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Protein-protein interaction maps provide a valuable framework for a better understanding of the functional organization of the proteome. To detect interacting pairs of human proteins systematically, a protein matrix of 4456 baits and 5632 preys was screened by automated yeast two-hybrid (Y2H) interaction mating. We identified 3186 mostly novel interactions among 1705 proteins, resulting in a large, highly connected network. Independent pull-down and co-immunoprecipitation assays validated the overall quality of the Y2H interactions. Using topological and GO criteria, a scoring system was developed to define 911 high-confidence interactions among 401 proteins. Furthermore, the network was searched for interactions linking uncharacterized gene products and human disease proteins to regulatory cellular pathways. Two novel Axin-1 interactions were validated experimentally, characterizing ANP32A and CRMP1 as modulators of Wnt signaling. Systematic human protein interaction screens can lead to a more comprehensive understanding of protein function and cellular processes.
Models, Molecular, Proteomics, Biochemistry, Genetics and Molecular Biology(all), Intracellular Signaling Peptides and Proteins, Nuclear Proteins, Proteins, RNA-Binding Proteins, Nerve Tissue Proteins, Repressor Proteins, Axin Protein, Databases as Topic, Two-Hybrid System Techniques, Humans, Protein Binding
Models, Molecular, Proteomics, Biochemistry, Genetics and Molecular Biology(all), Intracellular Signaling Peptides and Proteins, Nuclear Proteins, Proteins, RNA-Binding Proteins, Nerve Tissue Proteins, Repressor Proteins, Axin Protein, Databases as Topic, Two-Hybrid System Techniques, Humans, Protein Binding
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2K | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.01% |