QTL for METH responses for chewing on ChrX at DXNcvs10 (74.58 Mbp , Build 37)
Description:
METH responses for chewing spans 49.58 - 99.58 Mbp (NCBI Build 37) on ChrX. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL associated with femoral cross-sectional area 4. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (61237013)
Authors:
Klein RF, Turner RJ, Skinner LD, Vartanian KA, Serang M, Carlos AS, Shea M, Belknap JK, Orwoll ES
Genes with particular expression in the Motor nucleus of trigeminal. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Nucleus of the solitary tract, gelatinous part. Data represent fold expression difference in structure versus grey matter average expression.
The GEO2R tool was used to analyze microarray data from mice either mock-infected or infected with SARS-CoV1. The Gene sets used in the analysis were from GSE59185. GEO2R was used with default parameters. Genes with an adjusted p-value of <0.05 and a log fold change <-1.0 are included in this set. EntrezGene identifiers or sequence identifiers were converted to MGI identifiers. Genes that could not be converted were omitted. If a gene was represented more than once, the largest fold-change was chosen.
Authors:
Jose A Regla-Nava, Jose L Nieto-Torres, Jose M Jimenez-Guardeño, Raul Fernandez-Delgado, Craig Fett, Carlos Castaño-Rodríguez, Stanley Perlman, Luis Enjuanes, Marta L DeDiego
Genes that have enhancers which have changes in chromatin structure to state 4 or 5 in response to cocaine in adult (8-10 week) male C57BL/6J mice. 5hmC levels were measured via 5hmC-seq. Data taken from Supplementary Table 3. Values presented are "1" for presence. Data available at GEO with accession number GSE63749.
Authors:
Jian Feng, Ningyi Shao, Keith E Szulwach, Vincent Vialou, Jimmy Huynh, Chun Zhong, Thuc Le, Deveroux Ferguson, Michael E Cahill, Yujing Li, Ja Wook Koo, Efrain Ribeiro, Benoit Labonte, Benjamin M Laitman, David Estey, Victoria Stockman, Pamela Kennedy, Thomas Couroussé, Isaac Mensah, Gustavo Turecki, Kym F Faull, Guo-li Ming, Hongjun Song, Guoping Fan, Patrizia Casaccia, Li Shen, Peng Jin, Eric J Nestler
Alcohol transcriptome changes in mice microglia 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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