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      Retrovirus-like Gag Protein Arc1 Binds RNA and Traffics across Synaptic Boutons

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      Cell
      Elsevier BV

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          Abstract

          <p id="P1"> <i>Arc/Arg3.1</i> is required for synaptic plasticity and cognition and mutations in this gene are linked to autism and schizophrenia. Arc bears a domain resembling retroviral/retrotransposon Gag-like proteins, which multimerize into a capsid that packages viral RNA. The significance of such a domain in a plasticity molecule is uncertain. Here we report that the <i>Drosophila</i> Arc1 protein forms capsid-like structures that bind <i>darc1</i> mRNA in neurons and is loaded into extracellular vesicles that are transferred from motorneurons to muscles. This loading and transfer depends on the <i>darc1-mRNA</i> 3′-untranslated region, which contains retrotransposon-like sequences. Disrupting transfer blocks synaptic plasticity, suggesting that transfer of dArc1 complexed with its mRNA is required for this function. Notably, cultured cells also release extracellular vesicles containing the Gag region of the Copia retrotransposon complexed with its own mRNA. Taken together, our results point to a trans-synaptic mRNA transport mechanism involving retrovirus-like capsids and extracellular vesicles. </p><p id="P2"> <div class="list"> <a class="named-anchor" id="L1"> <!-- named anchor --> </a> <ul class="so-custom-list"> <li id="d1095265e172"> <div class="so-custom-list-content so-ol"> <p class="first" id="P3">Retrovirus-like Gag protein Arc1 binds RNA and traffics across synaptic boutons</p> </div> </li> </ul> </div> </p><p id="P4"> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/93b09c83-0973-4afe-83e3-6a68e065b02b/PubMedCentral/image/nihms932799u1.jpg"/> </div> </p>

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          Author and article information

          Journal
          Cell
          Cell
          Elsevier BV
          00928674
          January 2018
          January 2018
          : 172
          : 1-2
          : 262-274.e11
          Article
          10.1016/j.cell.2017.12.022
          5793882
          29328915
          6780f58a-6821-4868-ad3a-a351673489ee
          © 2018

          http://www.elsevier.com/tdm/userlicense/1.0/

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