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EGFP insertional mutagenesis reveals multiple FXR2P fibrillar states with differing ribosome association in neurons
Journal article   Open access   Peer reviewed

EGFP insertional mutagenesis reveals multiple FXR2P fibrillar states with differing ribosome association in neurons

Emily E. Stackpole, Michael R. Akins, Maria Ivshina, Anastasia C. Murthy, Nicolas L. Fawzi and Justin R. Fallon
Biology open, v 8(8)
15 Aug 2019
PMID: 31434643
url
https://doi.org/10.1242/bio.046383View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Fragile X syndrome Local protein synthesis Low complexity RNA granule RNA-binding protein
RNA-binding proteins (RBPs) function in higher-order assemblages such as RNA granules to regulate RNA localization and translation. The Fragile X homolog FXR2P is an RBP essential for formation of neuronal Fragile X granules that associate with axonal mRNA and ribosomes in the intact brain. However, the FXR2P domains important for assemblage formation in a cellular system are unknown. Here we used an EGFP insertional mutagenesis approach to probe for FXR2P intrinsic features that influence its structural states. We tested 18 different in-frame FXR2P EGFP fusions in neurons and found that the majority did not impact assemblage formation. However, EGFP insertion within a 23 amino acid region of the low complexity (LC) domain induced FXR2P EGFP assembly into two distinct fibril states that were observed in isolation or in highly-ordered bundles. FXR2P EGFP fibrils exhibited different developmental timelines, ultrastructures and ribosome associations. Formation of both fibril types was dependent on an intact RNA-binding domain. These results suggest that restricted regions of the LC domain, together with the RNA-binding domain, may be important for FXR2P structural state organization in neurons. Summary: A mutagenesis study reveals that the higher-order structural states of the RBP FXR2P in neurons can be regulated by manipulation of the LC and RNA-binding domains.

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Collaboration types
Domestic collaboration
Web of Science research areas
Biology
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