Behavioral screening of conserved RNA-binding proteins reveals CEY-1/YBX RNA-binding protein dysfunction leads to impairments in memory and cognition
Hayden, A. N.; Brandel, K. L.; Merlau, P. R.; Vijayakumar, P.; Leptich, E. J.; Pietryk, E. W.; Gaytan, E. S.; Ni, C. W.; Chao, H.-T.; Rosenfeld, J. A.; Arey, R. N.
Show abstract
RNA-binding proteins (RBPs) regulate translation and plasticity which are required for memory. RBP dysfunction has been linked to a range of neurological disorders where cognitive impairments are a key symptom. However, of the 2,000 RBPs in the human genome, many are uncharacterized with regards to neurological phenotypes. To address this, we used the model organism C. elegans to assess the role of 20 conserved RBPs in memory. We identified eight previously uncharacterized memory regulators, three of which are in the C. elegans Y-Box (CEY) RBP family. Of these, we determined that cey-1 is the closest ortholog to the mammalian Y-Box (YBX) RBPs. We found that CEY-1 is both necessary in the nervous system for memory ability and sufficient to increase memory. Leveraging human datasets, we found both copy number variation losses and single nucleotide variants in YBX1 and YBX3 in individuals with neurological symptoms. We identified one predicted deleterious YBX3 variant of unknown significance, p.Asn127Tyr, in two individuals with neurological symptoms. Introducing this variant into endogenous cey-1 locus caused memory deficits in the worm. We further generated two humanized worm lines expressing human YBX3 or YBX1 at the cey-1 locus to test evolutionary conservation of YBXs in memory and the potential functional significance of the p.Asn127Tyr variant. Both YBX1/3 can functionally replace cey-1, and introduction of p.Asn127Tyr into the humanized YBX3 locus caused memory deficits. Our study highlights the worm as a model to reveal memory regulators and identifies YBX dysfunction as a potential new source of rare neurological disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=66 SRC="FIGDIR/small/574402v2_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@c1e04forg.highwire.dtl.DTLVardef@6d82b9org.highwire.dtl.DTLVardef@1a15571org.highwire.dtl.DTLVardef@f0ad20_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The nuclear ubiquitin ligase adaptor SPOP is a conserved regulator of C9orf72 dipeptide toxicity 97%
- Diencephalic and Neuropeptidergic Dysfunction in Zebrafish with Autism Risk Mutations 96%
- Analysis Of Chd-7 Defective Dauer Nematodes Implicates Collagen Misregulation In Charge Syndrome Features. 96%
Similar papers in this journal
- A Spatiotemporal Reconstruction of the C. elegans Pharyngeal Cuticle Reveals a Structure Rich in Phase-Separating Proteins 96%
- A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the Drosophila Ventral Nerve Cord. 96%
- Ataxin-7 and non-stop coordinate SCAR protein levels, subcellular localization, and actin cytoskeleton organization 95%
Similar papers in this journal
- Functional assessment of the "two-hit" model for neurodevelopmental defects in Drosophila and X. laevis 96%
- Box C/D Small Nucleolar Ribonucleoproteins Regulate Mitochondrial Surveillance and Innate Immunity 96%
- Single cell RNA-sequencing reveals no evidence for meiotic sex chromosome inactivation in the threespine stickleback fish 95%
Similar papers in this journal
Similar papers in this journal
- Interaction between a J-domain co-chaperone and a specific Argonaute protein contributes to microRNA function in animals 96%
- Functional characterization of RebL1 highlights the evolutionary conservation of oncogenic activities of the RBBP4/7 orthologue in Tetrahymena thermophila 95%
- Ribosomal quality control factors inhibit repeat-associated non-AUG translation from GC-rich repeats 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.