent synaptic integration as a candidate microcircuit mechanism involved in motor control. J. Neurophysiol. 106, 2216–2231. 10.1152/jn.00232.2011
122
ShepherdG. M. (2011). The microcircuit concept applied to cortical evolution: from three-layer to six-layer cortex. Front. Neuroanat. 5:30. 10.3389/fnana.2011.00030
123
ShepherdG. M. (2013). Corticostriatal connectivity and its role in disease. Nat. Rev. Neurosci. 14, 278–291. 10.1038/nrn3469
124
ShinodaY.YokotaJ.FutamiT. (1981). Divergent projection of individual corticospinal axons to motoneurons of multiple muscles in the monkey. Neurosci. Lett. 23, 7–12. 10.1016/0304-3940(81)90182-8
125
ShneiderN. A.BrownM. N.SmithC. A.PickelJ.AlvarezF. J. (2009). Gamma motor neurons express distinct genetic markers at birth and require muscle spindle-derived GDNF for postnatal survival. Neural Dev. 4, 42. 10.1186/1749-8104-4-42
126
Singh RoyN.NakanoT.XuingL.KangJ.NedergaardM.GoldmanS. A. (2005). Enhancer-specified GFP-based FACS purification of human spinal motor neurons from embryonic stem cells. Exp. Neurol. 196, 224–234. 10.1016/j.expneurol.2005.06.021
127
Smedemark-MarguliesN.TrapaniJ. G. (2013). Tools, methods, and applications for optophysiology in neuroscience. Front. Mol. Neurosci. 6:18. 10.3389/fnmol.2013.00018
128
SnyderB. R.GrayS. J.QuachE. T.HuangJ. W.LeungC. H.SamulskiR. J.et al. (2011). Comparison of adeno-associated viral vector serotypes for spinal cord and motor neuron gene delivery. Hum. Gene Ther. 22, 1129–1135. 10.1089/hum.2011.008
129
SohalG. S.HoltR. K. (1978). Identification of the trochlear motoneurons by retrograde transport of horseradish peroxidase. Exp. Neurol. 59, 509–514. 10.1016/0014-4886(78)90241-8
130
SomogyiP.HodgsonA. J.SmithA. D. (1979). An approach to tracing neuron networks in the cerebral cortex and basal ganglia. Combination of Golgi staining, retrograde transport of horseradish peroxidase and anterograde degeneration of synaptic boutons in the same material. Neuroscience4, 1805–1852. 10.1016/0306-4522(79)90059-9
131
StanfieldB. B. (1992). The development of the corticospinal projection. Prog. Neurobiol. 38, 169–202. 10.1016/0301-0082(92)90039-H
132
SteigerH. J.Buttner-EnneverJ. (1978). Relationship between motoneurons and internuclear neurons in the abducens nucleus: a double retrograde tracer study in the cat. Brain Res. 148, 181–188. 10.1016/0006-8993(78)90387-6
133
StepanenkoO. V.StepanenkoO. V.ShcherbakovaD. M.KuznetsovaI. M.TuroverovK. K.VerkhushaV. V. (2011). Modern fluorescent proteins: from chromophore formation to novel intracellular applications. Biotechniques51, 313–314, 316, 318 passim. 10.2144/000113765
134
StoeckelK.ThoenenH. (1975). Retrograde axonal transport of nerve growth factor: specificity and biological importance. Brain Res. 85, 337–341. 10.1016/0006-8993(75)90092-X
135
SuterB. A.MiglioreM.ShepherdG. M. (2012). Intrinsic electrophysiology of mouse corticospinal neurons: a class-specific triad of spike-related properties. Cereb. Cortex23, 1965–1977. 10.1093/cercor/bhs184
136
