The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues

Omer Basha, Ruth Barshir, Moran Sharon, Eugene Lerman, Binyamin F. Kirson, Idan Hekselman, Esti Yeger-Lotem

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

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 tissueassociated 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.

Original languageEnglish
Pages (from-to)D427-D431
JournalNucleic Acids Research
Volume45
Issue numberD1
DOIs
StatePublished - 1 Jan 2017

ASJC Scopus subject areas

  • Genetics

Fingerprint

Dive into the research topics of 'The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues'. Together they form a unique fingerprint.

Cite this