cell cycle and proliferation genes that are upregulated in the presence of LPS and differentially expressed in response to CBD + LPS. Mouse BV-2 microglial cells were pretreated with 10 uM CBD for 2 h, followed by addition of LPS for an additional 4 h. Gene expression was evaluated via microarray analysis. Data taken from Supplementary Table S2. Values presented are fold-change. Data available at GEO with accession number GSE70689.
Authors:
Ana Juknat, Maciej Pietr, Ewa Kozela, Neta Rimmerman, Rivka Levy, Fuying Gao, Giovanni Coppola, Daniel Geschwind, Zvi Vogel
cell cycle and proliferation genes that are upregulated in the presence of LPS and differentially expressed in response to THC + LPS. Mouse BV-2 microglial cells were pretreated with 10 uM THC for 2 h, followed by addition of LPS for an additional 4 h. Gene expression was evaluated via microarray analysis. Data taken from Supplementary Table S2. Values presented are fold-change. Data available at GEO with accession number GSE70689.
Authors:
Ana Juknat, Maciej Pietr, Ewa Kozela, Neta Rimmerman, Rivka Levy, Fuying Gao, Giovanni Coppola, Daniel Geschwind, Zvi Vogel
cell cycle and proliferation genes that are upregulated in the presence of LPS and differentially expressed in response to CBD. Mouse BV-2 microglial cells were pretreated with 10 uM CBD for 2 h. Gene expression was evaluated via microarray analysis. Data taken from Supplementary Table S2. Values presented are fold-change. Data available at GEO with accession number GSE70689.
Authors:
Ana Juknat, Maciej Pietr, Ewa Kozela, Neta Rimmerman, Rivka Levy, Fuying Gao, Giovanni Coppola, Daniel Geschwind, Zvi Vogel
cell cycle and proliferation genes that are upregulated in the presence of LPS and differentially expressed in response to THC. Mouse BV-2 microglial cells were pretreated with 10 uM THC for 2 h. Gene expression was evaluated via microarray analysis. Data taken from Supplementary Table S2. Values presented are fold-change. Data available at GEO with accession number GSE70689.
Authors:
Ana Juknat, Maciej Pietr, Ewa Kozela, Neta Rimmerman, Rivka Levy, Fuying Gao, Giovanni Coppola, Daniel Geschwind, Zvi Vogel
Activation of the mesolimbic dopamine reward pathway by acute ethanol produces reinforcement and changes in gene expression that appear to be crucial to the molecular basis for adaptive behaviors and addiction. The inbred mouse strains DBA/2J and C57BL/6J exhibit contrasting acute behavioral responses to ethanol. We used oligonucleotide microarrays and bioinformatics methods to characterize patterns of gene expression in three brain regions of the mesolimbic reward pathway of these strains. Expression profiling included examination of both differences in gene expression 4 h after saline injection or acute ethanol (2 g/kg). Using a rigorous stepwise method for microarray analysis, we identified 788 genes differentially expressed in control DBA/2J versus C57BL/6J mice and 307 ethanol-regulated genes in the nucleus accumbens, prefrontal cortex, and ventral tegmental area. There were strikingly divergent patterns of ethanol-responsive gene expression in the two strains. Ethanol-responsive genes also showed clustering at discrete chromosomal regions, suggesting local chromatin effects in regulation. Ethanol-regulated genes were generally related to neuroplasticity, but regulation of discrete functional groups and pathways was brain region specific: glucocorticoid signaling, neurogenesis, and myelination in the prefrontal cortex; neuropeptide signaling and developmental genes, including factor Bdnf, in the nucleus accumbens; and retinoic acid signaling in the ventral tegmental area. Bioinformatics analysis identified several potential candidate genes for quantitative trait loci linked to ethanol behaviors, further supporting a role for expression profiling in identifying genes for complex traits. Brain region-specific changes in signaling and neuronal plasticity may be critical components in development of lasting ethanol behavioral phenotypes such as dependence, sensitization, and craving.