TanakaY. H.TanakaY. R.FujiyamaF.FurutaT.YanagawaY.KanekoT. (2011). Local connections of layer 5 GABAergic interneurons to corticospinal neurons. Front. Neural Circuits5:12. 10.3389/fncir.2011.00012
137
TangJ. C.SzikraT.KozorovitskiyY.TeixieraM.SabatiniB. L.RoskaB.et al. (2013). A nanobody-based system using fluorescent proteins as scaffolds for cell-specific gene manipulation. Cell154, 928–939. 10.1016/j.cell.2013.07.021
138
TaniguchiH.HeM.WuP.KimS.PaikR.SuginoK.et al. (2011). A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex. Neuron71, 995–1013. 10.1016/j.neuron.2011.07.026
139
TatomJ. B.WangD. B.DaytonR. D.SkalliO.HuttonM. L.DicksonD. W.et al. (2009). Mimicking aspects of frontotemporal lobar degeneration and Lou Gehrig's disease in rats via TDP-43 overexpression. Mol. Ther. 17, 607–613. 10.1038/mt.2009.3
140
TerashimaT. (1995). Anatomy, development and lesion-induced plasticity of rodent corticospinal tract. Neurosci. Res. 22, 139–161. 10.1016/0168-0102(95)00895-9
141
ThomsonA. M.LamyC. (2007). Functional maps of neocortical local circuitry. Front. Neurosci. 1:2. 10.3389/neuro.01.1.1.002.2007
142
TolbertD. L.BantliH.BloedelJ. R. (1978). Organizational features of the cat and monkey cerebellar nucleocortical projection. J. Comp. Neurol. 182, 39–56. 10.1002/cne.901820104
143
TowneC.SetolaV.SchneiderB. L.AebischerP. (2011). Neuroprotection by gene therapy targeting mutant SOD1 in individual pools of motor neurons does not translate into therapeutic benefit in fALS mice. Mol. Ther. 19, 274–283. 10.1038/mt.2010.260
144
TsienR. Y. (1998). The green fluorescent protein. Annu. Rev. Biochem. 67, 509–544. 10.1146/annurev.biochem.67.1.509
145
UdakaF.KameyamaM.TomonagaM. (1986). Degeneration of Betz cells in motor neuron disease. A Golgi study. Acta Neuropathol70, 289–295. 10.1007/BF00686086
146
UllanJ.ArtiedaJ. (1981). Somatotopy of the corticospinal neurons in the rat. Neurosci. Lett. 21, 13–18. 10.1016/0304-3940(81)90049-5
147
van den PolA. N.GhoshP. K. (1998). Selective neuronal expression of green fluorescent protein with cytomegalovirus promoter reveals entire neuronal arbor in transgenic mice. J. Neurosci. 18, 10640–10651.
148
van der KooyD.KuypersH. G. (1979). Fluorescent retrograde double labeling: axonal branching in the ascending raphe and nigral projections. Science204, 873–875. 10.1126/science.441742
149
WalbergF.BrodalA.HoddevikG. H. (1976). A note on the method of retrograde transport of horseradish peroxidase as a tool in studies of afferent cerebellar connections, particularly those from the inferior olive; with comments on the orthograde transport in Purkinje cell axons. Exp. Brain Res. 24, 383–401. 10.1007/BF00235005
150
WangL.MuramatsuS.LuY.IkeguchiK.FujimotoK.OkadaT.et al. (2002a). Delayed delivery of AAV-GDNF prevents nigral neurodegeneration and promotes functional recovery in a rat model of Parkinson's disease. Gene Ther. 9, 381–389. 10.1038/sj.gt.3301682
151
WangL. J.LuY. Y.MuramatsuS.IkeguchiK.FujimotoK.OkadaT.et al. (2002b). Neuroprotective effects of glial cell line-derived neurotrophic factor mediated by an adeno-associated virus vector in a transgenic animal model of amyotrophic lateral sclerosis. J. Neurosci. 22, 6920–6928.
