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Appears in Networks 3

In-Edges 3

act(p(FPLX:CHRN)) increases path(MESH:Arousal) View Subject | View Object

Moreover, although nicotine increases wakefulness in wild-type mice, it does not affect β2−/− mice. Overall, stimulation of nAChRs promotes arousal and REM sleep. PubMed:17009926

p(FPLX:CHRN) association path(MESH:Arousal) View Subject | View Object

As ACh-gated cation channels, these broadly distributed receptors participate in arousal, motivation, and numerous aspects of cognition (Gotti and Clementi, 2004; Hogg et al., 2003; Le Nove` re et al., 2002; Lindstrom, 1997; Picciotto, 2003; Role and Berg, 1996). PubMed:28445721

p(MESH:"Receptors, Nicotinic") association path(MESH:Arousal) View Subject | View Object

In the brain, nAChRs are widely expressed, both presyn- aptically and postsynaptically, and are involved in several functions including learning and memory, arousal, reward, motor control, and analgesia. nAChRs are also the target of nicotine, the main addictive agent delivered by cigarette smoke PubMed:28901280

Out-Edges 2

path(MESH:Arousal) association p(FPLX:CHRN) View Subject | View Object

As ACh-gated cation channels, these broadly distributed receptors participate in arousal, motivation, and numerous aspects of cognition (Gotti and Clementi, 2004; Hogg et al., 2003; Le Nove` re et al., 2002; Lindstrom, 1997; Picciotto, 2003; Role and Berg, 1996). PubMed:28445721

path(MESH:Arousal) association p(MESH:"Receptors, Nicotinic") View Subject | View Object

In the brain, nAChRs are widely expressed, both presyn- aptically and postsynaptically, and are involved in several functions including learning and memory, arousal, reward, motor control, and analgesia. nAChRs are also the target of nicotine, the main addictive agent delivered by cigarette smoke PubMed:28901280

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.