To assess response to chronic psychological stress, gene expression profiles in peripheral blood from 18 medical students confronting license examination were analyzed using an original microarray. Total RNA was collected from each subject 9 months before the examination and mixed to be used as a universal control. At that time, most students had normal scores on the state-trait anxiety inventory (STAI). However, STAI scores were significantly elevated at 2 months and at 2 days before the examination. Pattern of the gene expression profile was more uniform 2 days before than 2 months before the examination. We identified 24 genes that significantly and uniformly changed from the universal control 2 days before the examination. Of the 24 genes, real-time PCR validated changes in mRNA levels of 10 (PLCB2, CSF3R, ARHGEF1, DPYD, CTNNB1, PPP3CA, POLM, IRF3, TP53, and CCNI). The identified genes may be useful to assess chronic psychological stress response.
Authors:
Kawai T, Morita K, Masuda K, Nishida K, Shikishima M, Ohta M, Saito T, Rokutan K
Expression profiles in peripheral blood from 18 medical students confronting license examination were analyzed using an original microarray. Total RNA was collected from each subject 9 months before the examination and mixed to be used as a universal control. At that time, most students had normal scores on the state-trait anxiety inventory (STAI). However, STAI scores were significantly elevated at 2 months and at 2 days before the examination.
Authors:
Kawai T, Morita K, Masuda K, Nishida K, Shikishima M, Ohta M, Saito T, Rokutan K
HALLMARK_WNT_BETA_CATENIN_SIGNALING
Genes up-regulated by activation of WNT signaling through accumulation of beta catenin CTNNB1 <a href='http://www.ncbi.nlm.nih.gov/gene/1499'>[GeneID=1499]</a>.
h - Hallmark genesets containing coherently expressed signatures derived by aggregating many MSigDB gene sets to represent well-defined biological states or processes.
Molecular Signatures Database (MSigDB) Geneset. This geneset was imported from one of the MSigDB collections.
gene2msig v. 0.1.0
Last updated 2015.08.31
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Bone mineral density (hip). The EFO term bone density was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
F Rivadeneira, U Styrkársdottir, K Estrada, BV Halldórsson, YH Hsu, JB Richards, MC Zillikens, FK Kavvoura, N Amin, YS Aulchenko, LA Cupples, P Deloukas, S Demissie, E Grundberg, A Hofman, A Kong, D Karasik, JB van Meurs, B Oostra, T Pastinen, HA Pols, G Sigurdsson, N Soranzo, G Thorleifsson, U Thorsteinsdottir, FM Williams, SG Wilson, Y Zhou, SH Ralston, CM van Duijn, T Spector, DP Kiel, K Stefansson, JP Ioannidis, AG Uitterlinden
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.
Examination of changes in gene expression induced by repeated administration of the mGlu5 antagonists MPEP and MTEP. Male Wistar rats (n=5 per treatment group) were administered MPEP (10 mg/kg), MTEP (10 mg/kg) or vehicle intraperitoneally twice daily for 5 days.
This gene set comprises downregulated genes during the 7-day period of hourly cocaine self-infusion. Background: Microarray gene expression profiling results of rat-striatum after cocaine self-administration were used to identify co-regulation of certain mRNAs involved in cocaine-induced changes in circadian rhythmicity.
Authors:
Lynch WJ, Girgenti MJ, Breslin FJ, Newton SS, Taylor JR
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
Striatum Gene Expression Correlates for ST_MAX_120 measured in BXD RI Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The ST_MAX_120 measures Maximum startle to 120 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
Striatum Gene Expression Correlates for ST_MAX_70 measured in BXD RI Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The ST_MAX_70 measures Maximum startle response to 70 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
Striatum Gene Expression Correlates for ST_PCT_PPI_80 measured in BXD RI Females & Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The ST_PCT_PPI_80 measures Prepulse inhibition at 80db 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
Striatum Gene Expression Correlates for ST_PCT_STARTLE_80 measured in BXD RI Females & Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The ST_PCT_STARTLE_80 measures Acoustic Startle Response Percentage of maximum startle response at 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
Striatum Gene Expression Correlates for MDMA_ACT_SAL_1 measured in BXD RI Females & Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The MDMA_ACT_SAL_1 measures Locomotor activity of mice on Day 1 under the domain MDMA. 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
Cerebellum Gene Expression Correlates for VERCNT165 measured in BXD RI Females obtained using SJUT Cerebellum mRNA M430 (Mar05) RMA. The VERCNT165 measures Morphine vertical activity counts minutes 150-165 under the domain Morphine. 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
These genes are a 1 class SAM significant (1% FDR) in nucleus accumbens (core + shell) for saline treated ("basal") control vs. Fyn KO mice. The list was filtered for an average Sscore >2.0 or <-2.0. Data from Farris and Miles, PLoS One, 2013.
cocaine related behavior 10 (Cocrb10) spans 93.149752 - 143.149752 Mbp (NCBI Build 37) on Chr 9. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for METH responses for body temperature on Chr9 at D9Mit12 (103.09 Mbp , Build 37)
Description:
METH responses for body temperature spans 78.09 - 128.09 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
alcohol response 4 (a.k.a. high-dose ethanol actions) is associated with neurotensin immunoreactivity and sleep time after alcohol administration mapped to 55 cM on mouse Chromosome 9 near D9Mit12 (P=0.0006). This locus is named Alcrsp4 (alcohol response 4). Potential candidate genes found in this region are Chrna3 and Gnai2. 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 differences in cocaine responsiveness on Chr9 at D9MIt2O (105.59 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 80.59 - 130.59 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Tolliver BK, Belknap JK, Woods WE, Carney JM
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