QTL for ethanol induced locomotion on Chr2 at NA (141.12 Mbp , Build 37)
Description:
ethanol induced locomotion spans 116.12 - 166.12 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Hitzemann R, Demarest K, Koyner J, Cipp L, Patel N, Rasmussen E, McCaughran J Jr
QTL for high-dose ethanol actions on Chr2 at D2Mit21 (159.38 Mbp , Build 37)
Description:
high-dose ethanol actions spans 134.38 - 184.38 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Erwin VG, Markel PD, Johnson TE, Gehle VM, Jones BC
QTL for METH responses for climbing on Chr2 at D2Mc1 (162.34 Mbp , Build 37)
Description:
METH responses for climbing spans 137.34 - 187.34 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for nicotine sensitivity on Chr2 at D2Mit311 (162.39 Mbp , Build 37)
Description:
nicotine sensitivity spans 137.39 - 187.39 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for alcohol consumption on Chr2 at D2Mit148 (183.66 Mbp , Build 37)
Description:
alcohol consumption spans 158.66 - 208.66 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Vadasz C, Saito M, Gyetvai B, Mikics E, Vadasz C 2nd
QTL for alcohol preference locus on Chr2 at D2Mit74 (187.16 Mbp , Build 37)
Description:
alcohol preference locus spans 162.16 - 212.16 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for alcohol consumption on Chr2 at D2Mit74 (187.16 Mbp , Build 37)
Description:
alcohol consumption spans 162.16 - 212.16 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Vadasz C, Saito M, Gyetvai B, Mikics E, Vadasz C 2nd
Ethanol induced LORR Chr# 2 rs13476399(28144658) with right flanking marker rs3713997(3151175) and left marker rs3679483 (179861211). This was mapped in 300 + (b6x129)F2 mice.
Genes that are differentially expressed in adult male C57BL/6J mice given chronic cocaine vs. chronic saline. Tissue was collected from the ventral tegmental area (VTA) of the brain. Gene expression was evaluated via RNA-seq, and differential gene expression was determined via linear regression (LR).D13 Values presented are p-values. Data taken from Supplementary Table 1. Data available from GEO with accession number GSE155313."
Authors:
Rianne R Campbell, Siwei Chen, Joy H Beardwood, Alberto J López, Lilyana V Pham, Ashley M Keiser, Jessica E Childs, Dina P Matheos, Vivek Swarup, Pierre Baldi, Marcelo A Wood
Alcohol transcriptome changes in mice microglia total homogenate p-value
Description:
Microglia are fundamentally important immune cells within the central nervous system (CNS) that respond to environmental challenges to maintain normal physiological processes. Alterations in steady-state cellular function and over-activation of microglia can facilitate the initiation and progression of neuropathological conditions such as Alzheimer’s disease, Multiple Sclerosis, and Major Depressive Disorder. Alcohol consumption disrupts signaling pathways including both innate and adaptive immune responses that are necessary for CNS homeostasis. Coordinate expression of these genes is not ascertained from an admixture of CNS cell-types, underscoring the importance of examining isolated cellular populations to reveal systematic gene expression changes arising from mature microglia. Unbiased RNA-Seq profiling was used to identify gene expression changes in isolated prefrontal cortical microglia in response to recurring bouts of voluntary alcohol drinking behavior. The voluntary ethanol paradigm utilizes long-term consumption ethanol that results in escalated alcohol intake and altered cortical plasticity that is seen in humans. Gene coexpression analysis identified a coordinately regulated group of genes, unique to microglia, that collectively are associated with alcohol consumption. Genes within this group are involved in toll-like receptor signaling and transforming growth factor beta signaling. Network connectivity of this group identified Siglech as a putative hub gene and highlighted the potential importance of proteases in the microglial response to chronic ethanol. In conclusion, we identified a distinctive microglial gene expression signature for neuroimmune responses related to alcohol consumption that provides valuable insight into microglia-specific changes underlying the development of substance abuse, and possibly other CNS disorders.
Authors:
Gizelle M McCarthy, Sean P Farris, Yuri A Blednov, R Adron Harris, R Dayne Mayfield
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