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Gliome database: a comprehensive web-based tool to access and analyze glia secretome data

Glial cells are phenotypically heterogeneous non-neuronal components of the central and peripheral nervous systems. These cells are endowed with diverse functions and molecular machineries to detect and regulate neuronal or their own activities by various secreted mediators, such as proteinaceous fa...

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Autores principales: Kim, Jong-Heon, Park, Su-Hyeong, Han, Jin, Ko, Pan-Woo, Kwon, Dongseop, Suk, Kyoungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396318/
https://www.ncbi.nlm.nih.gov/pubmed/32743661
http://dx.doi.org/10.1093/database/baaa057
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author Kim, Jong-Heon
Park, Su-Hyeong
Han, Jin
Ko, Pan-Woo
Kwon, Dongseop
Suk, Kyoungho
author_facet Kim, Jong-Heon
Park, Su-Hyeong
Han, Jin
Ko, Pan-Woo
Kwon, Dongseop
Suk, Kyoungho
author_sort Kim, Jong-Heon
collection PubMed
description Glial cells are phenotypically heterogeneous non-neuronal components of the central and peripheral nervous systems. These cells are endowed with diverse functions and molecular machineries to detect and regulate neuronal or their own activities by various secreted mediators, such as proteinaceous factors. In particular, glia-secreted proteins form a basis of a complex network of glia–neuron or glia–glia interactions in health and diseases. In recent years, the analysis and profiling of glial secretomes have raised new expectations for the diagnosis and treatment of neurological disorders due to the vital role of glia in numerous physiological or pathological processes of the nervous system. However, there is no online database of glia-secreted proteins available to facilitate glial research. Here, we developed a user-friendly ‘Gliome’ database (available at www.gliome.org), a web-based tool to access and analyze glia-secreted proteins. The database provides a vast collection of information on 3293 proteins that are released from glia of multiple species and have been reported to have differential functions under diverse experimental conditions. It contains a web-based interface with the following four key features regarding glia-secreted proteins: (i) fundamental information, such as signal peptide, SecretomeP value, functions and Gene Ontology category; (ii) differential expression patterns under distinct experimental conditions; (iii) disease association; and (iv) interacting proteins. In conclusion, the Gliome database is a comprehensive web-based tool to access and analyze glia-secretome data obtained from diverse experimental settings, whereby it may facilitate the integration of bioinformatics into glial research.
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spelling pubmed-73963182020-08-05 Gliome database: a comprehensive web-based tool to access and analyze glia secretome data Kim, Jong-Heon Park, Su-Hyeong Han, Jin Ko, Pan-Woo Kwon, Dongseop Suk, Kyoungho Database (Oxford) Original Article Glial cells are phenotypically heterogeneous non-neuronal components of the central and peripheral nervous systems. These cells are endowed with diverse functions and molecular machineries to detect and regulate neuronal or their own activities by various secreted mediators, such as proteinaceous factors. In particular, glia-secreted proteins form a basis of a complex network of glia–neuron or glia–glia interactions in health and diseases. In recent years, the analysis and profiling of glial secretomes have raised new expectations for the diagnosis and treatment of neurological disorders due to the vital role of glia in numerous physiological or pathological processes of the nervous system. However, there is no online database of glia-secreted proteins available to facilitate glial research. Here, we developed a user-friendly ‘Gliome’ database (available at www.gliome.org), a web-based tool to access and analyze glia-secreted proteins. The database provides a vast collection of information on 3293 proteins that are released from glia of multiple species and have been reported to have differential functions under diverse experimental conditions. It contains a web-based interface with the following four key features regarding glia-secreted proteins: (i) fundamental information, such as signal peptide, SecretomeP value, functions and Gene Ontology category; (ii) differential expression patterns under distinct experimental conditions; (iii) disease association; and (iv) interacting proteins. In conclusion, the Gliome database is a comprehensive web-based tool to access and analyze glia-secretome data obtained from diverse experimental settings, whereby it may facilitate the integration of bioinformatics into glial research. Oxford University Press 2020-07-31 /pmc/articles/PMC7396318/ /pubmed/32743661 http://dx.doi.org/10.1093/database/baaa057 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Jong-Heon
Park, Su-Hyeong
Han, Jin
Ko, Pan-Woo
Kwon, Dongseop
Suk, Kyoungho
Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title_full Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title_fullStr Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title_full_unstemmed Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title_short Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
title_sort gliome database: a comprehensive web-based tool to access and analyze glia secretome data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396318/
https://www.ncbi.nlm.nih.gov/pubmed/32743661
http://dx.doi.org/10.1093/database/baaa057
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