26 research outputs found

    NeuroD2 regulates the development of hippocampal mossy fiber synapses

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    <p>Abstract</p> <p>Background</p> <p>The assembly of neural circuits requires the concerted action of both genetically determined and activity-dependent mechanisms. Calcium-regulated transcription may link these processes, but the influence of specific transcription factors on the differentiation of synapse-specific properties is poorly understood. Here we characterize the influence of NeuroD2, a calcium-dependent transcription factor, in regulating the structural and functional maturation of the hippocampal mossy fiber (MF) synapse.</p> <p>Results</p> <p>Using NeuroD2 null mice and <it>in vivo </it>lentivirus-mediated gene knockdown, we demonstrate a critical role for NeuroD2 in the formation of CA3 dendritic spines receiving MF inputs. We also use electrophysiological recordings from CA3 neurons while stimulating MF axons to show that NeuroD2 regulates the differentiation of functional properties at the MF synapse. Finally, we find that NeuroD2 regulates PSD95 expression in hippocampal neurons and that PSD95 loss of function <it>in vivo </it>reproduces CA3 neuron spine defects observed in NeuroD2 null mice.</p> <p>Conclusion</p> <p>These experiments identify NeuroD2 as a key transcription factor that regulates the structural and functional differentiation of MF synapses <it>in vivo</it>.</p

    Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models

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    Cytotoxic chemotherapy is an effective treatment for invasive breast cancer. However, experimental studies in mice also suggest that chemotherapy has pro-metastatic effects. Primary tumours release extracellular vesicles (EVs), including exosomes, that can facilitate the seeding and growth of metastatic cancer cells in distant organs, but the effects of chemotherapy on tumour-derived EVs remain unclear. Here we show that two classes of cytotoxic drugs broadly employed in pre-operative (neoadjuvant) breast cancer therapy, taxanes and anthracyclines, elicit tumour-derived EVs with enhanced pro-metastatic capacity. Chemotherapy-elicited EVs are enriched in annexin A6 (ANXA6), a Ca2+-dependent protein that promotes NF-κB-dependent endothelial cell activation, Ccl2 induction and Ly6C+CCR2+ monocyte expansion in the pulmonary pre-metastatic niche to facilitate the establishment of lung metastasis. Genetic inactivation of Anxa6 in cancer cells or Ccr2 in host cells blunts the prometastatic effects of chemotherapy-elicited EVs. ANXA6 is detected, and potentially enriched, in the circulating EVs of breast cancer patients undergoing neoadjuvant chemotherapy

    NGL-2 Regulates Input-Specific Synapse Development in CA1 Pyramidal Neurons

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    SUMMARY An important organizing feature of the CNS is that individual neurons receive input from many different sources. Independent regulation of synaptic input is critical for the function and adaptive responses of the nervous system, but the underlying molecular mechanisms are not well understood. We identify the leucine-rich repeat (LRR)-containing protein NGL-2 (Lrrc4) as a key regulator of input-specific synapse development in the hippocampus. Using genetic deletion and shRNA-mediated knockdown, we demonstrate a role for NGL-2 in regulating the strength of synaptic transmission and spine density specifically at Schaffer collateral synapses in the stratum radiatum (SR) in CA1. NGL-2 protein is restricted to SR and spine regulation requires NGL- 2’s LRR and PDZ-binding domains. Finally, loss of NGL-2 disrupts cooperative interactions between distal and proximal synapses in CA1 pyramidal cells. These results demonstrate that NGL-2 is critical for pathway-specific synapse development and functional integration of distinct inputs.status: publishe

    NGL-2 Regulates Input-Specific Synapse Development in CA1 Pyramidal Neurons

    Get PDF
    SummaryAn important organizing feature of the CNS is that individual neurons receive input from many different sources. Independent regulation of synaptic input is critical for the function and adaptive responses of the nervous system, but the underlying molecular mechanisms are not well understood. We identify the leucine-rich repeat (LRR)-containing protein NGL-2 (Lrrc4) as a key regulator of input-specific synapse development in the hippocampus. Using genetic deletion and shRNA-mediated knockdown, we demonstrate a role for NGL-2 in regulating the strength of synaptic transmission and spine density specifically at Schaffer collateral synapses in the stratum radiatum (SR) in CA1. NGL-2 protein is restricted to SR and spine regulation requires NGL-2's LRR and PDZ-binding domains. Finally, loss of NGL-2 disrupts cooperative interactions between distal and proximal synapses in CA1 pyramidal cells. These results demonstrate that NGL-2 is critical for pathway-specific synapse development and functional integration of distinct inputs

    Hypothalamic neurons that mirror aggression

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    Social interactions require awareness and understanding of the behavior of others. Mirror neurons, cells representing an action by self and others, have been proposed to be integral to the cognitive substrates that enable such awareness and understanding. Mirror neurons of the primate neocortex represent skilled motor tasks, but it is unclear if they are critical for the actions they embody, enable social behaviors, or exist in non-cortical regions. We demonstrate that the activity of individual VMHvlPR neurons in the mouse hypothalamus represents aggression performed by self and others. We used a genetically encoded mirror-TRAP strategy to functionally interrogate these aggression-mirroring neurons. We find that their activity is essential for fighting and that forced activation of these cells triggers aggressive displays by mice, even toward their mirror image. Together, we have discovered a mirroring center in an evolutionarily ancient region that provides a subcortical cognitive substrate essential for a social behavior

    BehaviorDEPOT is a simple, flexible tool for automated behavioral detection based on markerless pose tracking

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    Quantitative descriptions of animal behavior are essential to study the neural substrates of cognitive and emotional processes. Analyses of naturalistic behaviors are often performed by hand or with expensive, inflexible commercial software. Recently, machine learning methods for markerless pose estimation enabled automated tracking of freely moving animals, including in labs with limited coding expertise. However, classifying specific behaviors based on pose data requires additional computational analyses and remains a significant challenge for many groups. We developed BehaviorDEPOT (DEcoding behavior based on POsitional Tracking), a simple, flexible software program that can detect behavior from video timeseries and can analyze the results of experimental assays. BehaviorDEPOT calculates kinematic and postural statistics from keypoint tracking data and creates heuristics that reliably detect behaviors. It requires no programming experience and is applicable to a wide range of behaviors and experimental designs. We provide several hard-coded heuristics. Our freezing detection heuristic achieves above 90% accuracy in videos of mice and rats, including those wearing tethered head-mounts. BehaviorDEPOT also helps researchers develop their own heuristics and incorporate them into the software's graphical interface. Behavioral data is stored framewise for easy alignment with neural data. We demonstrate the immediate utility and flexibility of BehaviorDEPOT using popular assays including fear conditioning, decision-making in a T-maze, open field, elevated plus maze, and novel object exploration
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