QTL associated with "alcohol preference locus 25, male specific". This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (8122863)
QTL associated with amphetamine distance traveled 1. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (20861477)
Authors:
Torkamanzehi A, Boksa P, Ayoubi M, Fortier ME, Ng Ying Kin NM, Skamene E, Rouleau G, Joober R
QTL associated with collagen induced arthritis 15. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (8122863)
Authors:
Glant TT, Adarichev VA, Nesterovitch AB, Szanto S, Oswald JP, Jacobs JJ, Firneisz G, Zhang J, Finnegan A, Mikecz K
QTL associated with cocaine induced activation 4. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (25567955)
QTL associated with circadian period of locomotor activity 4. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (26691206)
Authors:
Mayeda AR, Hofstetter JR, Belknap JK, Nurnberger JI Jr
QTL associated with darker modification of yellow agouti QTL 1. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (45435458)
QTL associated with lung squamous cell carcinoma 1. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (24071806)
Authors:
Wang Y, Zhang Z, Yan Y, Lemon WJ, LaRegina M, Morrison C, Lubet R, You M
QTL associated with neurotensin transcript abundance 1. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (24071806)
QTL associated with systematic lupus erythematosus susceptibility 10. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (19802051)
Authors:
Haywood ME, Hogarth MB, Slingsby JH, Rose SJ, Allen PJ, Thompson EM, Maibaum MA, Chandler P, Davies KA, Simpson E, Walport MJ, Morley BJ
Drug Naïve DO mice were tested for open field, light dark, hole board, novelty place preference before collecting the striatum. RNA-Seq data was analyzed with WGCNA using a soft thresholding power of 3 selected using the WGCNA scale-free topology R2 threshold of 0.9, signed network with a minimum module size of 30, correlation type is bicor, used numeric labels.
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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