1. Catalog
  2. Nodes
  3. p(HGNCGENEFAMILY:"Adenylate cyclases")

p(HGNCGENEFAMILY:"Adenylate cyclases")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
Adenylate cyclases
Namespace
hgnc.genefamily
Namespace Version
20181015
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/3074b85b858455d8eeb76cfcdef685ced19bbe11/external/hgnc.genefamily-names.belns

Appears in Networks 1

M1 muscarinic acetylcholine receptor in Alzheimer’s disease v1.0.0

This file encodes the article M1 muscarinic acetylcholine receptor in Alzheimer’s disease by Jiang et al, 2014

In-Edges 2

complex(p(HGNC:CHRM2), p(HGNC:GNAO1)) decreases p(HGNCGENEFAMILY:"Adenylate cyclases") View Subject | View Object

So far, five mAChR subtypes (M1– M5) have been identified and are divided into two categories based on the manner of signal transduction: M1, M3, and M5 subtypes preferentially interact with the Gq/11 family of G proteins, activating phospholipase C and mobilizing intracellular calcium, while M2 and M4 subtypes couple to the Go/i family, inhibiting adenylate cyclases and reducing intracellular cAMP levels PubMed:24590577

Appears in Networks:

complex(p(HGNC:CHRM4), p(HGNC:GNAO1)) decreases p(HGNCGENEFAMILY:"Adenylate cyclases") View Subject | View Object

So far, five mAChR subtypes (M1– M5) have been identified and are divided into two categories based on the manner of signal transduction: M1, M3, and M5 subtypes preferentially interact with the Gq/11 family of G proteins, activating phospholipase C and mobilizing intracellular calcium, while M2 and M4 subtypes couple to the Go/i family, inhibiting adenylate cyclases and reducing intracellular cAMP levels PubMed:24590577

Appears in Networks:

Out-Edges 0

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.