Using a two-stage process, several genes were initially identified using microarray analyses of cerebellar tissue from ethanol-treated PKCgamma mutant and wild-type mice. This geneset consists of genes related to PKCgamma mutant expression changes due to chronic ethanol diet.
Authors:
Bowers BJ, Radcliffe RA, Smith AM, Miyamoto-Ditmon J, Wehner JM
To monitor the expression levels of a large number of genes and to identify genes not previously implicated in traumatic brain injury pathophysiology, a high-density oligonucleotide array containing 8,800 genes was interrogated. RNA samples were prepared from ipsilateral hippocampi 3 hr and 24 hr following lateral cortical impact injury and compared to samples from sham-operated controls.
Authors:
Matzilevich DA, Rall JM, Moore AN, Grill RJ, Dash PK
Gene expression following traumatic brain injury in humans: Differential expression of genes related to development, differentiation, intracellular interactions, general physiology and pathology, non-transcriptional cellular function, transcriptional control signal transcription, cell cycle regulations and apoptosis.
Study shows that PKC-gamma wild-type mice develop tolerance to the sedative- hypnotic effects of ethanol after chronic ethanol treatment but mutant mice do not, making these genotypes a suitable model for identifying changes in gene expression related developing tolerance toward ethanol. This gene set comprises 27 ethanol- dependence genes that were upregulated in the PKC-gamma wild-type mice during the experiment.
Authors:
Bowers BJ, Radcliffe RA, Smith AM, Miyamoto-Ditmon J, Wehner JM
A list of the 307 genes found to be upregulated or downregulated by ethanol in PFC, VTA or NA of B6 or D2 mice. ID number represents cluster membership from Figure 4.
Authors:
Kerns RT, Ravindranathan A, Hassan S, Cage MP, York T, Sikela JM, Williams RW, Miles MF
Cerebellum Gene Expression Correlates for ST_MAX_80 measured in BXD RI Males obtained using SJUT Cerebellum mRNA M430 (Mar05) RMA. The ST_MAX_80 measures Maximum startle response to 80 db under the domain Basal Behavior. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
The production of 12 out of 27 measured factors was induced by CEsHUT including IL-1β, TNF and IL-1Ra. In contrast to sIL-1Ra production, that of IL-1β and TNF was inhibited by HDL, corroborating previous results. In addition, CEsHUT induced monocytes to produce factors involved in their localization, survival and differentiation such as CCL5 (RANTES), CCL2 (MCP-1), interferon-γ (IFNγ), granulocyte-macrophage colony-stimulating factor (GM-CSF), and macrophage-CSF (M-CSF). The production of the latter was moderate and it was not affected by HDL.
Authors:
Gruaz L, Delucinge-Vivier C, Descombes P, Dayer JM, Burger D
cocaine related behavior 7 (Cocrb7) spans 28.968906 - 78.968906 Mbp (NCBI Build 37) on Chr 6. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for cocaine related behavior on Chr6 at D6Mit183 (53.97 Mbp , Build 37)
Description:
cocaine related behavior spans 28.97 - 78.97 Mbp (NCBI Build 37) on Chr6. 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 METH responses for body temperature on Chr6 at D6Ncvs34 (54.50 Mbp , Build 37)
Description:
METH responses for body temperature spans 29.50 - 79.50 Mbp (NCBI Build 37) on Chr6. 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 ethanol induced locomotion on Chr6 at NA (64.65 Mbp , Build 37)
Description:
ethanol induced locomotion spans 39.65 - 89.65 Mbp (NCBI Build 37) on Chr6. 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 METH responses for home cage activity on Chr6 at D6Nds3 (67.84 Mbp , Build 37)
Description:
METH responses for home cage activity spans 42.84 - 92.84 Mbp (NCBI Build 37) on Chr6. 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 METH responses for body temperature on Chr6 at D6MIt16 (67.84 Mbp , Build 37)
Description:
METH responses for body temperature spans 42.84 - 92.84 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
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