Human protein interaction networks across tissues and diseases
By Esti Yeger-Lotem, Roded Sharan. 2015
78 citations recorded by the source corpus.
Protein interaction networks are an important framework for studying protein function, cellular processes, and genotype-to-phenotype relationships. While our view of the human interaction network is constantly expanding, less is known about networks that form in biologically important contexts such as within distinct tissues or in disease conditions. Here we review efforts to characterize these networks and to harness them to gain insights into the molecular mechanisms underlying human disease.
Subfields: Molecular Biology, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Marinka Zitnik
- Jure Leskovec
- Lorrie Boucher
- Mike Tyers
- Chris Stark
- Bobby-Joe Breitkreutz
- Kara Dolinski
- Rose Oughtred
In Computational Biology & Bioinformatics
- Jure Leskovec
- Marinka Zitnik
- Petar Velickovic
- Yiding Yang
- Xinchao Wang
- Bernard Ghanem
- Guohao Li
- Pietro Lio'
Citations in the corpus
- Predicting multicellular function through multi-layer tissue networks (2017, background): “…functions of proteins frequently depend on the tissue, and different proteins can have different cellular functions in different tissues (Lois et al. , 2002; Rakyan et al. , 2008; Magger et al. , 2012; Guan et al. , 2012; Fagerberg et al. , 2014; Yeger-Lotem and Sharan, 2015; Hu et al. , 2016).”
- The BioGRID interaction database: 2019 update (2018, background): “Biological interaction networks, as aggregated from a plethora of individual protein or genetic interactions, as well as interactions of RNA, DNA, membranes, carbohydrates and small molecule metabolites, serve as a framework for understanding gene–phenotype relationships and the mechanistic basis fo”