152
WeigertR.Porat-ShliomN.AmornphimolthamP. (2013). Imaging cell biology in live animals: ready for prime time. J. Cell Biol. 201, 969–979. 10.1083/jcb.201212130
153
WeinbergM. S.SamulskiR. J.McCownT. J. (2013). Adeno-associated virus (AAV) gene therapy for neurological disease. Neuropharmacology69, 82–88. 10.1016/j.neuropharm.2012.03.004
154
WeissP. S. (2008). 2008 Nobel Prize in Chemistry: green fluorescent protein, its variants and implications. ACS Nano2, 1977. 10.1021/nn800671h
155
WichterleH.LieberamI.PorterJ. A.JessellT. M. (2002). Directed differentiation of embryonic stem cells into motor neurons. Cell110, 385–397. 10.1016/S0092-8674(02)00835-8
156
WiseS. P.JonesE. G. (1976). The organization and postnatal development of the commissural projection of the rat somatic sensory cortex. J. Comp. Neurol. 168, 313–343. 10.1002/cne.901680302
157
WongF.FanL.WellsS.HartleyR.MackenzieF. E.OyebodeO.et al. (2009). Axonal and neuromuscular synaptic phenotypes in Wld(S), SOD1(G93A) and ostes mutant mice identified by fiber-optic confocal microendoscopy. Mol. Cell. Neurosci. 42, 296–307. 10.1016/j.mcn.2009.08.002
158
WuC. Y.WhyeD.MasonR. W.WangW. (2012). Efficient differentiation of mouse embryonic stem cells into motor neurons. J. Vis. Exp. e3813. 10.3791/3813
159
YamashitaT.ChaiH. L.TeramotoS.TsujiS.ShimazakiK.MuramatsuS.et al. (2013). Rescue of amyotrophic lateral sclerosis phenotype in a mouse model by intravenous AAV9-ADAR2 delivery to motor neurons. EMBO Mol. Med. 5, 1710–1719. 10.1002/emmm.201302935
160
YasvoinaM. V.GençB.JaraJ. H.SheetsP. L.QuinlanK. A.MilosevicA.et al. (2013). eGFP expression under UCHL1 promoter genetically labels corticospinal motor neurons and a subpopulation of degeneration-resistant spinal motor neurons in an ALS mouse model. J. Neurosci. 33, 7890–7904. 10.1523/JNEUROSCI.2787-12.2013
161
YorkeC. H.Jr.CavinessV. S.Jr. (1975). Interhemispheric neocortical connections of the corpus callosum in the normal mouse: a study based on anterograde and retrograde methods. J. Comp. Neurol. 164, 233–245. 10.1002/cne.901640206
162
YuJ.AndersonC. T.KiritaniT.SheetsP. L.WokosinD. L.WoodL.et al. (2008). Local-circuit phenotypes of layer 5 neurons in motor-frontal cortex of YFP-H mice. Front. Neural Circuits2:6. 10.3389/neuro.04.006.2008
Summary
Keywords
corticospinal motor neuron, genetic labeling, retrograde labeling, motor neuron disease, upper motor neurons
Citation
Jara JH, Genç B, Klessner JL and Özdinler PH (2014) Retrograde labeling, transduction, and genetic targeting allow cellular analysis of corticospinal motor neurons: implications in health and disease. Front. Neuroanat. 8:16. doi: 10.3389/fnana.2014.00016
Received
30 November 2013
Accepted
10 March 2014
Published
26 March 2014
Volume
8 - 2014
Edited by
Laurent Gautron, University of Texas Southwestern Medical Center, USA
Reviewed by
Arshad M. Khan, University of Texas at El Paso, USA; Veronica Tom, Drexel University College of Medicine, USA
Copyright
© 2014 Jara, Genç, Klessner and Özdinler.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: P. Hande Özdinler, Cognitive Neurology and Alzheimer's Disease Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA e-mail: ozdinler@northwestern.edu
†These authors have contributed equally to this work.
This article was submitted to the journal Frontiers in Neuroanatomy.
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