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complex(a(GO:"early endosome"), a(GO:"late endosome"))

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Components

Appears in Networks 1

The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0

In-Edges 3

p(HGNC:RAB4A) increases complex(a(GO:"early endosome"), a(GO:"late endosome")) View Subject | View Object

Genes related to endocytosis, such as Rab5,Rab7, and Rab4, are among the earliest groups to showup-regulated transcription in AD(Ginsberg et al. 2010), and their corresponding proteins are abnormally recruited to endosomes, where they promote fusion and abnormal enlargement of early and late endosomes (Cataldo et al. 1997, 2008). PubMed:22908190

Appears in Networks:

p(HGNC:RAB5A) increases complex(a(GO:"early endosome"), a(GO:"late endosome")) View Subject | View Object

Genes related to endocytosis, such as Rab5,Rab7, and Rab4, are among the earliest groups to showup-regulated transcription in AD(Ginsberg et al. 2010), and their corresponding proteins are abnormally recruited to endosomes, where they promote fusion and abnormal enlargement of early and late endosomes (Cataldo et al. 1997, 2008). PubMed:22908190

Appears in Networks:

p(HGNC:RAB7A) increases complex(a(GO:"early endosome"), a(GO:"late endosome")) View Subject | View Object

Genes related to endocytosis, such as Rab5,Rab7, and Rab4, are among the earliest groups to showup-regulated transcription in AD(Ginsberg et al. 2010), and their corresponding proteins are abnormally recruited to endosomes, where they promote fusion and abnormal enlargement of early and late endosomes (Cataldo et al. 1997, 2008). PubMed:22908190

Appears in Networks:

Out-Edges 2

complex(a(GO:"early endosome"), a(GO:"late endosome")) hasComponent a(GO:"early endosome") View Subject | View Object

Appears in Networks:

complex(a(GO:"early endosome"), a(GO:"late endosome")) hasComponent a(GO:"late endosome") View Subject | View Object

Appears in Networks:

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.