Publications by authors named "Anthony Azevedo"

Article Synopsis
  • Animal movement is directed by motor neurons that connect the central nervous system to muscles, with complex premotor networks coordinating these movements for various behaviors.
  • Researchers analyzed the wiring of premotor circuits in Drosophila flies to understand how motor networks control leg and wing movements.
  • They discovered that leg motor modules have a hierarchical structure based on the size of motor neurons, while wing circuits are more flexible in their connectivity, highlighting differences in motor control for distinct body parts.
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Article Synopsis
  • This study focuses on understanding how neural circuits in the brain manage behavior by analyzing the Drosophila melanogaster (fruit fly) ventral nerve cord, which mirrors the spinal cord in vertebrates.
  • Researchers mapped approximately 45 million synapses and 14,600 neuron cell bodies within the fruit fly's nerve cord to comprehend its neural connections.
  • They created a motor neuron atlas that identifies which muscles are targeted by motor neurons, aiding in the understanding of leg and wing movement coordination, especially during take-off.
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Animal movement is controlled by motor neurons (MNs), which project out of the central nervous system to activate muscles. MN activity is coordinated by complex premotor networks that allow individual muscles to contribute to many different behaviors. Here, we use connectomics to analyze the wiring logic of premotor circuits controlling the leg and wing.

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To investigate circuit mechanisms underlying locomotor behavior, we used serial-section electron microscopy (EM) to acquire a synapse-resolution dataset containing the ventral nerve cord (VNC) of an adult female Drosophila melanogaster. To generate this dataset, we developed GridTape, a technology that combines automated serial-section collection with automated high-throughput transmission EM. Using this dataset, we studied neuronal networks that control leg and wing movements by reconstructing all 507 motor neurons that control the limbs.

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Article Synopsis
  • X-ray holographic nano-tomography (XNH) offers a new technique for imaging large volumes of neuronal networks at sub-100-nm resolution, addressing limitations of traditional light and electron microscopy.
  • This method enables detailed reconstruction of neuronal structures in both Drosophila and mouse nervous tissue, revealing important insights about synaptic inhibition in cortical cells.
  • By integrating XNH with machine learning techniques for automatic neuron segmentation, researchers can facilitate the analysis of complex neural circuits, paving the way for advancements in neuroscience.
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To move the body, the brain must precisely coordinate patterns of activity among diverse populations of motor neurons. Here, we use in vivo calcium imaging, electrophysiology, and behavior to understand how genetically-identified motor neurons control flexion of the fruit fly tibia. We find that leg motor neurons exhibit a coordinated gradient of anatomical, physiological, and functional properties.

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Stimulus- or context-dependent routing of neural signals through parallel pathways can permit flexible processing of diverse inputs. For example, work in mouse shows that rod photoreceptor signals are routed through several retinal pathways, each specialized for different light levels. This light-level-dependent routing of rod signals has been invoked to explain several human perceptual results, but it has not been tested in primate retina.

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To better understand biophysical mechanisms of mechanosensory processing, we investigated two cell types in the Drosophila brain (A2 and B1 cells) that are postsynaptic to antennal vibration receptors. A2 cells receive excitatory synaptic currents in response to both directions of movement: thus, twice per vibration cycle. The membrane acts as a low-pass filter, so that voltage and spiking mainly track the vibration envelope rather than individual cycles.

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Rod photoreceptors generate measurable responses to single-photon activation of individual molecules of the G protein-coupled receptor (GPCR), rhodopsin. Timely rhodopsin desensitization depends on phosphorylation and arrestin binding, which quenches G protein activation. Rhodopsin phosphorylation has been measured biochemically at C-terminal serine residues, suggesting that these residues are critical for producing fast, low-noise responses.

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Vision in dim light, when photons are scarce, requires reliable signaling of the arrival of single photons. Rod photoreceptors accomplish this task through the use of a G-protein-coupled transduction cascade that amplifies the activity of single active rhodopsin molecules. This process is one of the best understood signaling cascades in biology, yet quantitative measurements of the amplitude and kinetics of the rod's response in mice vary by a factor of ∼ 2 across studies.

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Reliable signal transduction via G-protein-coupled receptors requires proper receptor inactivation. For example, signals originating from single rhodopsin molecules vary little from one to the next, requiring reproducible inactivation of rhodopsin by phosphorylation and arrestin binding. We determined how reduced concentrations of rhodopsin kinase (GRK1) and/or arrestin1 influenced the kinetics and variability of the single-photon responses of mouse rod photoreceptors.

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