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The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues
Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein–protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210565/ https://www.ncbi.nlm.nih.gov/pubmed/27899616 http://dx.doi.org/10.1093/nar/gkw1088 |
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author | Basha, Omer Barshir, Ruth Sharon, Moran Lerman, Eugene Kirson, Binyamin F. Hekselman, Idan Yeger-Lotem, Esti |
author_facet | Basha, Omer Barshir, Ruth Sharon, Moran Lerman, Eugene Kirson, Binyamin F. Hekselman, Idan Yeger-Lotem, Esti |
author_sort | Basha, Omer |
collection | PubMed |
description | Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein–protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 emphasizes qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues. TissueNet v.2 is available at http://netbio.bgu.ac.il/tissuenet. |
format | Online Article Text |
id | pubmed-5210565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105652017-01-05 The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues Basha, Omer Barshir, Ruth Sharon, Moran Lerman, Eugene Kirson, Binyamin F. Hekselman, Idan Yeger-Lotem, Esti Nucleic Acids Res Database Issue Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein–protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 emphasizes qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues. TissueNet v.2 is available at http://netbio.bgu.ac.il/tissuenet. Oxford University Press 2017-01-04 2016-11-28 /pmc/articles/PMC5210565/ /pubmed/27899616 http://dx.doi.org/10.1093/nar/gkw1088 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Basha, Omer Barshir, Ruth Sharon, Moran Lerman, Eugene Kirson, Binyamin F. Hekselman, Idan Yeger-Lotem, Esti The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title | The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title_full | The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title_fullStr | The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title_full_unstemmed | The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title_short | The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues |
title_sort | tissuenet v.2 database: a quantitative view of protein-protein interactions across human tissues |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210565/ https://www.ncbi.nlm.nih.gov/pubmed/27899616 http://dx.doi.org/10.1093/nar/gkw1088 |
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