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Non-homologous end joining (NHEJ) is a highly conserved mechanism of DNA double-stranded break (DSB) repair. Here we utilize a computational protein-protein interaction method to identify human PRKACB as a potential candidate interacting with NHEJ proteins. We show that the deletion of its yeast homolog, TPK1 that codes for the protein kinase A catalytic subunit reduces the efficiency of NHEJ repair of breaks with overhangs and blunt ends in plasmid-based repair assays. Additionally, tpk1Δ mutants showed defects in the repair of chromosomal breaks induced by HO-site specific endonuclease. Our double deletion mutant analyses suggest that TPK1 and YKU80, a key player in NHEJ could function in parallel pathways. Altogether, here we report a novel involvement for TPK1 in NHEJ.
Pubmed ID: 33008596 RIS Download
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Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.
View all literature mentionsCurated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts.
View all literature mentionsThe SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
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