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Multiple lines of evidence implicate the serotonin (5-HT) system in social function, including biomarker findings in autism spectrum disorder. In mice, knock-in of a rare Gly56Ala substitution in the serotonin transporter (SERT) causes elevated whole blood 5-HT levels, increased 5-HT clearance in the brain, and altered social and repetitive behavior. To further examine the molecular impact of this variant on social response, SERT Ala56 mutant mice and wildtype littermate controls were exposed to a social or non-social stimulus. We examined the differential activation of the prefrontal cortex, lateral amygdala, and medial amygdala, to social stimuli through RNA sequencing. Differentially expressed genes were enriched in axonal guidance signaling pathways, networks related to nervous system development and function, neurological and psychiatric disorders, and behavior. These identified pathways and networks may shed light on the molecular cascades underlying the impact of altered SERT function on social behavior.
Pubmed ID: 32437898
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International database for laboratory mouse. Data offered by The Jackson Laboratory includes information on integrated genetic, genomic, and biological data. MGI creates and maintains integrated representation of mouse genetic, genomic, expression, and phenotype data and develops reference data set and consensus data views, synthesizes comparative genomic data between mouse and other mammals, maintains set of links and collaborations with other bioinformatics resources, develops and supports analysis and data submission tools, and provides technical support for database users. Projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, and MouseCyc Project at MGI.
View all literature mentionsA web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest.
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