Biology subjects

Nettles, D.

Publications and source records attributed to Nettles, D..

4 recordsLinked to original sources

bioRxiv2026

Characterization of Electrophysiological and Transcriptomic Alterations in Patient-Derived Neurons from CHAMP1 Syndrome

Mutations in chromosome alignment maintaining phosphoprotein 1 (CHAMP1) have been linked to neurodevelopmental disorders characterized by intellectual disability, developmental delay, and autism spectrum disorder. However, the cellular and electrophysiological mechanisms by which CHAMP1 mutations disrupt human neuronal development remain poorly understood. In the present study, we used patient-derived induced pluripotent stem cells (iPSCs) carrying two pathogenic CHAMP1 mutations and generated neural progenitor cells (NPCs) and excitatory neurons to investigate the effects of each mutation on neuronal maturation and function, DNA repair, and gene expression. Proliferative capacity declines with CHAMP1 dosage, while DNA repair dysfunction is allele-specific. Whole-cell patch-clamp electrophysiology revealed that CHAMP1 mutant neurons exhibit significant alterations in intrinsic membrane properties during early developmental stages, including depolarized resting membrane potential, reduced action potential firing, and impaired waveform kinetics. These functional deficits were accompanied by reduced sodium and potassium current densities, suggesting impaired ion channel accumulation during neuronal maturation. Furthermore, recordings of spontaneous excitatory postsynaptic currents indicated altered synaptic activity and reduced proportions of synaptically active neurons. Morphological analyses showed that CHAMP1-deficient neurons exhibit impaired neurite outgrowth and branching, supporting a defect in neuronal maturation. Single-nucleus transcriptomic profiling further revealed delayed developmental trajectories and mutation-specific dysregulation of synaptic gene programs enriched for autism, ADHD, and epilepsy risk genes. Together, these findings demonstrate that CHAMP1 mutations disrupt multiple aspects of neuronal development, including homologous recombination (HR) dysfunction in NPCs, membrane excitability, ion channel function, and synaptic connectivity. Our results provide insights into the neurobiological consequences of CHAMP1 mutations and establish patient-derived neurons as a platform to investigate cellular pathophysiology and potential therapeutic strategies for CHAMP1-associated neurodevelopmental disorders.

neuroscience↗

bioRxiv2025

Myelin Supports Cortical Circuit Function Underlying Skilled Movement

Primary motor cortex (M1) is among the most heavily myelinated cortical regions and generates tightly coordinated neuronal activity patterns that drive skilled movement. Activity-dependent myelination is required for motor skill acquisition, and myelin loss in demyelinating diseases such as multiple sclerosis leads to motor impairment. Yet how myelination influences neuronal activity underlying skilled behavior remains unclear. By combining in vivo imaging of oligodendrocytes with high density Neuropixels recordings during dexterous reaching, we demonstrate that cuprizone-induced demyelination impairs movement efficiency, and alters cell-type-specific neuronal activity and synchrony in a manner that predicts motor output. Using a computational model constrained by these data, we identify inhibitory axonal propagation failures as a mechanistic link between myelin loss and altered circuit function. Partial remyelination normalizes cortical network-level metrics and reach consistency but leaves smooth movement impaired, revealing a selective vulnerability in inhibitory circuits. These findings close a critical gap between cellular models of demyelination and clinical motor impairment by demonstrating how myelin supports cortical circuit dynamics driving skilled behavior.

neuroscience↗

bioRxiv2021

Closed-loop automated reaching apparatus (CLARA) for interrogating motor systems

Objective: Personalized neurostimulation is a rapidly expanding category of therapeutics for a broad range of indications. Development of these innovative neurological devices requires high-throughput systems for closed-loop stimulation of model organisms, while monitoring physiological signals and complex, naturalistic behaviors. To address this need, we developed CLARA, a closed-loop automated reaching apparatus. Approach: Using breakthroughs in computer vision, CLARA integrates fully-automated, markerless kinematic tracking of multiple features we use to classify animal behavior and precisely deliver neural stimulation based on behavioral outcomes. CLARA is compatible with advanced neurophysiological tools, enabling the testing of neurostimulation devices and identification of novel neurological biomarkers. Results: The CLARA system tracks unconstrained skilled reach behavior in 3D at 150hz without physical markers. The system fully automates trial initiation and pellet delivery and is capable of accurately delivering stimulation in response to trial outcome with sub-quarter second latency. Mice perform the skilled reach task in the CLARA system at a proficiency similar to manually trained animals. Kinematic data from the CLARA system provided novel insights into the dynamics of reach consistency over the course of learning, suggesting that changes are driven entirely by unsuccessful reach accuracy. Additionally, using the closed-loop capabilities of CLARA, we demonstrate that vagus nerve stimulation (VNS) delivered on reach success improves skilled reach performance and increases reach trajectory consistency in healthy animals. Significance: The CLARA system is the first mouse behavior apparatus that uses markerless pose tracking to provide real-time closed-loop stimulation in response to the outcome of an unconstrained motor task. Additionally, we demonstrate that the CLARA system was essential for our finding that VNS given after successful completion of a motor task improves performance in healthy animals. This approach has high translational relevance for developing neurostimulation technology based on complex human behavior.

neuroscience↗

bioRxiv2020

Motor Learning Promotes Remyelination via New and Surviving Oligodendrocytes

Oligodendrocyte loss in neurological disease leaves axons vulnerable to damage and degeneration, and activity-dependent myelination may represent an endogenous mechanism to improve remyelination following injury. Here, we report that while learning a forelimb reach task transiently suppresses oligodendrogenesis, it subsequently increases OPC differentiation, oligodendrocyte generation, and retraction of pre-existing myelin sheaths in the forelimb region of motor cortex. Immediately following demyelination, motor cortex neurons exhibit hyperexcitability, motor learning is impaired, and behavioral intervention provides no long-term benefit to remyelination. However, partial remyelination restores neuronal and behavioral function. Motor learning following partial remyelination increases oligodendrogenesis and enhances the ability of mature oligodendrocytes to generate new myelin sheaths, resulting in almost double the remyelination of denuded axons relative to untrained controls. Together, our findings demonstrate that the correct timing of behaviorally-induced neuronal circuit activation improves recovery from demyelinating injury via enhanced remyelination from new and surviving oligodendrocytes.

neuroscience↗