TY - JOUR
T1 - Regional differences and similarities in the brain transcriptome for mice selected for ethanol preference from HS-CC founders
AU - Colville, Alexandre M.
AU - Iancu, Ovidiu D.
AU - Lockwood, Denesa R.
AU - Darakjian, Priscila
AU - McWeeney, Shannon K.
AU - Searles, Robert
AU - Zheng, Christina
AU - Hitzemann, Robert
N1 - Funding Information:
AC passed away unexpectedly in August 2015. The data presented here was part of his Ph.D. dissertation, which was presented posthumously in June 2016. All authors were involved either in the acquisition of the data and/or in the data analysis and manuscript preparation. This work was supported in part by National Institutes of Health (AA11034, AA13484, and AA10760).
Publisher Copyright:
© 2018 Colville, Iancu, Lockwood, Darakjian, McWeeney, Searles, Zheng and Hitzemann.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - The high genetic complexity found in heterogeneous stock (HS-CC) mice, together with selective breeding, can be used to detect new pathways and mechanisms associated with ethanol preference and excessive ethanol consumption. We predicted that these pathways would provide new targets for therapeutic manipulation. Previously (Colville et al., 2017), we observed that preference selection strongly affected the accumbens shell (SH) genes associated with synaptic function and in particular genes associated with synaptic tethering. Here we expand our analyses to include substantially larger sample sizes and samples from two additional components of the "addiction circuit," the central nucleus of the amygdala (CeA) and the prelimbic cortex (PL). At the level of differential expression (DE), the majority of affected genes are region-specific; only in the CeA did the DE genes show a significant enrichment in GO annotation categories, e.g., neuron part. In all three brain regions the differentially variable genes were significantly enriched in a single network module characterized by genes associated with cell-to-cell signaling. The data point to glutamate plasticity as being a key feature of selection for ethanol preference. In this context the expression of Dlg2 which encodes for PSD-93 appears to have a key role. It was also observed that the expression of the clustered protocadherins was strongly associated with preference selection.
AB - The high genetic complexity found in heterogeneous stock (HS-CC) mice, together with selective breeding, can be used to detect new pathways and mechanisms associated with ethanol preference and excessive ethanol consumption. We predicted that these pathways would provide new targets for therapeutic manipulation. Previously (Colville et al., 2017), we observed that preference selection strongly affected the accumbens shell (SH) genes associated with synaptic function and in particular genes associated with synaptic tethering. Here we expand our analyses to include substantially larger sample sizes and samples from two additional components of the "addiction circuit," the central nucleus of the amygdala (CeA) and the prelimbic cortex (PL). At the level of differential expression (DE), the majority of affected genes are region-specific; only in the CeA did the DE genes show a significant enrichment in GO annotation categories, e.g., neuron part. In all three brain regions the differentially variable genes were significantly enriched in a single network module characterized by genes associated with cell-to-cell signaling. The data point to glutamate plasticity as being a key feature of selection for ethanol preference. In this context the expression of Dlg2 which encodes for PSD-93 appears to have a key role. It was also observed that the expression of the clustered protocadherins was strongly associated with preference selection.
KW - Central nucleus of amygdala (CeA)
KW - Collaborative cross
KW - Network analysis
KW - Nucleus accumbens shell
KW - Prelimbic cortex
KW - RNA-Seq
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U2 - 10.3389/fgene.2018.00300
DO - 10.3389/fgene.2018.00300
M3 - Article
AN - SCOPUS:85052905094
SN - 1664-8021
VL - 9
JO - Frontiers in Genetics
JF - Frontiers in Genetics
IS - AUG
M1 - 300
ER -