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  2. Nodes
  3. g(HGNC:"MIR9-1")

g(HGNC:"MIR9-1")

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

Entity

Name
MIR9-1
Namespace
hgnc
Namespace Version
20190224
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/efc856fb009a39e4d284269a6801f79ed3d3cf56/external/hgnc-names.belns

Appears in Networks 1

New insights into the role of microRNAs and long noncoding RNAs in most common neurodegenerative diseases v1.0.0

In-Edges 2

path(MESH:"Alzheimer Disease") association g(HGNC:"MIR9-1") View Subject | View Object

As regards, the MAPKK2 pathway, miR‐9 has been shown to inhibit tangles neurofibrillary by inhibiting this pathway and to play an important role in preventing AD. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

path(MESH:"Alzheimer Disease") decreases g(HGNC:"MIR9-1") View Subject | View Object

Comparing miR‐9 in patients with AD against healthy individuals shows a significant decrease of miR‐9 in patients with AD PubMed:30663117

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

Out-Edges 3

g(HGNC:"MIR9-1") decreases a(GO:"neurofibrillary tangle") View Subject | View Object

As regards, the MAPKK2 pathway, miR‐9 has been shown to inhibit tangles neurofibrillary by inhibiting this pathway and to play an important role in preventing AD. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

g(HGNC:"MIR9-1") decreases act(p(HGNC:MAP2K2)) View Subject | View Object

As regards, the MAPKK2 pathway, miR‐9 has been shown to inhibit tangles neurofibrillary by inhibiting this pathway and to play an important role in preventing AD. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

g(HGNC:"MIR9-1") association path(MESH:"Alzheimer Disease") View Subject | View Object

As regards, the MAPKK2 pathway, miR‐9 has been shown to inhibit tangles neurofibrillary by inhibiting this pathway and to play an important role in preventing AD. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

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.