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Related Experiment Video

Updated: Feb 14, 2026

Activating Autophagy by Aerobic Exercise in Mice

Activating Autophagy by Aerobic Exercise in Mice

Published on: February 3, 2017

Exploring autophagy with Gene Ontology.

Paul Denny¹, Marc Feuermann², David P Hill^3,4

¹a Functional Gene Annotation , Institute of Cardiovascular Science, University College London , London , UK.

|February 20, 2018

Summary

Autophagy, a key cellular recycling process, is now represented in the Gene Ontology (GO). This structured vocabulary enhances data sharing and interpretation for autophagy research, aiding in understanding diseases like cancer and neurodegeneration.

Keywords:

Gene Ontology Parkinson disease annotation autophagy biocuration curation enrichment analysis network analysis

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Published on: July 27, 2013

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Last Updated: Feb 14, 2026

Activating Autophagy by Aerobic Exercise in Mice

Activating Autophagy by Aerobic Exercise in Mice

Published on: February 3, 2017

Analyzing Starvation-Induced Autophagy in the Drosophila melanogaster Larval Fat Body

Analyzing Starvation-Induced Autophagy in the Drosophila melanogaster Larval Fat Body

Published on: August 4, 2022

Live Cell Imaging of Early Autophagy Events: Omegasomes and Beyond

Live Cell Imaging of Early Autophagy Events: Omegasomes and Beyond

Published on: July 27, 2013

Area of Science:

Cellular Biology
Molecular Biology
Genomics

Background:

Autophagy is a conserved eukaryotic process for cellular component recycling and stress response.
Dysfunctional autophagy is linked to diseases including neurodegeneration, cardiac conditions, and cancer.
Existing knowledge on autophagy requires a computable and shareable format for data analysis.

Purpose of the Study:

To represent autophagy within the Gene Ontology (GO) framework.
To create and define GO terms relevant to autophagy research.
To enable interoperable descriptions and data analysis of autophagy.

Main Methods:

Developing structured vocabularies for autophagy within the Gene Ontology.
Defining new GO terms specific to autophagy mechanisms and functions.
Annotating gene products with these new GO terms.

Main Results:

A comprehensive representation of autophagy in GO has been established.
New GO terms facilitate a coherent and interconnected view of autophagy.
Gene product annotation with GO terms improves data interpretation.

Conclusions:

The GO representation of autophagy provides a computable and shareable format for research.
This structured approach enhances data analysis and interpretation in autophagy studies.
It offers significant benefits for understanding autophagy's role in health and disease.