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HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease
Huntington’s disease (HD) is a progressive and fatal neurodegenerative disorder caused by an expanded CAG repeat in the huntingtin gene. Although HD is monogenic, its molecular manifestation appears highly complex and involves multiple cellular processes. The recent application of high throughput pl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507972/ https://www.ncbi.nlm.nih.gov/pubmed/28701700 http://dx.doi.org/10.1038/s41598-017-05224-0 |
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author | Kalathur, Ravi Kiran Reddy Pedro Pinto, José Sahoo, Biswanath Chaurasia, Gautam Futschik, Matthias E. |
author_facet | Kalathur, Ravi Kiran Reddy Pedro Pinto, José Sahoo, Biswanath Chaurasia, Gautam Futschik, Matthias E. |
author_sort | Kalathur, Ravi Kiran Reddy |
collection | PubMed |
description | Huntington’s disease (HD) is a progressive and fatal neurodegenerative disorder caused by an expanded CAG repeat in the huntingtin gene. Although HD is monogenic, its molecular manifestation appears highly complex and involves multiple cellular processes. The recent application of high throughput platforms such as microarrays and mass-spectrometry has indicated multiple pathogenic routes. The massive data generated by these techniques together with the complexity of the pathogenesis, however, pose considerable challenges to researchers. Network-based methods can provide valuable tools to consolidate newly generated data with existing knowledge, and to decipher the interwoven molecular mechanisms underlying HD. To facilitate research on HD in a network-oriented manner, we have developed HDNetDB, a database that integrates molecular interactions with many HD-relevant datasets. It allows users to obtain, visualize and prioritize molecular interaction networks using HD-relevant gene expression, phenotypic and other types of data obtained from human samples or model organisms. We illustrated several HDNetDB functionalities through a case study and identified proteins that constitute potential cross-talk between HD and the unfolded protein response (UPR). HDNetDB is publicly accessible at http://hdnetdb.sysbiolab.eu. |
format | Online Article Text |
id | pubmed-5507972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55079722017-07-14 HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease Kalathur, Ravi Kiran Reddy Pedro Pinto, José Sahoo, Biswanath Chaurasia, Gautam Futschik, Matthias E. Sci Rep Article Huntington’s disease (HD) is a progressive and fatal neurodegenerative disorder caused by an expanded CAG repeat in the huntingtin gene. Although HD is monogenic, its molecular manifestation appears highly complex and involves multiple cellular processes. The recent application of high throughput platforms such as microarrays and mass-spectrometry has indicated multiple pathogenic routes. The massive data generated by these techniques together with the complexity of the pathogenesis, however, pose considerable challenges to researchers. Network-based methods can provide valuable tools to consolidate newly generated data with existing knowledge, and to decipher the interwoven molecular mechanisms underlying HD. To facilitate research on HD in a network-oriented manner, we have developed HDNetDB, a database that integrates molecular interactions with many HD-relevant datasets. It allows users to obtain, visualize and prioritize molecular interaction networks using HD-relevant gene expression, phenotypic and other types of data obtained from human samples or model organisms. We illustrated several HDNetDB functionalities through a case study and identified proteins that constitute potential cross-talk between HD and the unfolded protein response (UPR). HDNetDB is publicly accessible at http://hdnetdb.sysbiolab.eu. Nature Publishing Group UK 2017-07-12 /pmc/articles/PMC5507972/ /pubmed/28701700 http://dx.doi.org/10.1038/s41598-017-05224-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kalathur, Ravi Kiran Reddy Pedro Pinto, José Sahoo, Biswanath Chaurasia, Gautam Futschik, Matthias E. HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title | HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title_full | HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title_fullStr | HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title_full_unstemmed | HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title_short | HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease |
title_sort | hdnetdb: a molecular interaction database for network-oriented investigations into huntington’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507972/ https://www.ncbi.nlm.nih.gov/pubmed/28701700 http://dx.doi.org/10.1038/s41598-017-05224-0 |
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