ArticleNucleic acids research2017
The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- Uncovering the subtype-specific disease module and the development of drug response prediction models for glioma.Heliyon · 2024Article
- Immune landscape and redox imbalance during neurological disorders in COVID-19.Cell death & disease · 2023Review
- GATA2 co-opts TGFβ1/SMAD4 oncogenic signaling and inherited variants at 6q22 to modulate prostate cancer progression.Journal of experimental & clinical cancer research : CR · 2023Article
- Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation.Molecular systems biology · 2023Article
- Uncovering Protein Networks in Cardiovascular Proteomics.Molecular & cellular proteomics : MCP · 2023Review
- Computational analyses of mechanism of action (MoA): data, methods and integration.RSC chemical biology · 2022Review
- IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis.Nucleic acids research · 2022Article
- Genome-wide chromatin contacts of super-enhancer-associated lncRNA identify LINC01013 as a regulator of fibrosis in the aortic valve.PLoS genetics · 2022Article
- Insights into the SARS-CoV-2-Mediated Alteration in the Stress Granule Protein Regulatory Networks in Humans.Pathogens (Basel, Switzerland) · 2021Article
- Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer.Cancer cell · 2021Article
- Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing.BMC medical genomics · 2021Article
- mPPI: a database extension to visualize structural interactome in a one-to-many manner.Database : the journal of biological databases and curation · 2021Article
- FINER: enhancing the prediction of tissue-specific functions of isoforms by refining isoform interaction networks.NAR genomics and bioinformatics · 2021Article
- Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19.Molecular neurobiology · 2021Article
- The landscape of molecular chaperones across human tissues reveals a layered architecture of core and variable chaperones.Nature communications · 2021Article
- Prioritization of schizophrenia risk genes from GWAS results by integrating multi-omics data.Translational psychiatry · 2021Article
- Protein Interaction Network Biology in Neuroscience.Proteomics · 2021Review
- PINA 3.0: mining cancer interactome.Nucleic acids research · 2021Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
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 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.
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