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Wen-Biao Gan

Researcher at New York University

Publications -  115
Citations -  20048

Wen-Biao Gan is an academic researcher from New York University. The author has contributed to research in topics: Dendritic spine & Cortex (anatomy). The author has an hindex of 47, co-authored 108 publications receiving 17083 citations. Previous affiliations of Wen-Biao Gan include Beihang University & Washington University in St. Louis.

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ATP mediates rapid microglial response to local brain injury in vivo

TL;DR: Extracellular ATP regulates microglial branch dynamics in the intact brain, and its release from the damaged tissue and surrounding astrocytes mediates a rapid microglia response towards injury.
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Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor

TL;DR: It is found that microglia could be specifically depleted from the brain upon diphtheria toxin administration and removal of brain-derived neurotrophic factor (BDNF) frommicroglia largely recapitulated the effects of microglian depletion.
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The P2Y12 receptor regulates microglial activation by extracellular nucleotides

TL;DR: It is shown that microglia from mice lacking Gi-coupled P2Y12 receptors exhibit normal baseline motility but are unable to polarize, migrate or extend processes toward nucleotides in vitro or in vivo, implying that P2 Y12 is a primary site at which nucleotide act to induce microglial chemotaxis at early stages of the response to local CNS injury.
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Long-term dendritic spine stability in the adult cortex

TL;DR: It is shown that filopodia-like dendritic protrusions, extending and retracting over hours, are abundant in young animals but virtually absent from the adult, providing a potential structural basis for long-term information storage.
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Stably maintained dendritic spines are associated with lifelong memories

TL;DR: It is shown that learning and daily sensory experience leave minute but permanent marks on cortical connections and suggest that lifelong memories are stored in largely stably connected synaptic networks.