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

Appears in Networks 1

In-Edges 3

a(MESH:"HSP70 Heat-Shock Proteins") negativeCorrelation g(NCBIGENE:406950) View Subject | View Object

By linking to the 3′‐UTR sequence of Hsp70 mRNA, miR‐16‐1 configures Hsp70. Its increase reduces the Hsp70, which in turn boosts the aggregation of α‐synuclein protein, and this increases the incidence of PD. PubMed:30663117

path(MESH:"Parkinson Disease") association g(NCBIGENE:406950) View Subject | View Object

miR‐16‐1 is a case in point that has been seen in some patients with PD.It has been shown to decrease the expression of Hsp70 by increasing the aggregation of the α‐synuclein protein PubMed:30663117

Out-Edges 4

g(NCBIGENE:406950) association path(MESH:"Parkinson Disease") View Subject | View Object

miR‐16‐1 is a case in point that has been seen in some patients with PD.It has been shown to decrease the expression of Hsp70 by increasing the aggregation of the α‐synuclein protein PubMed:30663117

g(NCBIGENE:406950) decreases a(MESH:"HSP70 Heat-Shock Proteins") View Subject | View Object

miR‐16‐1 is a case in point that has been seen in some patients with PD.It has been shown to decrease the expression of Hsp70 by increasing the aggregation of the α‐synuclein protein PubMed:30663117

g(NCBIGENE:406950) negativeCorrelation a(MESH:"HSP70 Heat-Shock Proteins") View Subject | View Object

By linking to the 3′‐UTR sequence of Hsp70 mRNA, miR‐16‐1 configures Hsp70. Its increase reduces the Hsp70, which in turn boosts the aggregation of α‐synuclein protein, and this increases the incidence of PD. PubMed:30663117

g(NCBIGENE:406950) increases a(HBP:"alpha-synuclein aggregates") View Subject | View Object

miR‐16‐1 is a case in point that has been seen in some patients with PD.It has been shown to decrease the expression of Hsp70 by increasing the aggregation of the α‐synuclein protein PubMed:30663117

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.