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Extracellular domains of cell surface receptors and ligands mediate cell-cell communication, adhesion, and initiation of signaling events, but most existing protein-protein "interactome" data sets lack information for extracellular interactions. We probed interactions between receptor extracellular domains, focusing on a set of 202 proteins composed of the Drosophila melanogaster immunoglobulin superfamily (IgSF), fibronectin type III (FnIII), and leucine-rich repeat (LRR) families, which are known to be important in neuronal and developmental functions. Out of 20,503 candidate protein pairs tested, we observed 106 interactions, 83 of which were previously unknown. We "deorphanized" the 20 member subfamily of defective-in-proboscis-response IgSF proteins, showing that they selectively interact with an 11 member subfamily of previously uncharacterized IgSF proteins. Both subfamilies interact with a single common "orphan" LRR protein. We also observed interactions between Hedgehog and EGFR pathway components. Several of these interactions could be visualized in live-dissected embryos, demonstrating that this approach can identify physiologically relevant receptor-ligand pairs.
570, Biochemistry, Genetics and Molecular Biology(all), Molecular Sequence Data, 610, Immunoglobulins, Proteins, Receptors, Cell Surface, Leucine-Rich Repeat Proteins, Ligands, Fibronectins, Protein Structure, Tertiary, Drosophila melanogaster, Animals, Drosophila Proteins, Amino Acid Sequence, Protein Interaction Maps, Sequence Alignment, Phylogeny
570, Biochemistry, Genetics and Molecular Biology(all), Molecular Sequence Data, 610, Immunoglobulins, Proteins, Receptors, Cell Surface, Leucine-Rich Repeat Proteins, Ligands, Fibronectins, Protein Structure, Tertiary, Drosophila melanogaster, Animals, Drosophila Proteins, Amino Acid Sequence, Protein Interaction Maps, Sequence Alignment, Phylogeny
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). | 214 | |
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 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 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |