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g(HGNC:"MIR7-1")

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

Entity

Name
MIR7-1
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 1

complex(g(HGNC:"MIR7-1"), r(HGNC:SNCA)) hasComponent g(HGNC:"MIR7-1") View Subject | View Object

Appears in Networks:

Out-Edges 4

g(HGNC:"MIR7-1") regulates p(HGNC:SNCA) View Subject | View Object

Two miRNAs that play an important role in regulating α‐synuclein expression are miR‐153 and miR‐7 PubMed:30663117

Appears in Networks:
Annotations
MeSH
Parkinson Disease

g(HGNC:"MIR7-1") decreases p(HGNC:SNCA) View Subject | View Object

It has been shown that miR‐7 inhibition increases the expression of α‐synuclein PubMed:30663117

Appears in Networks:
Annotations
MeSH
Parkinson Disease

g(HGNC:"MIR7-1") regulates p(HGNC:SNCA) View Subject | View Object

That is, in the event that miRNAs regulating α‐synuclein that reduce its accumulation (including miR‐153, miR‐7, miR‐132, and miR‐133‐b) are decreased, the progression of PD will be accelerated. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Parkinson Disease

g(HGNC:"MIR7-1") decreases path(MESH:"Parkinson Disease") View Subject | View Object

That is, in the event that miRNAs regulating α‐synuclein that reduce its accumulation (including miR‐153, miR‐7, miR‐132, and miR‐133‐b) are decreased, the progression of PD will be accelerated. PubMed:30663117

Appears in Networks:
Annotations
MeSH
Parkinson 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.