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Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
Jong-Heon Kim1, Su-Hyeong Park2,3, Jin Han2
1Brain Science and Engineering Institute, Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, Republic of Korea.
Database : the Journal of Biological Databases and Curation
|August 4, 2020
Summary
Researchers developed Gliome, a new online database of glia-secreted proteins. This resource aids in understanding glial cell functions and interactions for neurological disorder research.
Area of Science:
- Neuroscience
- Cell Biology
- Bioinformatics
Background:
- Glial cells are crucial non-neuronal components in the nervous system.
- Glia-neuron and glia-glia interactions are mediated by secreted proteins.
- Profiling glial secretomes offers potential for diagnosing and treating neurological disorders.
Purpose of the Study:
- To develop a comprehensive, user-friendly online database for glia-secreted proteins.
- To facilitate research on glial cell functions and their role in neurological diseases.
Main Methods:
- Development of the Gliome database, a web-based tool.
- Compilation of data on 3293 glia-secreted proteins from multiple species.
- Integration of features for accessing fundamental protein information, differential expression, disease association, and protein interactions.
Main Results:
- The Gliome database provides access to information on 3293 glia-secreted proteins.
- The database includes data on signal peptides, SecretomeP values, functions, and Gene Ontology categories.
- Features for analyzing differential expression, disease association, and interacting proteins are available.
Conclusions:
- The Gliome database serves as a valuable resource for glial research.
- It facilitates the integration of bioinformatics into the study of glia-secreted proteins.
- This tool can advance the understanding and treatment of neurological disorders.
