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Medullary motoneurons drive vocalization in many vertebrate lineages including fish, amphibians, birds, and mammals. The developmental history of vocal motoneuron populations in each of these lineages remains largely unknown. The highly conserved transcription factor Paired-like Homeobox 2b (Phox2b) is presumed to be expressed in all vertebrate hindbrain branchial motoneurons, including laryngeal motoneurons essential for vocalization in humans. We used immunohistochemistry and in situ hybridization to examine Phox2b protein and mRNA expression in caudal hindbrain and rostral spinal cord motoneuron populations in seven species across five chordate classes. Phox2b was present in motoneurons dedicated to sound production in mice and frogs (bullfrog, African clawed frog), but not those in bird (zebra finch) or bony fish (midshipman, channel catfish). Overall, the pattern of caudal medullary motoneuron Phox2b expression was conserved across vertebrates and similar to expression in sea lamprey. These observations suggest that motoneurons dedicated to sound production in vertebrates are not derived from a single developmentally or evolutionarily conserved progenitor pool.
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http://dx.doi.org/10.1016/j.resp.2015.06.010 | DOI Listing |
Cell Rep
September 2025
Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; The Phil & Penny Knight In
The dorsal striatum plays a critical role in action selection, movement, and sensorimotor learning. While action-specific striatal ensembles have been described, the mechanisms underlying their formation and evolution during motor learning remain poorly understood. Here, we employed longitudinal two-photon Ca imaging of dorsal striatal neurons in head-fixed mice as they learned to self-initiate locomotion.
View Article and Find Full Text PDFJ Neurosci
September 2025
Northwestern University, Feinberg School of Medicine, Department of Cell and Developmental Biology Chicago, IL 60611-3008
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease characterized by mislocalization and aggregation of proteins in motor neurons. Ataxin-2 (ATXN2), an RNA-binding protein harboring 22-polyglutamine (polyQ) repeats, is a risk factor for ALS, when its polyQ repeats are expanded to 27-33 repeats. However, the physiological function of ATXN2 beyond its role in RNA regulation, and how polyQ expansion in ATXN2 increases risk for ALS, remain unclear.
View Article and Find Full Text PDFNeurobiol Dis
September 2025
Inserm UMR-S 1270, Paris 75005, France; Sorbonne Université, Faculty of Sciences and Engineering, Paris 75005, France; Institut du Fer à Moulin, 17 rue du Fer à Moulin, Paris 75005, France; Sorbonne Université, Institut du Cerveau, Inserm, CNRS, AP-HP, Institut de Neurologie, Hôpital de la Salp
Isolated dystonia can be caused by loss-of-function mutations in the GNAL gene (DYT-GNAL/DYT25). This gene encodes the α subunit of the heterotrimeric G protein, which, with βγ subunits, mediates the stimulatory coupling of dopamine D1 and adenosine A2A receptors to adenylyl-cyclase. These receptors are expressed in distinct striatal projection neurons (SPNs) with complementary functions in motor behavior.
View Article and Find Full Text PDFCNS Drugs
September 2025
Department of Neurology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109-5223, USA.
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder affecting both upper and lower motor neurons. ALS is classically characterized by painless progressive weakness, causing impaired function of limbs, speech, swallowing, and respiratory function. The disease is fatal within 2-4 years, often the result of respiratory failure.
View Article and Find Full Text PDFFront Neurosci
August 2025
Department of Neuroscience, Brown University, Providence, RI, United States.
The expansion of large-scale neural recording capabilities has provided new opportunities to examine multi-scale cortical network activity at single neuron resolution. At the same time, the growing scale and complexity of these datasets introduce new conceptual and technical challenges beyond what can be addressed using traditional analysis techniques. Here, we present the Similarity Networks (SIMNETS) analysis framework: an efficient and scalable pipeline designed to embed simultaneously recorded neurons into low dimensional maps according to the intrinsic relationship between their spike trains, making it possible to identify and visualize groups of neurons performing similar computations.
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