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A Novel Mistranslating Trna Model In Drosophila Melanogaster Has Diverse, Sexually Dimorphic Effects, Joshua R. Isaacson, Matthew D. Berg, Brendan Charles, Jessica Jagiello, Judit Villén, Christopher J. Brandl, Amanda J. Moehring
A Novel Mistranslating Trna Model In Drosophila Melanogaster Has Diverse, Sexually Dimorphic Effects, Joshua R. Isaacson, Matthew D. Berg, Brendan Charles, Jessica Jagiello, Judit Villén, Christopher J. Brandl, Amanda J. Moehring
Neuroscience Institute Publications
Transfer RNAs (tRNAs) are the adaptor molecules required for reading the genetic code and producing proteins. Transfer RNA variants can lead to genome-wide mistranslation, the misincorporation of amino acids not specified by the standard genetic code into nascent proteins. While genome sequencing has identified putative mistranslating transfer RNA variants in human populations, little is known regarding how mistranslation affects multicellular organisms. Here, we create a multicellular model of mistranslation by integrating a serine transfer RNA variant that mistranslates serine for proline (tRNAUGG,G26ASer) into the Drosophila melanogaster genome. We confirm mistranslation via mass spectrometry and find that tRNAUGG,G26ASer misincorporates serine for …
Mother-Child Similarity In Brain Morphology: A Comparison Of Structural Characteristics Of The Brain's Reading Network, Lynn V. Fehlbaum, Lien Peters, Plamina Dimanova, Margot Roell, Réka Borbás, Daniel Ansari, Nora M. Raschle
Mother-Child Similarity In Brain Morphology: A Comparison Of Structural Characteristics Of The Brain's Reading Network, Lynn V. Fehlbaum, Lien Peters, Plamina Dimanova, Margot Roell, Réka Borbás, Daniel Ansari, Nora M. Raschle
Paediatrics Publications
Background: Substantial evidence acknowledges the complex gene-environment interplay impacting brain development and learning. Intergenerational neuroimaging allows the assessment of familial transfer effects on brain structure, function and behavior by investigating neural similarity in caregiver-child dyads. Methods: Neural similarity in the human reading network was assessed through well-used measures of brain structure (i.e., surface area (SA), gyrification (lG), sulcal morphology, gray matter volume (GMV) and cortical thickness (CT)) in 69 mother-child dyads (children's age~11 y). Regions of interest for the reading network included left-hemispheric inferior frontal gyrus, inferior parietal lobe and fusiform gyrus. Mother-child similarity was quantified by correlation coefficients and …