Gene knock-ins in Drosophila using homology-independent insertion of universal donor plasmids, bioRxiv, 2019-05-16

AbstractSite-specific insertion of DNA into endogenous genes (knock-in) is a powerful method to study gene function. However, traditional methods for knock-in require laborious cloning of long homology arms for homology-directed repair. Here, we report a simplified method in Drosophila melanogaster to insert large DNA elements into any gene using homology-independent repair. This method, known as CRISPaint, employs CRISPR-Cas9 and non-homologous end joining (NHEJ) to linearize and insert donor plasmid DNA into a target genomic cut site. The inclusion of commonly used elements such as GFP on donor plasmids makes them universal, abolishing the need to create gene-specific homology arms and greatly reducing user workload. Using this method, we show robust gene-specific integration of donor plasmids in cultured cells and the fly germ line. Furthermore, we use this method to analyze gene function by fluorescently tagging endogenous proteins, disrupting gene function, and generating reporters of gene expression. Finally, we assemble a collection of donor plasmids for germ line knock-in that contain commonly used insert sequences. This method simplifies the generation of site-specific large DNA insertions in Drosophila cell lines and fly strains, and better enables researchers to dissect gene function in vivo.SummaryWe report a new homology-independent genomic knock-in method in Drosophila to insert large DNA elements into any target gene. Using CRISPR-Cas9 and non-homologous end joining (NHEJ), an entire donor plasmid is inserted into the genome without the need for homology arms. This approach eliminates the burden associated with designing and constructing traditional donor plasmids. We demonstrate its usefulness in cultured cells and in vivo to fluorescently tag endogenous proteins, generate reporters of gene expression, and disrupt gene function.

biorxiv genetics 0-100-users 2019

Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology, bioRxiv, 2019-05-16

AbstractBackgroundThere is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most transdiagnostic studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes and personality traits. Furthermore, many psychiatric studies focus on higher-order association brain networks, thus neglecting the potential influence of huge swaths of the brain.MethodsA multivariate data-driven approach (partial least squares; PLS) was utilized to identify latent components linking a large set of clinical, cognitive and personality measures to whole-brain resting-state functional connectivity (RSFC) patterns across 224 participants. The participants were either healthy (N=110) or diagnosed with bipolar disorder (N=40), attention-deficithyperactivity disorder (N=37), schizophrenia (N=29) or schizoaffective disorder (N=8). In contrast to traditional case-control analyses, the diagnostic categories were not utilized in the PLS analysis, but were helpful for interpreting the components.ResultsOur analyses revealed three latent components corresponding to general psychopathology, cognitive dysfunction and impulsivity. Each component was associated with a unique whole-brain RSFC signature and shared across all participants. The components were robust across multiple control analyses and replicated using independent task functional magnetic resonance imaging data from the same participants. Strikingly, all three components featured connectivity alterations within the somatosensory-motor network, and its connectivity with subcortical structures and cortical executive networks.ConclusionsWe identified three distinct dimensions with dissociable (but overlapping) whole-brain RSFC signatures across healthy individuals and individuals with psychiatric illness, providing potential intermediate phenotypes that span across diagnostic categories. Our results suggest expanding the focus of psychiatric neuroscience beyond higher-order brain networks.

biorxiv neuroscience 0-100-users 2019

 

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