PubMed 30008470

In addition, Adnp expression was increased at the 24 h time point in the NAc of female, but not male mouse (one-way ANOVA; females: F(2,9) = 10.87, p < 0.005; post hoc: p < 0.005; males: p > 0.05).

BEL
path(MESH:"Alcohol Drinking") increases p(HGNC:ADNP)
Hash
1499fce796
Gender
Female
MeSHAnatomy
Nucleus Accumbens
Species
10090
Networks
BEL
path(MESH:"Alcohol Drinking") causesNoChange p(HGNC:ADNP)
Hash
31897a91f4
Gender
Male
MeSHAnatomy
Nucleus Accumbens
Species
10090
Networks

PubMed 30008470

We found no changes in the expression of Adnp in the VTA (p’s > 0.05).

BEL
path(MESH:"Alcohol Drinking") causesNoChange p(HGNC:ADNP)
Hash
bb4998ca79
Gender
Male, Female
MeSHAnatomy
Ventral Tegmental Area
Species
10090
Networks

PubMed 30008470

We found that among male mice, Adnp mRNA levels were increased in the dorsal hippocampus after a 24 h alcohol drinking session, but the level returned to baseline (water-drinking controls) after 24 h of withdrawal (Fig. 2b; one-way ANOVA: F(2,13) = 5.32, p < 0.05, post hoc comparisons, p’s < 0.05)

BEL
path(MESH:"Alcohol Drinking") increases p(HGNC:ADNP)
Hash
c3a8d84ef3
Gender
Male
MeSHAnatomy
Hippocampus
Species
10090
Networks

PubMed 30008470

However, in female mice, the expression of Adnp was reduced after a 24-h alcohol-drinking session, and this reduction persisted after a 24-h withdrawal (Fig. 2c; one-way ANOVA: F(2,13) = 7.53, p < 0.01, post hoc comparisons, p’s < 0.05).

BEL
path(MESH:"Alcohol Drinking") decreases p(HGNC:ADNP)
Hash
6e88a534d1
Gender
Female
MeSHAnatomy
Hippocampus
Species
10090
Networks

PubMed 30008470

No changes in Adnp levels were detected in the VTA or NAc (p’s > 0.05).

BEL
path(MESH:"Alcohol Drinking") causesNoChange p(HGNC:ADNP)
Hash
e3443c6b6d
Gender
Male, Female
MeSHAnatomy
Ventral Tegmental Area
Species
10090
Networks

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.