
Many studies have utilized the Inbred Long Sleep and Inbred Short Sleep mouse strains to model the genetic influence on initial sensitivity to ethanol. The mechanisms underlying this divergent phenotype are still not completely understood. In this study, we attempt to identify genes that are differentially expressed between these two strains and to identify baseline networks of co‐expressed genes, which may provide insight regarding their phenotypic differences. We examined the whole brain and striatal transcriptomes of both strains, using next generationRNAsequencing techniques. Many genes were differentially expressed between strains, including several in chromosomal regions previously shown to influence initial sensitivity to ethanol. These results are in concordance with a similar sample of striatal transcriptomes measured using microarrays. In addition to the higher dynamic range,RNA‐Seq is not hindered by high background noise or polymorphisms in probesets as with microarray technology, and we are able to analyze exome sequence of abundant genes. Furthermore, utilizing Weighted Gene Co‐expression Network Analysis, we identified several modules of co‐expressed genes corresponding to strain differences. Several candidate genes were identified, including protein phosphatase 1 regulatory unit 1b (Ppp1r1b), prodynorphin (Pdyn), proenkephalin (Penk), ras association (RalGDS/AF‐6) domain family member 2 (Rassf2), myosin 1d (Myo1d) and transthyretin (Ttr). In addition, we propose a role for potassium channel activity as well as map kinase signaling in the observed phenotypic differences between the two strains.
Male, Dopamine and cAMP-Regulated Phosphoprotein 32, Polymorphism, Genetic, Ethanol, Transcription, Genetic, Sequence Analysis, RNA, Gene Expression Profiling, Brain, High-Throughput Nucleotide Sequencing, Mice, Inbred Strains, Enkephalins, Myosins, Mice, Animals, Prealbumin, Exome, Gene Regulatory Networks, Protein Precursors, Sleep, Transcriptome
Male, Dopamine and cAMP-Regulated Phosphoprotein 32, Polymorphism, Genetic, Ethanol, Transcription, Genetic, Sequence Analysis, RNA, Gene Expression Profiling, Brain, High-Throughput Nucleotide Sequencing, Mice, Inbred Strains, Enkephalins, Myosins, Mice, Animals, Prealbumin, Exome, Gene Regulatory Networks, Protein Precursors, Sleep, Transcriptome
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